Autonomous Agents, Natural Language & Dialog Systems 2017


Notes:

  • Artificial agents
  • Intelligent agents

Wikipedia:

References:

See also:

3APL (Artificial Autonomous Agents Programming Language) | A4 (Agile Architecture and Autonomous Agents) | MARIE (Mobile and Autonomous Robotics Integration Environment)


Is spoken language all-or-nothing? Implications for future speech-based human-machine interaction
RK Moore – Dialogues with Social Robots, 2017 – Springer
… By combining automatic speech recognition and speech synthesis with natural language processing and … of the consequences of increasing the flexibility of spoken language dialogue systems; increasing flexibility … if care is taken to align how an autonomous agent looks, sounds …

The negotiation dialogue game
R Laroche, A Genevay – Dialogues with Social Robots, 2017 – Springer
… such a web client without handling the speech and natural language understanding and … Genevay, A., Laroche, R.: Transfer learning for user adaptation in spoken dialogue systems. In: Proceedings of the 15th International Conference on Autonomous Agents and Multi-Agent …

Multimodal halef: An open-source modular web-based multimodal dialog framework
Z Yu, V Ramanarayanan, R Mundkowsky… – Dialogues with Social …, 2017 – Springer
… be used to perform simple processing steps, such as basic natural language understanding on … B.: Let’s go lab: a platform for evaluation of spoken dialog systems with real … In: Proceedings of the International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS …

Deal or no deal? end-to-end learning for negotiation dialogues
M Lewis, D Yarats, YN Dauphin, D Parikh… – arXiv preprint arXiv …, 2017 – arxiv.org
… We gather a large dataset of human-human negoti- ations on a multi-issue bargaining task, where agents who cannot observe each other’s reward functions must reach an agreement (or a deal) via natural language dialogue …

Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations
B Harrison, U Ehsan, MO Riedl – arXiv preprint arXiv:1702.07826, 2017 – arxiv.org
… Autonomous agent may have a state representation tailored to a spe- cific environment or may use a … Translation from Internal Representation to Natural Language … Encoder-decoder networks, which have primarily been used in machine translation and dialogue systems, are a …

Spoken instruction-based one-shot object and action learning in a cognitive robotic architecture
M Scheutz, E Krause, B Oosterveld, T Frasca… – … on Autonomous Agents …, 2017 – dl.acm.org
… Copyright c 2017, International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org) … different robots learns two different types of knowledge from natural language instructions: (1 … pickUp(self,partOf(UT1,knife))” and passes it on to the Dialogue system …

Neural personalized response generation as domain adaptation
W Zhang, T Liu, Y Wang, Q Zhu – arXiv preprint arXiv:1701.02073, 2017 – arxiv.org
… [3] A. Rosenfeld, I. Zuckerman, E. Segalhalevi, O. Drein, S. Kraus, Negochat-a: a chat-based negotiation agent with bounded rationality, Autonomous Agents and … conditioned lstm-based natural language generation for spoken dialogue systems, Computer Science …

A tale of two architectures: A dual-citizenship integration of natural language and the cognitive map
T Williams, C Johnson, M Scheutz… – … on Autonomous Agents …, 2017 – dl.acm.org
… world, campus-like environments, while DIARC uses high-level cognitive representations to facilitate human-like tasking through natural language … Appears in: Proceedings of the 16th International Confer- ence on Autonomous Agents and Multiagent Systems (AA- MAS 2017 …

The rise of bots: A survey of conversational interfaces, patterns, and paradigms
LC Klopfenstein, S Delpriori, S Malatini… – Proceedings of the 2017 …, 2017 – dl.acm.org
… Dialog Systems (SDS) started drawing the attention of aca- demics and the industry [22 … pectations about the agent’s interactions: users may assume that a chatbot will be able to “chat” with them using natural language, but only a subset of autonomous agents are designed …

Artificial cognition for social human–robot interaction: An implementation
S Lemaignan, M Warnier, EA Sisbot, A Clodic… – Artificial Intelligence, 2017 – Elsevier
… 1 The natural language processing component illustrates this structure: instead of being an independent input modality whose outputs would be unidirectionally fed to “higher” decisional components, it lives in the deliberative space at the same level as other deliberative …

The future of human robot teams in the army: factors affecting a model of human-system dialogue towards greater team collaboration
AW Evans, M Marge, E Stump, G Warnell… – Advances in Human …, 2017 – Springer
… To this end, there have been several human-to-robot dialogue systems developed for … Verbal communication using natural language provides a hands-free method to engage in a … Each action that an autonomous agent can deliberately perform will be characterized in terms of …

Deep reinforcement learning: An overview
Y Li – arXiv preprint arXiv:1701.07274, 2017 – arxiv.org
… 2012; Zinkevich, 2017); artificial intelligence (RussellandNorvig, 2009), deep learning in neural networks (Schmidhuber, 2015); natural language processing (NLP … learning (Zhu and Goldberg, 2009); Bayesian RL (Ghavamzadeh et al., 2015); spoken dialogue systems (Hinton et …

A novel description language for two-agent dialogue games
A Sawicka, M Kacprzak, A Zbrzezny – International Joint Conference on …, 2017 – Springer
… some facts players would like to talk about and they might as well be whole sentences expressed in the natural language eg “I’m … The section Formulae contains the properties of dialogue systems to be verified, expressed in language based on CTL logic introduced by Emerson …

User interaction for interactive storytelling
M Cavazza, F Charles – Handbook of Digital Games and Entertainment …, 2017 – Springer
… state-of-the-art in speech recognition and natural language understanding … buy an emotional planner, in Proceedings 3rd International Conference on Autonomous Agents … Technologies for Speech-Based Systems: Perception in Multimodal Dialogue Systems, Springer-Verlag …

Hybrid chat and task dialogue for more engaging hri using reinforcement learning
I Papaioannou, C Dondrup, J Novikova… – Robot and Human …, 2017 – researchgate.net
… [5] DL Chen and RJ Mooney, “Learning to interpret natural language navigation instructions … [10] A. Dingli and D. Scerri, “Building a hybrid: Chatterbot – dialog system,” Text, Speech … L. Iocchi, PU Lima, D. Nardi, and PF Palamara, “Petri net plans,” Autonomous Agents and Multi …

