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Achieving artificial general intelligence through peewee granularity
KR Thórisson, E Nivel – … Conference on Artificial General Intelligence, 2009 – media.mit.edu
… systems – architectures with very small-grain components – and why we see this as a promising direction for artificial general intelligence … used to build several relatively large systems including a multimodal realtime interactive character, a realtime dialogue system [2] and a …
Syntax-semantic mapping for general intelligence: language comprehension as hypergraph homomorphism, language generation as constraint satisfaction
R Lian, B Goertzel, S Ke, J O’Neill, K Sadeghi… – … General Intelligence, 2012 – Springer
… Routes to extending this prototype into something useful for aiding gen- erally intelligent dialogue systems are discussed. 1 Introduction … References 1. Adams, S., Goertzel, B., et al.: Toward a roadmap toward human-level artificial general intelligence (2010) (subm …
Engineering General Intelligence, Part 1
B Goertzel, C Pennachin, N Geisweiller – Atlantis Thinking Machines, 2014 – Springer
… genius. Part 1 set the stage, dealing with a variety of general conceptual issues related to the engineering of advanced AGI, as well as presenting a brief overview of the CogPrime design for Artificial General Intelligence. Now …
Turing test as a defining feature of AI-completeness
RV Yampolskiy – Artificial intelligence, evolutionary computing and …, 2013 – Springer
… In: The Third Conference on Artificial General Intelligence, Lugano, Switzerland, March 5-8 (2010) [12] Dennett, DC: Why You Can’t … Assistants 28(2) (2007) [19] Horvitz, E., Paek, T.: Complementary Computing: Policies for Transferring Callers from Dialog Systems to Human …
A modular system oriented to the design of versatile knowledge bases for chatbots
G Pilato, A Augello, S Gaglio – ISRN Artificial Intelligence, 2012 – downloads.hindawi.com
… Research on intelligent systems in last years has been char- acterized by the growth of the Artificial General Intelligence (AGI) paradigm [1]. This … The simplest way to implement a conversational agent is to use chatbots [4], which are dialogue systems based on a pattern …
Evaluating multimodal human-robot interaction: A case study of an early humanoid prototype
GK Jonsson, KR Thorisson – … of the 7th international conference on …, 2010 – dl.acm.org
… on 8 networked workstations; more recent incarnations of Yrnir have been used in increasingly complex dialogue systems [4] and … Noort, MWML, Cannas, SA, Bosch, MPC, Jonsson, GK, & Magnusson, MS The missing neurocognitive and arti?cial general intelligence bases of …
AI-Complete, AI-Hard, or AI-Easy-Classification of Problems in AI.
RV Yampolskiy – MAICS, 2012 – academia.edu
… A Theoretical Framework to Formalize AGI- Hard Problems. Paper presented at The Third Conference on Artificial General Intelligence, Lugano, Switzerland … Complementary Computing: Policies for Transferring Callers from Dialog Systems to Human Receptionists …
Cognitive architectures and autonomy: A comparative review
K Thórisson, H Helgasson – Journal of Artificial General Intelligence, 2012 – degruyter.com
… The selection has also been made partly with the aim of highlighting issues that we consider key for the development of artificial general intelligence (AGI), but that have been largely … Ng-Thow-Hing et al., 2009) and dialogue systems with human-like adaptive capabilities (cf …
A modular architecture for adaptive chatbots
G Pilato, A Augello, S Gaglio – Semantic Computing (ICSC) …, 2011 – ieeexplore.ieee.org
… [1] B. Goertzel and C. Pennachin, Artificial General Intelligence (Cognitive Technologies) … [7] S. Larsson, “Dialogue systems: Simulations or interfaces?” in In Gardent and Gaiffe (eds.): Proceedings of the ninth workshop on the semantics and pragmatics of dialogue, 2005 …
Context and Learning based Approach to Programming of Intelligent Equipment
AV Gavrilov – … Systems Design and Applications, 2008. ISDA’08 …, 2008 – ieeexplore.ieee.org
… 249-259. [8] AV Gavrilov, “Dialog system for preparing of programs for robot”, Automatyka, vol.99, Glivice, Poland, 1988, pp.173-180 (in Russian) … 587-590. [14] B. Goertzel and C. Pennachin, Artificial General Intelligence, Springer-Verlag, Berlin, Heidelberg, 2007. 582
AI safety engineering through introduction of self-reference into felicific calculus via artificial pain and pleasure
AM Majot, RV Yampolskiy – Proceedings of the IEEE 2014 International …, 2014 – dl.acm.org
… [2] R. Yampolskiy and J. Fox, “Safety Engineering for Artificial General Intelligence,” Topoi, pp. 1-10, 2012 … [12] C. Zoraida, G. David, and L.-C. Ramón, “Predicting User Mental States in Spoken Dialogue Systems,” EURASIP Journal on Advances in Signal Processing, vol …
Fusing Symbolic and Decision-Theoretic Problem Solving+ Perception in a Graphical Cognitive Architecture.
J Chen, A Demski, T Han, LP Morency, DV Pynadath… – BICA, 2011 – hantw.com
… References [1] JE Laird. Extending the Soar cognitive architecture. In Artificial General Intelligence 2008: Proceedings of the First AGI Conference, Memphis, Tennessee, March 2008. IOS Press … In Proceedings of the AI-ED 2001 Workshop on Tutorial Dialogue Systems, 2001 …
Combining Self-motivation with Logical Planning and Inference in a Reward-seeking Agent.
D Liu, LK Schubert – ICAART (2), 2010 – pdfs.semanticscholar.org
… Table 1: Domain-independent Capabilities [column – ME agent, DS: dialog systems, GDP: goal-directed planners, RLA: RL agents, CVR: cognitive (virtual) robots, GA: game agents] … In Proceedings of the 2nd Conference on Artificial General Intelligence (AGI 2009). 10 Page 11 …
Parlai: A dialog research software platform
AH Miller, W Feng, A Fisch, J Lu, D Batra… – arXiv preprint arXiv …, 2017 – arxiv.org
… CommAI7 is a framework that uses textual com- munication for the goal of developing artificial general intelligence through incremental tasks that test increasingly more … 2015. The ubuntu dialogue corpus: A large dataset for re- search in unstructured multi-turn dialogue systems …
A computational approach for analyzing and detecting emotions in Arabic text
AF El Gohary, TI Sultan, MA Hana… – International Journal of …, 2013 – researchgate.net
… blogs that express specific emotions towards the topic of interest, identifying what emotions a newspaper headline evoke, and create automatic dialogue systems that respond … AGI Workshop Advances in Artificial General Intelligence: Concepts, Architectures and Algorithms, pp …
Towards Situated, Interactive, Instructable Agents in a Cognitive Architecture.
S Mohan, JE Laird – AAAI Fall Symposium: Advances in Cognitive Systems, 2011 – aaai.org
… The Interaction Problem How to communicate while act- ing in the environment? How to maintain a dialog? We are interested in agents that are more than a dialog system, we are looking at agents that can maintain a dialog as they act and learn in the environment …
Hybrid intelligent systems in ubiquitous computing
AV Gavrilov – Computer Engineering: Concepts, Methodologies …, 2012 – igi-global.com
… expert systems in different areas (Medsker & Bailey, 1992; Funabashi, Maeda, Morooka, Mori, 1995), control systems for mobile robots (Wermter & Ron Sun 2000; Gavrilov, Gubarev, Jo & Lee, 2004), core technology for development of artificial general intelligence and model of …
Toward a situation model in a cognitive architecture
SM Rodgers, CW Myers, J Ball, MD Freiman – Computational and …, 2013 – Springer
The ability to coherently represent information that is situationally relevant is vitally important to perform any complex task, especially when that task involves coordinating with team members. This.
Straight thinking straight from the net-on the web-based intelligent talking toy development
R Rzepka, S Higuchi, M Ptaszynski… – Systems, Man and …, 2008 – ieeexplore.ieee.org
… Hard Problem of Consciousness Proceedings of AGI-08 Workshop on the Sociocultural, Ethical and Futurological Implications of Artificial General Intelligence … Dialog System Using Modality and Associations Retrieved From The Web (in Japanese) Proceeedings of the NLP’08 …
First ideas on the use of affective cues in an empathic computer-based companion
N Bee, E André, T Vogt, P Gebhard – … of the 8th International Conference on …, 2009 – Citeseer
… In Proceedings of the First Conference on Artificial General Intelligence (AGI-08), 2008. [4] P. Ekman and W. Friesen. Unmasking the Face … In In Proceedings Tutorial and Research Workshop on Affective Dialogue Systems, LNAI 3068, pages 53–64, 2004. [19] M. Sagar …
The use of affective and attentive cues in an empathic computer-based companion
N Bee, E Andre, T Vogt, P Gebhard – Close Engagements with …, 2010 – researchgate.net