A conventional dialogue model based on dialogue patterns
GD Duplessis, A Pauchet, N Chaignaud… – … Journal on Artificial …, 2017 – World Scientific
Page 1. International Journal on Artificial Intelligence Tools Vol. 26, No. 1 (2017) 1760009 (23 pages) c World Scientific Publishing Company DOI: 10.1142/S0218213017600090 A Conventional Dialogue Model Based on Dialogue Patterns …

Multimodal speech and pen interfaces
PR Cohen, S Oviatt – The Handbook of Multimodal-Multisensor Interfaces, 2017 – dl.acm.org
… 2002. MATCH: an architecture for multimodal dialogue systems … 1986. Combining deictic gestures and natural language for referent identification … In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, pp. 459–466. 417, 426 …

Bwibots: A platform for bridging the gap between ai and human–robot interaction research
P Khandelwal, S Zhang, J Sinapov… – … Journal of Robotics …, 2017 – journals.sagepub.com
Recent progress in both AI and robotics have enabled the development of general purpose robot platforms that are capable of executing a wide variety of complex,…

Culture-specific models of negotiation for virtual characters: multi-attribute decision-making based on culture-specific values
E Nouri, K Georgila, D Traum – AI & society, 2017 – Springer
… As described in Sect. 4.2, it has been integrated into a virtual human dialog system that supports both interactions between virtual agents, and interactions between virtual agents and humans using natural language. 4.1 Hofstede dimensions and assumed values …

A conversational dialogue manager for the humanoid robot erica
P Milhorat, D Lala, K Inoue, T Zhao… – Proceedings of …, 2017 – sap.ist.i.kyoto-u.ac.jp
… In: International Conference on Autonomous Agents and Multi-Agent Systems, 1, pp … In: In- terantional Joint conference on Natural Language Processing, pp … Higashinaka, R., Nakano, M., Aikawa, K.: Corpus-based discourse understanding in spoken dialogue systems …

Simulating empathic behavior in a social assistive robot
B De Carolis, S Ferilli, G Palestra – Multimedia Tools and Applications, 2017 – Springer
When used as an interface in the context of Ambient Assisted Living (AAL), a social robot should not just provide a task-oriented support. It should also try to establish a social empathic relation wi.

Curious partner: an autonomous system that proactively dialogues with human teammates
SS Mehta, EA Doucette… – Micro-and Nanotechnology …, 2017 – spiedigitallibrary.org
… 2 In order to have successful cooperation in co-robotic teams, humans and autonomous agents must resolve their differences and maintain common … 5,19,20 Human-autonomy dialog using natural language has been widely used in co-robotics, eg, robotic assembly, 5,21 …

Explainable Planning
M Fox, D Long, D Magazzeni – arXiv preprint arXiv:1709.10256, 2017 – arxiv.org
… the design of interfaces that help this understanding (eg, spoken language dialog systems [Bidot et … with verbalization, where the robot experience is de- scribed via natural language [Rosenthal et … used Explain- able Agency to refer to the ability of autonomous agents to explain …

Planning for persuasion
E Black, AJ Coles, C Hampson – … Conference on Autonomous Agents …, 2017 – dl.acm.org
… Copyright c 2017, International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org … Caminada [10] presents an argument dialogue system that can be used to explain why an argument is justified under the grounded semantics [14] and shows that this …

Methodologies for realizing natural-language-facilitated human-robot cooperation: A review
R Liu, X Zhang – arXiv preprint arXiv:1701.08756, 2017 – arxiv.org
Page 1. submitted to Knowledge-based Systems, January 2017 Methodologies realizing natural-language-facilitated human-robot cooperation: A review … Abstract: It is natural and efficient to use Natural Language (NL) for transferring knowledge from a human to a robot …

Computational Approaches to Dialogue
D Traum – The Routledge Handbook of Language and Dialogue, 2017 – books.google.com
… some forms of human–machine interaction, such as purposeful use and understanding of natural language expressions and interactive patterns. Examining the types of formal and computational models that are used to model and manage computer dialogue systems can be …

The Communicative Activity of Making Suggestions as an Interactional Process: Towards a Dialog Model for HAI
C Opfermann, K Pitsch, R Yaghoubzadeh… – Proceedings of the 5th …, 2017 – dl.acm.org
… elicit most simple and explicit user responses in order to enhance natural language understanding (NLU … as a confirmation, the question remains how an autonomous spoken dialog system could manage this … see Figure 6), a study was set up with the autonomous agent system …

Incorporating android conversational agents in m?learning apps
D Griol, JM Molina, Z Callejas – Expert Systems, 2017 – Wiley Online Library
… Multimodal conversational agents (Pieraccini, 2012; McTear and Callejas, 2013; Griol et al., 2014) can be defined as computer programmes designed to emulate communication capabilities of a human being including natural language and several communication modalities …

Pedagogical agents to support embodied, discovery-based learning
A Abdullah, M Adil, L Rosenbaum, M Clemmons… – … on Intelligent Virtual …, 2017 – Springer
… An overview of our MITp autonomous agent system architecture is shown in Figure 3. It consists of a control system and Unity3D front end … Further work is required to analyze these researcher inter- ventions and convert their decisions into procedures for the autonomous agent …

Multimodal Dialogs (MMD): A large-scale dataset for studying multimodal domain-aware conversations
A Saha, M Khapra, K Sankaranarayanan – arXiv preprint arXiv:1704.00200, 2017 – arxiv.org
… scale multi- modal conversational dataset in the retail domain that embodies the required generic capabilities for such autonomous agents … Such a decoder has been used successfully for var- ious natural language generation tasks including text conversation systems (Serban …

Persistent memory in repeated child-robot conversations
I Leite, A Pereira, JF Lehman – Proceedings of the 2017 Conference on …, 2017 – dl.acm.org
… CCS Concepts •Human-centered computing ? User studies; Empirical studies in HCI; Natural language interfaces; … behind the curtain in real-time, while PIPER’s responses and the storage and reuse of elicited infor- mation are all controlled by a dialog system implemented in …

Remembering a Conversation–A Conversational Memory Architecture for Embodied Conversational Agents
M Elvir, AJ Gonzalez, C Walls, B Wilder – Journal of Intelligent …, 2017 – degruyter.com
… It describes an investigation into developing such a memory architecture and integrating it into an ECA. ECAs are virtual agents whose purpose is to engage in conversations with human users, typically through natural language speech …

Computer Vision and Natural Language Processing: Recent Approaches in Multimedia and Robotics
P Wiriyathammabhum, D Summers-Stay… – ACM Computing …, 2017 – dl.acm.org
71 Computer Vision and Natural Language Processing: Recent Approaches in Multimedia and Robotics … 1.1. Computer Vision Tasks and Their Relationships to Natural Language Processing Computer Vision (CV) tasks can be summarized by the concept of 3Rs [Malik et al …

Dialogue with Robots to Support Symbiotic Autonomy
A Vanzo, D Croce, E Bastianelli, G Gemignani… – Dialogues with Social …, 2017 – Springer
… AAMAS ’15, International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC (2015)Google … Garoufi, K., Koller, A.: Automated planning for situated natural language generation … J., Wrede, B.: The curious robot as a case-study for comparing dialog systems …

Strategies and Mechanisms to Enable Dialogue Agents to Respond Appropriately to Indirect Speech Acts
G Briggs, M Scheutz – hrilab.tufts.edu
… directives and how to enable different response forms in these computational dialogue systems … I. INTRODUCTION Language-enabled autonomous agents are becoming in- creasingly prevalent in … these agents using speech and other forms of natural language (NL), instead of …

Deep Reinforcement Learning for Inquiry Dialog Policies with Logical Formula Embeddings
T Hiraoka, M Tsuchida, Y Watanabe – arXiv preprint arXiv:1708.00667, 2017 – arxiv.org
… [10] ——, “An inquiry dialogue system,” Autonomous Agents and Multi … 1. [16] R. Socher, CC Lin, C. Manning, and AY Ng, “Parsing natu- ral scenes and natural language with recursive neural networks,” in Proceedings of the 28th international conference on machine learning …

Cognition-enabled Task Interpretation for Human-Robot Teams in a Simulation-based Search and Rescue Mission
F Yazdani, M Scheutz, M Beetz – … Conference on Autonomous Agents …, 2017 – dl.acm.org
… Copyright c 2017, International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org) … system and show the inter- pretation from high-level natural language commands into low … Those re- sults can be used for dialogue systems in order to improve the …

Natural Language Interfaces for Data Analysis with Visualization: Considering What Has and Could Be Asked
B Kozlíková, T Schreck, T Wischgoll – cc.gatech.edu
… B., JOHNSON A., GONZALEZ A., LEIGH J.: Towards a dialogue system that supports … A., LEE S.: Articulate: A semi- automated model for translating natural language queries into … In Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent …

The state-of-the-art in autonomous wheelchairs controlled through natural language: A survey
T Williams, M Scheutz – Robotics and Autonomous Systems, 2017 – Elsevier
… The state-of-the-art in autonomous wheelchairs controlled through natural language: A survey … Abstract. Natural language is a flexible and powerful control modality which can transform a wheelchair from a vehicle into a genuine helper …

Challenges in Building Highly Interactive Dialogue Systems
AI Magazine – AI Magazine, 2017 – cs.utep.edu
… In Proceedings of the 9th International Conference on Autonomous Agents and Multi-Agent … In Proceedings of the Empirical Methods in Natural Language Processing (EMNLP 2013) … presented at the 2015 International Workshop on Spoken Dialogue Systems Technology, 11 …

Effective Paraphrase Expansion in Addressing Lexical Variability
V Konovalov, M Adler, I Dagan – fruct.org
… the accuracy and the robustness of supervised models in situated dialogue systems” in Conference … D. DeVault, J. Gerten, S. Robinson, and B. Martinovski, “Natural language dialogue architec … in Proceedings of The 8th International Conference on Autonomous Agents and Mul …

Cognitive-affective dialog generation. integrating GOAL with dialog management
SN Conde Camacho – 2017 – pequod.det.uvigo.es
… the Virtual Humans Project, its goal is to design autonomous agents that support face … The KR models present in classical dialog systems tend to be too specific … knowledge representation formalism and communication language across the natural language understanding units …

Debbie, the Debate Bot of the Future
G Rakshit, KK Bowden, L Reed, A Misra… – arXiv preprint arXiv …, 2017 – arxiv.org
… In Proceedings of the first international conference on Autonomous agents, pages 122–129 … Developing Non-goal Dialog System Based on Examples of Drama Television, pages 355–361 … Elizaa computer program for the study of natural language communica- tion between man …

Predicting Turn-Taking by Compact Gazing Transition Patterns in Multiparty Conversation
L Tian, Q Jia, Z Zhu – Pacific-Rim Symposium on Image and Video …, 2017 – Springer
… Raux, A., Eskenazi, M.: A finite-state turn-taking model for spoken dialog systems … In: Proceedings of the First International Joint Conference on Autonomous Agents and Multiagent … Traum, DR: A computational theory of grounding in natural language conversation (1994)Google …

Managing Casual Spoken Dialogue Using Flexible Schemas, Pattern Transduction Trees, and Gist Clauses
SZ Razavi, R EDU, LK Schubert, MR Ali, ME Hoque – cogsys.org
… But most of these conversational agents lack a module for natural language understanding, and dialogue be- havior … Current spoken dialogue systems use long pauses (eg, 2 seconds) as signals for seizing the turn … on Autonomous Agents and Multiagent Systems: Volume 1 (pp …

Developing Educative Multimodal Conversational Applications for Mobile Devices
D Griol, Z Callejas – … on Technology-Centric Strategies for Higher …, 2017 – books.google.com
… Proc. of 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS’10), 1629-1630 … Proc. of the Fifth European Workshop in Natural Language Gen- eration, 95–105 … Dialog systems for Advanced Learning: Applications and Research. Proc …

Deep Reinforcement Learning for Conversational AI
M Jadeja, N Varia, A Shah – arXiv preprint arXiv:1709.05067, 2017 – arxiv.org
… e goal of the autonomous agent is to maximize a reward (see Figure 1) and generally … e above results prove that DRL is a reliable framework for training dialogue systems and strategic … in the areas speci c to conversational AI, speech recognition and natural language processing …