… Toward Logic-Based Cognitively Robust Synthetic Characters in Digital Environments. Proceedings of the First Conference on Artificial General Intelligence (AGI-08) … In Proceedings Tutorial and Research Workshop on Affective Dialogue Systems, LNAI 3068, (pp. 53-64) …
Knowledgeable talking robots
LC Aiello, E Bastianelli, L Iocchi, D Nardi… – … General Intelligence, 2013 – Springer
… 336–340. IEEE (2007) 11. Nisimura, R., Uchida, T., Lee, A., Saruwatari, H., Shikano, K., Matsumoto, Y.: Aska: receptionist robot with speech dialogue system. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, vol. 2, pp. 1314–1319 (2002) 12 …
A cognitive-affective architecture for ECAs
J Pérez, E Cerezo, FJ Serón, LF Rodríguez – Biologically Inspired Cognitive …, 2016 – Elsevier
Skip to main content …
Context search algorithm for lexical knowledge acquisition
J Szyma?ski, W Duch – Control and Cybernetics, 2012 – infona.pl
… Natural language computer interfaces and control systems, dialog systems, information retrieval and question answering systems are still at quite a … Thus, our approach is aimed at achieving artificial general intelligence (Voss, 2007), rather than creating specialized solu- tions to …
From here to AGI: A roadmap to the realization of human-level artificial general intelligence
B Goertzel, G Yu – Neural Networks (IJCNN), 2014 International …, 2014 – ieeexplore.ieee.org
… Dialogue System Dialogue about objects , events and goals in the game world, involving complex sen- tences with multiple clauses Genomic … M. Ikle’, and J. Wigmore, “The architecture of human-like general intelligence,” in Foundations of Artificial General Intelligence, 2012 …
Conversational bootstrapping and other tricks of a concierge robot
S Guo, J Lenchner, J Connell, M Dholakia… – Proceedings of the 2017 …, 2017 – dl.acm.org
… The system has been completely implemented and demonstrated using the SoftBank Robotics [34] humanoid robots Pepper and NAO, and the telepresence robot known as Double from Double Robotics[4]. Keywords Spoken dialog systems; text classification; online learning …
How limited is the Limit?
P Mondal – Proceedings of the International Conference RANLP …, 2009 – aclweb.org
… In addition, parallel progress has been made in machine translation systems and spoken dialog systems as well [11], [12], [13] … In Proceedings of the First Conference on Artificial General Intelligence, University of Memphis, 2008. [9] Mark G. Core and Johanna D. Moore …
Robust spoken language understanding for house service robots
A Vanzo, D Croce, E Bastianelli, R Basili, D Nardi – Polibits, 2016 – scielo.org.mx
… S. Narayanan, “A reranking approach for recognition and classification of speech input in conversational dialogue systems,” in Spoken … Bastianelli, L. Iocchi, D. Nardi, V. Perera, and G. Randelli, “Knowledgeable talking robots,” in Artificial General Intelligence – 6th International …
A broad vision for intelligent behavior: Perpetual real-world cognitive agents
D Perlis, MT Cox, M Maynord – 2013 Annual Conference on …, 2013 – drum.lib.umd.edu
… Because we want our agents to engage with humans, we describe our experience with a dialog system based on active … in various ways resulting in theories of human-level intelligence (Cassimatis, 2012; Cassimatis & Winston, 2004) and artificial general intelligence (Wang & …
Applying Artificial Intelligence in CRM: Case Studies of Intelligent Virtual Agents and Pegasystems
TF Chen – Applied Mechanics and Materials, 2012 – Trans Tech Publ
… Strong AI is also referred to as “artificial general intelligence”[30] or as the ability to perform “general intelligent action” … Such an assistant may basically consist of a dialog system, an avatar, as well an expert system to provide specific expertise to the user [20] …
Development of computational models of emotions for autonomous agents: a review
LF Rodríguez, F Ramos – Cognitive Computation, 2014 – Springer
It has been recognized that human behavior is an observable consequence of the interactions between cognitive and affective functions. This perception has motivated the study of human emotions in disc.
Advancing ambient assisted living with caution
C Huyck, J Augusto, X Gao, JA Botía – … Technologies for Ageing Well and e …, 2015 – Springer
… While the authors of this chapter feel that it is unlikely that an Artificial General Intelligence (AGI) will be created by 2045 [5, 6], we feel that considerations to prevent problems … A dialogue system will be able interact with the future user to decide when and which medication to take …
Limiting context by using the web to minimize conceptual jump size
R Rzepka, K Muramoto, K Araki – Algorithmic Probability and Friends …, 2013 – Springer
… We think that with help of the algorithm community, language engineers could be- come very helpful for realizing Artificial General Intelligence … We introduced algorithms (dialog system and concept generators) where the training process is made by the WWW instead of hu …
Developing embodied multisensory dialogue agents
MB Paradowski – arXiv preprint arXiv:1111.7190, 2011 – arxiv.org
… approach just outlined above works to some extent in statistical machine translation, automatic text indexing and retrieval (think eg search engines), natural-language interfaces or dialogue systems, but if … Artificial General Intelligence 2008, Amsterdam : IOS Press, 87–98 (2008 …
Improvement in service robot’s interaction through case based reasoning
C Roncancio, JL Rodríguez… – Neural Networks (IJCNN) …, 2010 – ieeexplore.ieee.org
… System. CBR works both as a design architecture and as a tool for adapting the system to new unseen phrases. The result is a dialog system that is able to deal with phrases that have not been stored beforehand in the system. The …
Parsing PCFG within a general probabilistic inference framework
A Murugesan, NL Cassimatis – Proc. AGI, 2009 – agi-conf.org
… Abstract One of the aims of Artificial General Intelligence(AGI) is to use the same methods to reason over a large num- ber of problems spanning different domains … Mixed-Initiative Dialogue Systems for Collaborative Problem-Solving. AI Magazine 28(2):23-32 …
Treating Unexpected Input in Incremental Semantic Analysis
M McShane, K Blissett, I Nirenburg – … of The Fifth Annual Conference on …, 2017 – cogsys.org
Page 1. Advances in Cognitive Systems 2017 © 2017 Cognitive Systems Foundation. All rights reserved. Treating Unexpected Input in Incremental Semantic Analysis Marjorie McShane MARGEMC34@GMAIL.COM Kevin Blissett KEVINPBLISSETT@GMAIL.COM …
A review of 40 years of cognitive architecture research: focus on perception, attention, learning and applications
I Kotseruba, OJA Gonzalez, JK Tsotsos – CoRR abs/1610.08602, 2016 – researchgate.net
… Unsurprisingly, Artificial General Intelligence (AGI) is currently pursued by only a handful of architectures, among which are Soar, ACT-R, NARS [9], LIDA [10], and several recent projects, such as SiMA [11] and OpenCogPrime [12] …
Open-domain neural conversational agents: The step towards artificial general intelligence
S Arsovski, S Wong, AD Cheok – International Journal of …, 2018 – openaccess.city.ac.uk
… neural conversational agent research and future research directions towards Artificial General Intelligence (AGI) creation. In order to create a conversational agent which is able to pass the Turing Test, numerous research efforts are focused on open-domain dialogue system …
The Turing Test and Android Science
G Marzano – J Robotics Autom, 2018 – researchgate.net
… In: Proceedings of the international joint conference on arti- ficial intelligence 5th workshop on knowledge and reasoning in practical dialogue systems, 15-21. 14 … 25. Goertzel B (2014) Artificial general intelligence: Concept, state of the art, and future prospects …
Conscious vs. Unaware Evaluation––Using Collective Intelligence for an Automatic Evaluation of Acts
R Rzepka, K Araki – researchgate.net
… Before any working alternatives are proposed, we utilize natural lan- guage processing for automatic knowledge retrieval which is often helpful for simulating human-like estimation of in- telligence in our dialog systems … Artificial General Intelligence, volume 2. Springer, 2007 …
A Cognitive Architecture Consisting of Human Intelligence Factors
R Ichise – Procedia Computer Science, 2018 – Elsevier
… Recently, the use of dialogue systems in virtual worlds has also been discussed [5]. Since our proposed architecture has mechanisms … In Pei Wang and Ben Goertzel, editors, Theoretical Foundations of Artificial General Intelligence, Atlantis Thinking Machines, pages 103–121 …
The Age of Artificial Emotional Intelligence
D Schuller, BW Schuller – Computer, 2018 – ieeexplore.ieee.org
… and guide our attention, helping with decision making.4,5 Finally, emotions play a key role in communication, which is still broadly neglected in spo- ken dialog systems or general human– computer or human–robot interaction …
Calls for Papers
TR Besold, KU Kühnberger – Springer
… vague notions could be used. Emotional or affective computing has drawn a strong interest in various fields from speech synthesis and dialogue systems to virtual re- ality and robotics. Moreover, gamification, serious games …