Conscious vs. Unaware Evaluation––Using Collective Intelligence for an Automatic Evaluation of Acts
R Rzepka, K Araki – researchgate.net
… interlocutor (or the supervisor) for feedback every time a dialog system processes or … situations with their consequences being described, can an autonomous agent judge a … Also natural language understanding techniques and textual data, although constantly growing, are often …

Automatic Measures to Characterise Verbal Alignment in Human-Agent Interaction
GD Duplessis, C Clavel… – 18th Annual Meeting of …, 2017 – hal.archives-ouvertes.fr
… Recent work aims at introducing entrainment in a fully trainable natural language system by exploiting … rely on efficient algorithms making an online usage in a dialogue system re- alistic … of the human participants was told they were interacting with an autonomous agent while the …

Defining Soldier Intent in a Human-Robot Natural Language Interaction Context
E Holder – 2017 – dtic.mil
… US Army Research Laboratory Defining “Soldier Intent” in a Human–Robot Natural Language Interaction Context by Eric Holder … US Army Research Laboratory Defining “Soldier Intent” in a Human–Robot Natural Language Interaction Context by Eric Holder …

BEAT-o-matic: a baseline for learning behavior expressions from utterances
M Gallé, A Arora – pdfs.semanticscholar.org
… As open-domain dialogue systems are still out-of-scope of our current understanding of … They employ a natural language generator that can express personality dimensions of the … In Proceedings of the 7th international joint conference on Autonomous agents and multiagent …

Gaze and filled pause detection for smooth human-robot conversations
M Bilac, M Chamoux, A Lim – Humanoid Robotics (Humanoids) …, 2017 – ieeexplore.ieee.org
… today’s voice services rely on automatic speech recognition and natural language understanding to … our filler detection method and human gaze information into the dialogue system … In Proceedings of the 2014 International Conference on Autonomous Agents and Multia- gent …

A Unified Theory of Learning, Doing and Teaching Hierarchical Tasks: The Learn-Do-Teach Challenge for Collaborative Agents
C Rich, CL Sidner – pdfs.semanticscholar.org
… Broader Impacts: Autonomous agents and robots that interact with humans in diverse … Building a Bridge between Intelligent Tutoring and Collaborative Dialogue Systems” [51] … developed separately, primarily as subfields of robotics and natural language processing, respectively …

Leveraging Conversational Systems to Assists New Hires During Onboarding
P Chandar, Y Khazaeni, M Davis, M Muller… – IFIP Conference on …, 2017 – Springer
… In: Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP … IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems (2011)Google … of the Third International Joint Conference on Autonomous Agents and Multiagent …

Interruptions as Speech Acts
P Wallis, B Edmonds – ceur-ws.org
… Critically for dialog systems, the goal is explicit and can be used in explanations of behaviour … intentional and cooperative and is a basis for our goal of having machines do really natural language processing … In: Third Interna- tional Conference on Autonomous Agents (Agents 99 …

Improvised theatre alongside artificial intelligences
K Mathewson, P Mirowski – AAAI Conference on Artificial …, 2017 – pdfs.semanticscholar.org
… over the uncanny valley, toward a future where humans and autonomous agents converse naturally … Adversarial methods for natural language are another means of recent exploration (Li et al … evaluation metrics must be devised to score these open-domain dialog systems (Liu et …

A new friend in our smartphone?: observing interactions with chatbots in the search of emotional engagement
M Portela, C Granell-Canut – … of the XVIII International Conference on …, 2017 – dl.acm.org
… sophisticated conversations to fully exploit the capabilities of natural language processing … In Advances in Natural Multimodal Dialogue Systems, Jan CJ van Kuppevelt, Laila … Communicative Acts to Achieve Contextual Embodied Agents, Autonomous Agents 2001 Conference …

Affordable On-line Dialogue Policy Learning
C Chang, R Yang, L Chen, X Zhou, K Yu – … Methods in Natural Language …, 2017 – aclweb.org
Page 1. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pages 2200–2209 Copenhagen, Denmark, September 7–11, 2017 … The key to building an evolvable dialogue system in real-world scenarios is to en- sure an affordable on-line …

Leveraging Commonsense Reasoning and Multimodal Perception for Robot Spoken Dialog Systems
D Lu, S Zhang, P Stone, X Chen – cs.utexas.edu
… recognition: The speech recognition module converts speech signals (voice) into natural language text … B. Thomson, and JD Williams, “Pomdp-based statistical spoken dialog systems: A review … R. Kaplow, “A survey of point-based pomdp solvers,” Autonomous Agents and Multi …

Recurrent Neural Network to Deep Learn Conversation in Indonesian
A Chowanda, AD Chowanda – Procedia Computer Science, 2017 – Elsevier
… Natural Language Processing (NLP) is still considered a daunting task to solve for us … International Foundation for Autonomous Agents and Multiagent Systems; 2016, p. 1343–1344 … Charlin, L., Pineau, J.. A survey of available corpora for building data-driven dialogue systems …

A Robot Commenting Texts in an Emotional Way
L Volkova, A Kotov, E Klyshinsky, N Arinkin – Conference on Creativity in …, 2017 – Springer
… References. 1. Allen, SR: Concern processing in autonomous agents, Ph.D. thesis … (eds.): Affective Dialogue Systems … Wierzbicka, A.: Lingua Mentalis: The Semantics of Natural Language. Academic Press, New York (1980)Google Scholar. 48 …

Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models
B Liu, T Yu, I Lane, OJ Mengshoel – arXiv preprint arXiv:1711.08493, 2017 – arxiv.org
… In this paper, we focus on online learning of response selection in retrieval-based dialog systems … I lost my password. The printer is out of paper. Reward: 0 (Indicating bad response) Figure 1: Illustration of the online model for response se- lection in dialog systems …

Towards a spoken dialog system capable of acoustic-prosodic entrainment
A Weise – 2017 – pdfs.semanticscholar.org
… only true when people were interacting with a person but even when they believed their communication partner was a natural language system … It can therefore be concluded that human users of actual dialog systems will be influenced with regard to the format of their questions …