Context Search Algorithm for Lexical Knowledge Acquisition
W Duch, J Szyma?ski – 2012 – repozytorium.umk.pl
… Natural language computer interfaces and control systems, dialog systems, information retrieval and question answering systems are still at … Thus our approach is aimed at achieving artificial general intelligence (Voss, 2005), rather than creating specialized solutions to different …
AIA. Artificial intelligence for art
R Lisek – Editorial Coordinators: Rufus Adebayo, Ismail Farouk …, 2018 – researchgate.net
… Artificial general intelligence (AGI) describes research that aims to create machines capable of general intelligent action.” General” means that … FULL PAPERS/Hybridization and Purity Proceedings of the 24th International Symposium on Electronic Art Dialogue Systems: A Data …
Importance of Contextual Knowledge in Artificial Moral Agents Development
R Rzepka, K Araki – 2018 – researchgate.net
… Not dealing with this problem might end with a dialog system stating that woman’s place is in the kitchen, all grandmothers … In Everitt, T.; Goertzel, B.; and Potapov, A., eds., Artificial General Intelligence – 10th International Conference, AGI 2017, Melbourne, VIC, Australia, August …
From Specialized Syntax to General Logic: The Case of Comparatives
R Lian, R Solomon, A Belayneh, B Goertzel… – … General Intelligence, 2015 – Springer
… OpenCog is a high level cognitive architecture aimed at exploration of ideas regarding human-level Artificial General Intelligence, in par- ticular the … work remains before we have a generally robust compre- hension system capable for use in a wide variety fo dialogue systems …
Conversational Agents Embodying a Character Using Neural Networks
M Ilie, T Rebedea – rochi.utcluj.ro
… In an open dialogue system, there isn’t a well-defined purpose or intention for the conversation, therefore the user can drive the conversation on any topic he/she wants. This is closely related to Artificial General Intelligence [2] since the amount of knowledge and the number of …
Introduction to NIPS 2017 Competition Track
S Escalera, M Weimer, M Burtsev, V Malykh… – The NIPS’17 …, 2018 – Springer
… Intelligence Challenge was a successful attempt to test the ground for a large scale dialogue system competition with … The competition began in 2017 with 148 teams competing to solve problems in sustainability, robotics, artificial general intelligence, healthcare, education, and …
Robots on stage: A cognitive framework for socially interacting robots
I Rodriguez, A Astigarraga, E Lazkano… – Biologically Inspired …, 2018 – Elsevier
… Fig. 3 shows the architecture of our dialogue system that incorporates an Automatic Speech Recognizer (ASR), Language Interpreter, Dialogue Manager, Response Selector, Text Generator, Speech Synthesizer (TTS) and the Singing Synthesizer (TTSKantari) …
AI-Complete, AI-Hard, or AI-Easy: Classification of Problems in Artificial
RV Yampolskiy – 2011 – researchgate.net
… and AJO Cruz, A Theoretical Framework to Formalize AGI-Hard Problems, The Third Conference on Artificial General Intelligence, Lugano, Switzerland … [16] E. Horvitz and T. Paek, Complementary Computing: Policies for Transferring Callers from Dialog Systems to Human …
Representing Syntactic-Semantic Knowledge from English Texts
R Guidry Jr, J Chen – … on the International Conference on Artificial …, 2014 – world-comp.org
… 5 Reference [1] James Allen, George Ferguson, Bradford W. Miller, Eric K. Ringger, and Teresa Sikorski Zollo. Dialogue systems: From theory to practice in TRAINS96 … Proceedings of 5th International Conference on Artificial General Intelligence, Oxford, UK, Dec. 2012 …
Bootstrap Dialog: A Conversational English Text Parsing and Generation System
SL Reed – Artificial General Intelligence, 2008 – Citeseer
… Construction Grammar is well suited for a precise and robust dialog system due to its emphasis on pairing utterance form with exact … simulates a child’s mind, and then to subject it to an appropriate course of education thus achieving an artificial general intelligence capable of …
The following abbreviations are used for frequently cited conferences and journals: AAAI Proceedings of the AAAI Conference on Artificial Intelligence
AIJA Intelligence – IEEE Intelligent Systems, 2009 – cs.berkeley.edu
Aarup, M., Arentoft, MM, Parrod, Y., Stader, J., and Stokes, I. (1994). OPTIMUM-AIV: A knowledge-based planning and scheduling system for spacecraft AIV. In Fox, M. and Zweben, M. (Eds.), Knowledge Based Scheduling. Morgan Kauf- mann. Abney, S. (2007). Semisupervised …
A Concise Introduction to Reinforcement Learning
A Hammoudeh – researchgate.net
… Fig. 7 Typical pipeline of task oriented dialogue systems [93] … [37] HR Maei and RS Sutton, “GQ( ): A general gradient algorithm for temporal-difference prediction learning with eligibility traces,” in Proceedings of the 3d Conference on Artificial General Intelligence (AGI-10), 2010 …
Epilogue: Frontiers of NLP in the Deep Learning Era
L Deng, Y Liu – Deep Learning in Natural Language Processing, 2018 – Springer
… 3. To this date, the majority of dialogue systems under deployment in industry are not based on deep learning despite its … to bridge the gap between general algorithms and ways of implementing deep learning, but also a path toward artificial general intelligence where symbolic …
Context based Programming-Learning of Robots
AV Gavrilov – 6th International Conference on Ubiquitous Robots …, 2009 – researchgate.net
… 9, November, 2005. [9] AV Gavrilov, “Dialog system for preparing of programs for robot,” Automatyka, vol.99, Glivice, Poland, pp … Springer, pp. 47-52, 2007. [22] AV Gavrilov, “Emotions and a priori Knowledge Representation in Artificial General Intelligence,” In Proc. of Int. Conf …
PersuAIDE! An Adaptive Persuasive Text Generation System for Fashion Domain
V Munigala, A Mishra, SG Tamilselvam… – Companion of the The …, 2018 – dl.acm.org
… While their work is a pioneering work in negotiations, their ut- terances are limited and are focused towards reaching consensus rather than persuading the other agent based on catchy expres- sions. Moreover, since it is fundamentally a dialog system, it gets …
Cognitive Architectures on Discourse
M Iza – Conference on Biomimetic and Biohybrid Systems, 2018 – Springer
… Callejas, Z., Griol, D., López-Cózar, R., Espejo, G., Abalos, N.: Merging intention and emotion to develop adaptive dialogue systems … doi.org/10.1007/978-1-84996-423-4_6CrossRefGoogle Scholar. Oltramari, A., Lebiere, C.: Pursuing artificial general intelligence by leveraging …
Evaluating an ECA with a Cognitive-Affective Architecture
J Pérez, E Cerezo, J Gallardo, FJ Serón – Proceedings of the XIX …, 2018 – dl.acm.org
… Simulating the emotion dynamics of a multimodal conversational agent. In Tutorial and Research Workshop on Affective Dialogue Systems, pages 154–165. Springer … Journal of Artificial General Intelligence. 49. Sansonnet, J.-P., Leray, D., and Martin, J.-C. (2006) …
Equipping Companions with Theory of Mind
G Sieber – ofai.at
… Second, the interaction with companionable dialog systems will become more natural and efficient when human ToM capabilities are taken … In Proceeding of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference, pages 137-148 …
ARISHA: Design and Implementation of a Cognitive Conversational Agent
H Shafqat, M Arif, H Arshad – 2018 – 210.56.20.183
… 9 of 35 19 June 2018 1 Chapter 1: Introduction 1.1 Introduction The goal of artificial general intelligence is to achieve computationally compatible human-like intelligence … Unlike objective situated dialog systems, do not have any specific objective that aides the cooperation …
Comparison of technical filter mechanisms and defense mechanisms of the human mind
F Gelbard, C Brandstätter, K Doblhammer… – AFRICON …, 2011 – ieeexplore.ieee.org
… [12] B. Goertzel, Opencogprime: A cognitive synergy based architecture for artificial general intelligence, Proceedings of the … the emotion dynamics of a multimodal conversational agent, In Proceedings Tutorial and Research Workshop on Affective Dialogue Systems (ADS-04 …
Artificial superintelligence: a futuristic approach
RV Yampolskiy – 2015 – books.google.com
… REFERENCES 129 Chapter 7 ? Superintelligence Safety Engineering 135 7.1 ETHICS AND INTELLIGENT SYSTEMS 135 7.2 ARTIFICIAL INTELLIGENCE SAFETY ENGINEERING 136 7.3 GRAND CHALLENGE 138 7.4 ARTIFICIAL GENERAL INTELLIGENCE RESEARCH IS …
Jonathan Gratch
M Rendell – Psychology, 2012 – people.ict.usc.edu
… Conference on Artificial Intelligence (1997) International EMCSR Symposium on Affective Computational Entities (2004) IUI workshop on Affective Interactions (2005) Workshop on Human-like Intelligent Interfaces (2004) Workshop on Affective Dialogue Systems (2004) AAAI …
Graesser, AC, & McNamara, DS (in preparation). Automated Analysis of Essays and Open-ended Verbal Responses. In H. Cooper, AT Panter et al.(Eds.), APA …
AC Graesser – sites.google.com
Page 1. Automated Analyses 1 Running head: AUTOMATED ANALYSES OF VERBAL RESPONSES Automated Analysis of Essays and Open-ended Verbal Responses Arthur C. Graesser and Danielle S. McNamara University of Memphis …
A computational model for managing emotions and affections in emotional learning platforms and learning experience in emotional computing context
G Iovane, S Salerno, P Giordano… – … (CISIS), 2012 Sixth …, 2012 – ieeexplore.ieee.org
Page 1. A computational model for managing emotions and affections in emotional learning platforms and learning experience in emotional computing context Gerardo Iovane, Saverio Salerno DIEII/CRMPA – University of Salerno Salerno, Italy iovane,salerno}@unisa.it …
Policies On The Employment Of Lethal Autonomous Weapon Systems In Future Conflicts
TW Schroeder – 2016 – secnav.navy.mil
… ACTUV ASW Continuous Trail Unmanned Vessel AI Artificial Intelligence AGI Artificial General Intelligence ALIAS Aircrew Labor In-Cockpit Automation System AMAS Autonomous Mobility Appliqué System ANI Artificial Narrow Intelligence ASI Artificial Super Intelligence …