I Probe, Therefore I Am: Designing a Virtual Journalist with Human Emotions
KK Bowden, T Nilsson, CP Spencer, K Cengiz… – arXiv preprint arXiv …, 2017 – arxiv.org
… continuously carried out in parallel to the development of the dialogue system in order … Microsoft Bob is an example of such an overtly friendly natural language system that was … games,” in In Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent …

4 Who is really in control?
J Oberlander – Design for Personalisation, 2017 – books.google.com
… That kind of switch might be enough to undermine a user’s view that the personality behind the machine represents a fixed, autonomous agent … p. 88 Note 1 Ranked by CrAg, the Critical Agents Dialogue system … Natural Language Engineering, 13, 191–233. Page 157 …

Fine Grained Knowledge Transfer for Personalized Task-oriented Dialogue Systems
K Mo, Y Zhang, Q Yang, P Fung – arXiv preprint arXiv:1711.04079, 2017 – arxiv.org
… Training a whole personalized dialogue system requires a lot of data Copyright c 2018, All rights reserved. 1: Spoken Language Understanding (SLU) 2: Dialogue State Tracking (DST) 3: Dialogue Policy Learning (DPL) 4: Personalized Natural Language Generation (NLG) …

Developing Virtual Patients with VR/AR for a natural user interface in medical teaching
MA Zielke, D Zakhidov, G Hardee… – Serious Games and …, 2017 – ieeexplore.ieee.org
… Designing more realistic virtual patients requires a framework that comprises: a natural user interface aided by natural language processing; appropriate visual and auditory fidelity to represent an emotive virtual patient; the understanding of emotion through both sensing …

A Survey of Task-oriented Dialogue Systems
K Mo – 2017 – cse.ust.hk
… System Response Page 5. Sub-tasks in Task-oriented dialogue systems • 1: Spoken Language Understanding (SLU) • SLU turns natural language into user intention and slot-values, and it takes as input and outputs structured user action • 2: Dialogue State Tracking (DST) …

The CaMeLi Framework—A Multimodal Virtual Companion for Older Adults
NA Nijdam, D Konstantas – … and Selected Results from the SAI …, 2017 – books.google.com
… Specifically, we developed an autonomous agent to motivate older adults … Schulman, D., Sidner, CL: A reusable framework for health counseling dialogue systems based on a … 2012) Kelley, JF: An iterative design methodology for user-friendly natural language office information …

An overview of open-source chatbots social skills
A Augello, M Gentile, F Dignum – researchgate.net
… In fact, exploiting natural language processing techniques, the in- puts are analyzed both from a … This is a logical starting point for dialogue systems as the topic of a conver … A challenge, in Proceedings of the 2013 inter- national conference on Autonomous agents and multiagent …

Autonomous Narration of Humanoid Robot Kitchen Task Experience
Q Zhu, V Perera, M Wächter, T Asfour, M Veloso – h2t.anthropomatik.kit.edu
… To this end, we present a verbalization system that generates natural language explanations of the robot’s past navigation and manipulation experience … Therefore, we present a verbalization system, which lets the robot narrate its past experience in natural language. Fig …

Debating Technology for Dialogical Argument: Sensemaking, Engagement, and Analytics
J Lawrence, M Snaith, B Konat, K Budzynska… – ACM Transactions on …, 2017 – dl.acm.org
… to try to harmonize the strong formal tradition initiated to a large degree by Dung [1995], the natural language research described at … Robertson [2004] has demonstrated that a language for expressing such dialogue systems in general offers significant practi- cal and theoretical …

Automatic generation of actionable feedback towards improving social competency in job interviews
SK Nambiar, R Das, S Rasipuram… – Proceedings of the 1st …, 2017 – dl.acm.org
… Artificial Listener(SAL) is a real time interactive mul- timodal dialogue system that focuses … From the transcriptions that we have extracted, we use natural language toolkit to obtain … In Proceedings of the 2014 international conference on Autonomous agents and multi-agent …

Oxford Handbooks Online
R Fernández – staff.fnwi.uva.nl
… the basis for the development of systems for the automatic processing of conversational data and of dialogue systems for human … of spoken language and, as the reader may have guessed, they complicate matters for parsers and natural language understanding components in …

Assigning personality/identity to a chatting machine for coherent conversation generation
Q Qian, M Huang, X Zhu – arXiv preprint arXiv …, 2017 – pdfs.semanticscholar.org
Page 1. Assigning Personality/Identity to a Chatting Machine for Coherent Conversation Generation Qiao Qian1, Minlie Huang1, Haizhou Zhao2, Jingfang Xu2, Xiaoyan Zhu1 1State Key Laboratory of Intelligent Technology and …

Debating Technology for Dialogical Argument
J Lawrence, M Snaith, B Konat, K Budzynska, C Reed – discovery.dundee.ac.uk
… to try to harmonize the strong formal tradition initiated to a large degree by Dung [1995], the natural language research described at … Robertson [2004] has demonstrated that a language for expressing such dialogue systems in general offers significant practi- cal and theoretical …

Persuasive Strategies in Dialogue Games with Emotional Reasoning
M Kacprzak – International Joint Conference on Rough Sets, 2017 – Springer
… and (2) Does the winning strategy exist? In response to these questions, it may be helpful to use a tool for automated verification of dialogue systems … In dialogue systems we analyze sequences of actions (dialogue histories) rather than sequences of states …

. Computational gesture research
S Kopp – Why Gesture?: How the hands function in speaking …, 2017 – books.google.com
… tasks.” In Proceedings of the 8th International Conference on Autonomous Agents and Multiagent … conversation- al agents.” In Advances in Natural Multimodal Dialogue Systems, JCJ van … Conference on Natural Language Generation (INLG 2000), 1–8. Chiu, Chung-Cheng, & …

TEATIME: a Formal Model of Action Tendencies in Conversational Agents
A Yacoubi, N Sabouret – perso.limsi.fr
… limsi.fr Keywords: Conversational Agents, Computational Model of Affects, Formal Model, Dialogue System. Abstract: This … the agent. It is important to note that our work does not concern Natural Language Processing (NLP). We use …

Museum Experience Design: A Modern Storytelling Methodology
F Dal Falco, S Vassos – The Design Journal, 2017 – Taylor & Francis
… Natural Language Conversation … Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models, http://arxiv.org/abs/1507.04808 Serota, N … In Proceedings of the 11th International Conference on Autonomous Agents and Multi Agent Systems, 2012 …

Towards a framework for computational persuasion with applications in behaviour change
A Hunter – Argument & Computation – content.iospress.com
… Furthermore, there has been the development of software solvers for determining extensions (see for example [33,137]), and the application of natural language processing techniques for constructing argument graphs from free text (see for example [93]) …

Non-Markovian Control with Gated End-to-End Memory Policy Networks
J Perez, T Silander – arXiv preprint arXiv:1705.10993, 2017 – arxiv.org
… As an alternative, attention-based models have already provided an encouraging alternative on sev- eral sequential decision tasks with immediate reward maximization like natural language translation [BCB14] or end-to-end dialog systems …

Multi-layer ontology based information fusion for situation awareness
FP Pai, LJ Yang, YC Chung – Applied Intelligence, 2017 – Springer
… to standardize the incoming information syntactically and semantically, and thus to orchestrate the autonomous agent works is the … In the fields of artificial intelligence, information retrieval, natural language processing, knowledge engineering and especially e-commerce systems …

A Comparative Meta-Analysis of Research on Embodied Pedagogical Agents (PAs)
H Darwish – researchgate.net
Page 1. 1 A Comparative Meta-Analysis of Research on Embodied Pedagogical Agents (PAs) Dr. Hamda Darwish Assistant Professor, Suhar College of Applied Sciences Abstract This paper reports a comparative meta-analysis study of empirical studies …

Learning proactive behavior for interactive social robots
P Liu, DF Glas, T Kanda, H Ishiguro – Autonomous Robots, 2017 – Springer
… The technique we propose begins from the problem of retrieving clusters from sensor data of unconstrained natural language and motion trajectories, and … has been made in HRI (Thomaz and Chao 2011; Chao and Thomaz 2011) and other spoken dialogue systems as well …

A study measuring the impact of shared decision making in a human-robot team
MQ Azhar, EI Sklar – The International Journal of Robotics …, 2017 – journals.sagepub.com
This paper presents the results of a user study in which the impact of sharing decision making in a human-robot team was measured. In the experiments outlined h…

Evaluation of Modern Tools for an OMSCS Advisor Chatbot
E Gregori – 2017 – smartech.gatech.edu
… “?Pedagogical agents are autonomous agents that occupy computer learning environments and facilitate learning by interacting with students or other agents (eg [29], [30], [31], and [32]) … “?A text based natural language dialogue system specifically developed for the purpose …

19 Speech Synthesis: State of the Art and Challenges for the Future
K Georgila – Social Signal Processing, 2017 – books.google.com
… alternatively text-to-speech synthesis) means automatically con- verting natural language text into … There are also dialogue system applications where it is of great importance that … In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (pp …

Towards multi-modal, multi-party virtual dialog systems
R Harel – 2017 – dspace.library.uu.nl
… Towards multi-modal, multi-party virtual dialog systems by Raoul Harel … we propose two tools that would aid in the development of generally applicable, multi-modal, multi- party dialog systems. The rst is a system for the management of communication between actors, and …

Autonomous Agents Modelling Other Agents: A Comprehensive Survey and Open Problems
SV Albrecht, P Stone – arXiv preprint arXiv:1709.08071, 2017 – arxiv.org
… goals and plans of agents (Schmidt et al., 1978) were applied in automated dialogue systems to understand and disambiguate the intentions of … The purpose of the present article is to provide a comprehensive survey of methods which enable autonomous agents to model other …

Structured learning for spoken language understanding in human-robot interaction
E Bastianelli, G Castellucci, D Croce… – … Journal of Robotics …, 2017 – journals.sagepub.com
Robots are slowly becoming a part of everyday life, being marketed for commercial applications such as telepresence, cleaning or entertainment. Thus, the abilit…

Affect Aware Ambient Intelligence: Current and Future Directions
C KARYOTIS, F DOCTOR, R IQBAL… – State of the Art in AI …, 2017 – books.google.com
… in [25]. It has been claimed by a number of researchers to be a very promising approach in modelling and recognizing emotions due to its ability to handle uncertainties and permit natural language queries [44]. Decision Trees …

Verbalization of Service Robot Experience as Explanations in Language Including Vision-Based Learned Elements
SPP Selvaraj – 2017 – pdfs.semanticscholar.org
… Our initial introduction of verbalization requires manual grounding of the log data to natural language phrases which makes the algorithm unscalable … We then discuss and an- alyze the classifier we use to ground the log data to natural language automatically …

A review of spatial reasoning and interaction for real-world robotics
C Landsiedel, V Rieser, M Walter, D Wollherr – Advanced Robotics, 2017 – Taylor & Francis
… The first part concerns natural language interaction between robots and their human users about spatial relationships. Dialogue systems for such grounded, situated human–robot interaction (HRI) are discussed in Section 2.1 …

AI in Informal Science Education: Bringing Turing Back to Life to Perform the Turing Test
AJ Gonzalez, JR Hollister, RF DeMara, J Leigh… – International Journal of …, 2017 – Springer
… a graphical embodiment of the computer (the avatar) that speaks in natural language and also understands natural language speech … With a more sophisticated dialog system than Mel, Sergeant Blackwell’s capabilities for conversation provide the user with a more natural human …

Computational Study of Primitive Emotional Contagion in Dyadic Interactions
I HUPONT, C Clavel… – IEEE Transactions on …, 2017 – ieeexplore.ieee.org
… Nevertheless, even though nowadays virtual agents are largely equipped with abilities for using natural language, conducting dialog, expressing emotions and nonverbal be- havior, their alignment strategies still rely on “ping-pong communication”, which is insufficient to …

Visually grounded interaction and language
F Strub, H de Vries, A Das, S Kottur… – Schedule …, 2017 – pdfs.semanticscholar.org
… understanding and modeling the relationship between language and vision in humans —semantic systems and modeling of natural language and visual … Gallant 11: 25 AM The evolution of Visually grounded dataset Parikh 02: 00 PM Dialogue systems and RL: interconnecting …