SingularityNET: A decentralized, open market and inter-network for AIs
B Goertzel, S Giacomelli, D Hanson, C Pennachin… – 2017 – icotokn.com
… SingularityNET aims to become the key protocol for networking AI and machine learning tools to form a coordinated Artificial General Intelligence … The OpenCog Foundation, stewards of OpenCog, the leading open-source Artificial General Intelligence platform …
Logical and relational learning
L De Raedt – 2008 – books.google.com
… German XX, 513 pages. 2006 W. Wahlster (Ed.) SmartKom: Foundations of Multimodal Dialogue Systems XVIII, 644 pages. 2006 B. Goertzel, C. Pennachin (Eds.) Artificial General Intelligence XVI, 509 pages. 2007 O. Stock …
Affect detection: An interdisciplinary review of models, methods, and their applications
RA Calvo, S D’Mello – IEEE Transactions on affective computing, 2010 – ieeexplore.ieee.org
Page 1. Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications Rafael A. Calvo, Senior Member, IEEE, and Sidney D’Mello, Member, IEEE Computer Society Abstract—This survey describes …
The synthetic teammate project
J Ball, C Myers, A Heiberg, NJ Cooke… – Computational and …, 2010 – Springer
… scale model of a complex task. In developing a large-scale model of multiple cognitive capacities, this research aligns with research aimed at the development of Artificial General Intelligence. However, most AI research adopts …
Vocal interactivity in-and-between humans, animals, and robots
RK Moore, R Marxer, S Thill – Frontiers in Robotics and AI, 2016 – frontiersin.org
Almost all animals exploit vocal signals for a range of ecologically-motivated purposes: detecting predators/prey and marking territory, expressing emotions, establishing social relations and sharing information. Whether it is a bird raising an alarm, a whale calling to potential partners …
Robust design and control of call centers with flexible IVR systems
B Behzad, T Tezcan – 2011 – papers.ssrn.com
… serve”. One of the main technologies developed for this purpose in call centers is the Interactive Voice Response (IVR) systems. These systems are also known as spoken dialogue systems, voice user interfaces or speech applications …
A cognitive neural architecture able to learn and communicate through natural language
B Golosio, A Cangelosi, O Gamotina, GL Masala – PloS one, 2015 – journals.plos.org
Communicative interactions involve a kind of procedural knowledge that is used by the human brain for processing verbal and nonverbal inputs and for language production. Although considerable work has been done on modeling human language abilities, it has been difficult …
Compositional Obverter Communication Learning From Raw Visual Input
E Choi, A Lazaridou, N de Freitas – arXiv preprint arXiv:1804.02341, 2018 – arxiv.org
… 1 INTRODUCTION One of the key requirements for artificial general intelligence (AGI) to thrive in the real world is its ability to communicate with humans in natural language … Building end-to-end dialogue systems using generative hierarchical neural network models …
Sequential modeling, generative recurrent neural networks, and their applications to audio
S Mehri – 2017 – papyrus.bib.umontreal.ca
… ii Page 3. Summary By far Deep Learning showed to be the most promising venue of achieving applied Artificial Intelligence which has been the dream of many as the path toward AI-powered future and eventually the Artificial General Intelligence …
Principles of Noology: Toward a Theory and Science of Intelligence
SB Ho – 2016 – books.google.com
… bodily manifestations of affect (facial expressions, posture, behavior, physiology), and affective interfaces and applications (dialogue systems, games, learning … This is reflected in the emergence of a field called artificial general intelligence (AGI), though ironically, AI, in its very …
40 years of cognitive architectures: core cognitive abilities and practical applications
I Kotseruba, JK Tsotsos – Artificial Intelligence Review, 2018 – Springer
… Unsurprisingly, the goal of achieving Artificial General Intelligence (AGI) is explicitly pursued by a small number of architectures, among which are Soar, ACT- R, NARS (Wang 2013), LIDA (Faghihi and Franklin 2012), and several recent projects, such as SiMA (formerly ARS …
Deep reinforcement learning: An overview
Y Li – arXiv preprint arXiv:1701.07274, 2017 – arxiv.org
… design (Zoph and Le, 2017), dual learning for machine translation (He et al., 2016a), spoken dialogue systems (Su et … the MIT Technology Review 10 Breakthrough Technologies in 2013 and 2017 respectively, will play their crucial role in achieving artificial general intelligence …
Multilingual extension and evaluation of a poetry generator
HG Oliveira, R Hervás, A Díaz… – Natural Language …, 2017 – cambridge.org
… N-gram- based language models have shown great applicability in many contexts – such as machine translation, speech processing, text prediction or dialog systems – and they present the important advantage of being language independent to a great extent …