Human-Centered Design of Robot Explanations
R Scalise – pdfs.semanticscholar.org
… Many approaches use rule-based dialogue systems [3, 25, 50] or are structured around formal logics [29, 48, 62]. When giving explanations in natural language, one approach is a template-based methodology to summarizing a system’s past actions [61] …

An Affect-Aware Dialogue System for Counseling
L Ring – 2017 – search.proquest.com
An Affect-Aware Dialogue System for Counseling. Abstract … interactive web pages for the user to read [106] , or by mimicking face-to-face conversations. through the use of complex dialogue systems built upon models of human discourse [4] . While …

Criticality of Components in Service-Oriented Distributed Systems
DG Design – 2017 – dai-labor.de
… Learning Mechanisms on OWL-S Service Descriptions for Automated Service Selection Johannes Fähndrich, Nils Masuch, Lars Borchert and Sahin Albayrak In: 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS); 2017 …

Inter-annotator agreement
R Artstein – Handbook of linguistic annotation, 2017 – Springer
… among five annotators who judged the adequacy of a Natural Language Generation output … D., Artstein, R.: Making grammar-based generation easier to deploy in dialogue systems … In: Eleventh International Conference on Autonomous Agents and Multiagent Systems (AAMAS) …

Situation Understanding for Turn-Taking in Human-Robot Dialogue
???? – 2017 – ir.library.osaka-u.ac.jp
… Humanoid Robots in Public Spaces The conventional architecture of spoken dialogue systems consists of five modules: automatic speech recognition, natural language understanding, dialogue manage- ment, natural language generation, and text-to-speech synthesis [36, 51] …

Transparency in Robot Autonomy
MM Veloso – Workshop–Beneficial AI, 2017 – futureoflife.org
Page 1. 1/5/17 1 Manuela M. Veloso Joint work Francesca Rossi, Stephanie Rosenthal, Sai Selvaraj, Vi orio Perera Machine Learning Department Computer Science Department Robo cs Ins tute School of Computer Science Carnegie Mellon University …

Extensions for Distributed Moving Base Driving Simulators
A Andersson – 2017 – books.google.com
Page 1. Linköping Studies in Science and Technology Licentiate Thesis No. 1777 Extensions for Distributed Moving Base Driving Simulators Anders Andersson Page 2. Linköping Studies in Science and Technology Licentiate Thesis No …

A User Perception–Based Approach to Create Smiling Embodied Conversational Agents
M Ochs, C Pelachaud, G Mckeown – ACM Transactions on Interactive …, 2017 – dl.acm.org
Page 1. 4 A User Perception–Based Approach to Create Smiling Embodied Conversational Agents MAGALIE OCHS, Aix Marseille Université, CNRS, ENSAM, Université de Toulon, LSIS, Marseille, France CATHERINE PELACHAUD …

Facial expressions and speech acts: experimental evidences on the role of the upper face as an illocutionary force indicating device in language comprehension
F Domaneschi, M Passarelli, C Chiorri – Cognitive processing, 2017 – Springer
… Speech acts. How language represents the world has long been a major concern in the investigation of natural language. Making statements that describe states of affairs is a paradigmatic use of language, but there are other sorts of things that we can do with words …

A Serious Games Platform for Cognitive Rehabilitation with Preliminary Evaluation
PA Rego, R Rocha, BM Faria, LP Reis… – Journal of medical …, 2017 – Springer
… noisy environments. For that purpose, technological advances have focused on improving the accuracy and the ability and the ability of systems to give meaning to the words in the natural language of human [56]. The voice …

A multi-agent framework to support user-aware conversational agents In an e-learning environment
M Procter – 2017 – dt.athabascau.ca
… be used as a basis for the research in this thesis. Conversational agents may employ natural language processing techniques to … An important outcome will be the development of a framework for a multi-agent system based on intelligent, autonomous agents to model both …

How a Minimally Designed Robot can Help Implicitly Maintain the Communication Protocol
K Youssef, M Okada – International Journal of Social Robotics, 2017 – Springer
… as well as related error handling that is integrated in spoken dialog systems [21]. Error handling through the usage of spoken speech may cause lexical or conceptual difficulties and the robot may not be able to cope with the complexity and vagueness of natural language [22] …

Finding enthymemes in real-world texts: A feasibility study
O Razuvayevskaya, S Teufel – Argument & Computation, 2017 – content.iospress.com
… [2]. E. Black and A. Hunter, Using enthymemes in an inquiry dialogue system, International Foundation for Autonomous Agents and Multiagent … discourse, in: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP …

DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self
C Moulin-Frier, T Fischer, M Petit… – … on Cognitive and …, 2017 – ieeexplore.ieee.org
… The method in [76] takes user preferences into account when referring to past interactions. Similarly to our framework, it is based on the implementation and cooperation between both episodic and semantic memories with a dialog system …

Modelling Engagement in Multi-Party Conversations
C Oertel – KTH, Stockholm, Sweden, 2017 – pdfs.semanticscholar.org
… Weilhammer, K., Oertel, C., Siegemund, R., Sá, R., Batliner, A., Hönig, F., & Nöth, E. (2009). A Spoken Dialog System for Learners of English. Paper presented at the International Workshop on Speech and Language Technology in Education, University of Birmingham, UK …

p. p1 {margin: 0.0 px 0.0 px 0.0 px 0.0 px; font: 24.0 px Helvetica} Social robots powered by IBM Watson as a support for children with health problems
I Kabir, K Kindvall – 2017 – diva-portal.org
… the engagement. An initial prototype that used Watson’s natural language processing and Pepper, was developed based on user requirements gathered through interviews using a User Centered Design methodology. The prototype …

Automatic question generation for virtual humans
EL Fasya – 2017 – essay.utwente.nl
… tual representation by the Speech Recognition module. The text is then translated into semantic representation by the Natural Language Understanding module. This process is similar to the spoken dialogue system’s process except that the human user’s expression and …