Robust design and control of call centers with flexible interactive voice response systems
T Tezcan, B Behzad – Manufacturing & Service Operations …, 2012 – pubsonline.informs.org
… These systems are also known as spoken dialogue systems, voice user interfaces, or speech applications. An IVR system is the front end of a call center that is a com- puterized system enabling customers to interact with the company without the assistance of human agents …
Reinforcement Learning of Task Plans for Real Robot Systems
PTM Resende – 2014 – welcome.isr.tecnico.ulisboa.pt
Page 1. Reinforcement Learning of Task Plans for Real Robot Systems Pedro Tomás Mendes Resende Thesis to obtain the Master of Science Degree in Electrical and Computer Engineering Examination Committee Chairperson: Doctor Jo˜ao Fernando Cardoso Silva Sequeira …
Towards the Implementation of an Intelligent Software Agent for the Elderly
AHF Dinevari, A Hossein – 2017 – era.library.ualberta.ca
Page 1. Towards the Implementation of an Intelligent Software Agent for the Elderly by Amir Hossein Faghih Dinevari A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science Department of Computing Science University of Alberta …
Designing Regularizers and Architectures for Recurrent Neural Networks
D Krueger – 2016 – papyrus.bib.umontreal.ca
… AE Autoencoder AGI Artificial General Intelligence AI Artificial Intelligence ANN Artificial Neural Network … We define artificial intelligence as the study of intelligent behaviour 1. We distin- guish narrow AI from artificial general intelligence (AGI). Narrow AI is about solving …
Attentive Speaking. From Listener Feedback to Interactive Adaptation
H Buschmeier – 2018 – pub.uni-bielefeld.de
… Artificial conversational agents — such as spoken dialogue systems (McTear 2002), embodied conversational agents (Cassell et al … 1. AI-complete problems are, rather informally, defined as requiring an artificial general intelligence (‘the synthesis of a human-level intelligence …
Design and development of a cognitive assistant for the architecting of earth observing satellites
A Virós Martin – 2017 – upcommons.upc.edu
Page 1. DDC AAE OS by Antoni Virós Martin September 2017 Submitted to the faculty of the Barcelona School of Informatics (FIB) of Universitat Politècnica de Catalunya (UPC) – BarcelonaTech in Partial Fulfillment of the Requirements for the …
Deep Learning Based Chatbot Models
RK Csáky, G Recski – researchgate.net
… 26 3.3.2 Task-Oriented Dialog Systems … The first one is the more traditional task- oriented dialog system, which is limited in its conversational capabilities, however it is very robust at executing task specific commands and requirements …
Deep reinforcement learning in natural language scenarios
J He – 2017 – digital.lib.washington.edu
… Many artificial intelligence tasks involve sequential decision making and delayed rewards, such as video gaming, human-computer dialogue systems, newsfeed recommendation, and … computer or human-robot dialog systems, the agent needs to understand the dialog state …
Deep Semantic Learning for Conversational Agents
M Morisio, M Mensio – 2018 – researchgate.net
… Towards general AI The term Artificial General Intelligence, with its meaning of being able to perform tasks like humans, “involves the ability to reason, plan, solve problems, think abstractly, com- prehend complex ideas, learn quickly and learn from experience …
A review of 40 years of cognitive architecture research: Core cognitive abilities and practical applications
I Kotseruba, JK Tsotsos – arXiv preprint arXiv:1610.08602, 2016 – arxiv.org
… Unsur- prisingly, the goal of achieving Artificial General Intelligence (AGI) is explicitly pursued by a small number of architectures, among which are Soar, ACT-R, NARS [580], LIDA [150], and several recent projects, such as SiMA (formerly ARS) [469], Sigma [426] and …
Moral Cognition & Theory Of Mind
M Guarini, P Bello – frontiersinai.com
… LIDA is merely one example of how a system with artificial general intelligence (AGI) might solve the problem of prioritizing vast quantities of information and selecting the tasks to focus upon. Other AGI systems might prioritize in a different manner …
Deep Generative Models for Natural Language Processing
Y Miao – 2017 – ora.ox.ac.uk
… and teach the machine to learn from language by itself. Certainly, there is a long way to go before we have an artificial general intelligence agent learning from lan … Learning an end-to-end dialogue system is appealing but challenging because of insufficient …
Principles of Noology
SB Ho – Springer
… bodily manifestations of affect (facial expressions, posture, behavior, physiology), and affective interfaces and applications (dialogue systems, games, learning … This is reflected in the emergence of a field called artificial general intelligence (AGI), though ironically, AI, in its very …
User’s Gestural Exploration of Different Virtual Agents’ Expressive Profiles (Short Paper)
M Courgeon, JC Martin… – AAMAS’08 Proceedings …, 2008 – digitalcommons.fiu.edu
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