Recognising enthymemes in real-world texts: A feasibility study
O Razuvayevskaya, S TEUFEL – Patrick Saint-Dizier, 2017 – ling.uni-potsdam.de
… Y does not have P Let alone seems to be one of the signals of such a fortiori inferences in natural language … [4] E. Black and A. Hunter, Using enthymemes in an inquiry dialogue system, vol. 1, pp … International Foundation for Autonomous Agents and Multiagent Systems, 2008 …

Theory and Applications of Models of Computation
TV Gopal, G Jäger, S Steila – 2017 – Springer
… XVII Page 18. Natural Language Processing, Moving from Rules to Data Carlos Martín-Vide … Abstract. During the last decade, we assist to a major change in the direction that theoretical models used in natural language processing follow …

Design and development of a cognitive assistant for the architecting of earth observing satellites
A Virós Martin – 2017 – upcommons.upc.edu
… Most CA send and receive information to/from the user by means of natural language, either through a voice or text-based interface. Some of them also can take image … More recently, as voice recognition software and natural language processing have advanced 5 Page 17 …

Schedule Highlights
P Sturm – Machine Learning, 2017 – pdfs.semanticscholar.org
… Every day, millions of people use natural-language interfaces such as Siri, Google Now, Cortana, Alexa, Facebook M and … Research community challenge tasks are proliferating, including the sixth Dialog Systems Technology Challenge (DSTC6), the Amazon Alexa prize, and …

Multi-task learning from demonstration via embedded network
R Zhou, G Yiming, F He, Z Zhang – Mechatronics and Machine …, 2017 – ieeexplore.ieee.org
… Making in a Self- Organizing Robot Swarm: On the Speed Versus Accuracy Trade-Off[C]// International Conference on Autonomous Agents and Multiagent Sys … Semantically Conditioned LSTM- based Natural Language Generation for Spoken Dialogue Systems[J]. Computer …

Historical overview of formal argumentation
H Prakken – IfCoLog Journal of Logics and their Applications, 2017 – dspace.library.uu.nl
… winning strategy for the proponent. This predates modern argument games for argumentation-based inference and also influenced the devel- opment of formal dialogue systems for argumentation. Having said so, in dialogue …

Argumentation Theory in Formal and Computational Perspective
FH van Eemeren, B Verheij – ai.rug.nl
… 1Relevant journals include: Artificial Intelligence, Artificial Intelligence and Law, Autonomous Agents and Multi-Agent Systems, Computational Intelligence, International Journal of Cooperative Information Systems, International Journal of Human-Computer Studies, Journal of …

Advances in Swarm Intelligence: 8th International Conference, ICSI 2017, Fukuoka, Japan, July 27–August 1, 2017, Proceedings
Y Tan, H Takagi, Y Shi – 2017 – books.google.com
Page 1. Ying Tan Hideyuki Takagi Yuhui Shi (Eds.) Advances in Swarm Intelligence 8th International Conference, ICSI 2017 Fukuoka, Japan, July 27 – August 1, 2017 Proceedings, Part I 123 Page 2. Lecture Notes in Computer …

Explanation in artificial intelligence: Insights from the social sciences
T Miller – arXiv preprint arXiv:1706.07269, 2017 – arxiv.org
… Applications of explanation are considered in many sub-fields of artificial intelligence, such as justifying autonomous agent behaviour [97, 40], debugging … 2Note that this does not imply that explanations must be given in natural language, but implies that explanation is a social …

3.28 Qualitative and Multi-Attribute Learning from Diverse Data Collections
M Ben-Chen, F Chazal, LJ Guibas… – … in Geometric Data, 2017 – drops.dagstuhl.de
Page 19. Mirela Ben-Chen, Frédéric Chazal, Leonidas J. Guibas, and Maks Ovsjanikov 17 3.28 Qualitative and Multi-Attribute Learning from Diverse Data Collections Hao Zhang (Simon Fraser University–Burnaby, CA) License …

Computing Bodies: Gender Codes and Anthropomorphic Design at the Human-computer Interface
C Draude – 2017 – Springer
… See: http://www.iut.univ-paris8.fr/~pelachaud, checked on 04/01/2013. 12 AMAAS: International Conference on Autonomous Agents and Multiagent Systems, June 2005, Utrecht. 13 See Magnenat-Thalmann (2004), Pelachaud et al. (2002), Lee et al …

Foundations of Implementations for Formal Argumentation
F Cerutti, SA Gaggl, M Thimm, JP Wallner – orca-mwe.cf.ac.uk
Page 1. Foundations of Implementations for Formal Argumentation Federico Cerutti Cardiff University, UK CeruttiF@cardiff.ac.uk Sarah A. Gaggl Technische Universität Dresden, Germany sarah.gaggl@tu-dresden.de Matthias …

Deep Learning for Distant Speech Recognition
M Ravanelli – arXiv preprint arXiv:1712.06086, 2017 – arxiv.org
… ors in black and white photos, cancer detection, handwriting recognition, video classification), machine translation, as well as in natural language processing (for dialogue systems, question answering, image captioning, automatic writing) and speech recognition [297] …

Information Technology and the US Workforce: Where Are We and Where Do We Go from Here?
National Academies of Sciences, Engineering, and … – 2017 – books.google.com
… future purposes. For example, such techniques have been used to pre- dict patient responses to medical treatment based on historical medical records and to process human (or “natural”) language in useful ways. A particular …

Generating variations in a virtual storyteller
SM Lukin – 2017 – search.proquest.com
… Copyright c. [circlecopyrt] by. Stephanie M. Lukin 2017. Contents. List of Figures vi List of Tables viii Abstract x Dedication xi Acknowledgments xii 1 Introduction 12 Previous Work 17. 2.1 Natural Language Generation … 25. 2.2 Narrative and Dialogue Systems …

Using Gross’ Emotion Regulation Theory to Advance Affective Computing
L Oostveen – 2017 – dspace.library.uu.nl
Page 1. MASTER ARTIFICAL INTELLIGENCE, UTRECHT UNIVERSITY MASTER THESIS Using Gross’ Emotion Regulation Theory to Advance Affective Computing Author: Lucy VAN OOSTVEEN First Supervisor: prof. dr. John-Jules MEYER Second Examiner: dr …

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