Qualitative Reasoning & Dialog Systems


See also:

Advanced Artificial IntelligenceAutomated Reasoning | Automated Reasoning & Dialog SystemsDiagnostic Expert Systems


Abductive theorem proving for analyzing student explanations to guide feedback in intelligent tutoring systems M Makatchev, PW Jordan, K VanLehn – Journal of Automated Reasoning, 2004 – Springer … Now that the context for building and using proofs is established, we will fo- cus solely on the details of how the abductive reasoner creates the proofs given propositional representations of a student’s essay as input. 3. Qualitative Reasoning in Mechanics … Cited by 31 Related articles All 14 versions Cite Save

A human-computer dialogue system for educational debate: A computational dialectics approach T Yuan, D Moore, A Grierson – International Journal of Artificial …, 2008 – IOS Press … All rights reserved 3 A Human-Computer Dialogue System for Educational … Abstract. This paper reports research concerning issues involved in adopting a computational dialectics approach to develop a human-computer dialogue system for educational debate. … Cited by 16 Related articles All 3 versions Cite Save

[BOOK] Intelligent Tutoring Systems: 7th International Conference, ITS 2004, Maceió, Alagoas, Brazil, August 30-September 3, 2004, Proceedings JC Lester, RM Vicari, F Paraguacu – 2004 – books.google.com … 432 I. Zipitria, JA Elorriaga, A. Arruarte, AD de Ilarraza Evaluation Evaluating the Effectiveness of a Tutorial Dialogue System for Self … the Student’s Evolution Through the Learning Process 864 U. Rueda, M. Larranaga, JA Elorriaga, A. Arruarte Qualitative Reasoning in Education … Cited by 12 Related articles All 2 versions Cite Save

Author in the loop: Using mixed-initiative planning to improve interactive narrative JM Thomas, RM Young – ICAPS 2006, 2006 – icaps06.icaps-conference.org … Their focus is on building a dialog system intermediary between the human plan author and group of back-end agents. … Qualitative Reasoning With DEF One motivation for DEF is to provide a general framework for elaborations of the plan author’s preferences for the objects and … Cited by 29 Related articles All 7 versions Cite Save More

EA NLU: Practical Language Understanding for Cognitive Modeling. E Tomai, KD Forbus – FLAIRS Conference, 2009 – aaai.org … Emmett Tomai and Kenneth D. Forbus Qualitative Reasoning Group, Northwestern University 2133 Sheridan Road, Evanston, IL, 60208, USA {etomai, forbus}@northwestern.edu … For example, most spokenYlanguage dialogue systems (cf. Allen et al. … Cited by 20 Related articles All 5 versions Cite Save

Annotation of tutorial dialogue goals for natural language generation JH Kim, R Freedman, M Glass, MW Evens – Discourse Processes, 2006 – Taylor & Francis … Communication was mediated by the messaging software Computer Dialogue System (CDS), which allows only one participant to type at a time until that partic- ipant relinquishes control to the other (Li, Seu, Evens, Michael, & Rovick, 1992). … Cited by 17 Related articles All 11 versions Cite Save

Intelligent vehicle systems: applications and new trends O Gusikhin, D Filev, N Rychtyckyj – Informatics in Control Automation and …, 2008 – Springer … and suppliers have been actively pursuing research and development of the next generation of in-vehicle intelligent dialog systems [22] [27]. … There has also been considerable work done to apply model-based systems and qualitative reasoning to support on-board diagnostics … Cited by 12 Related articles All 3 versions Cite Save

Modelling models of robot navigation using formal spatial ontology J Bateman, S Farrar – Spatial Cognition IV. Reasoning, Action, Interaction, 2005 – Springer Page 1. Modelling Models of Robot Navigation Using Formal Spatial Ontology * John Bateman and Scott Farrar University of Bremen, FB10, Sprach- und Literaturwissenschaften, Bibliothekstr. 1, Bremen 28359, Germany {bateman … Cited by 31 Related articles All 12 versions Cite Save

Qualitative modeling KD Forbus – Handbook of knowledge representation, 2008 – books.google.com … 9.1. 2 Overview of Basic Qualitative Reasoning To ground our subsequent discussion, we outline how fundamental steps in qualitative reasoning fit together to construct a description of possible behaviors. We use the three containers example, shown in Fig. … Cited by 22 Related articles All 13 versions Cite Save

Reasoning with qualitative positional information for domestic domains in the situation calculus S Schiffer, A Ferrein, G Lakemeyer – Journal of Intelligent & Robotic …, 2012 – Springer … Section 3 introduces the situation calculus, our high-level robot program- ming and plan language Readylog, and gives a brief introduction to fuzzy sets. In Section 4 we introduce our qualitative reasoning framework, formalizing fuzzy fluents, qualitative distance and orientation. … Cited by 8 Related articles All 14 versions Cite Save

Tutorial dialog in natural language AM Olney, AC Graesser, NK Person – Advances in Intelligent Tutoring …, 2010 – Springer Page 1. R. Nkambou et al. (Eds.): Advances in Intelligent Tutoring Systems, SCI 308, pp. 181–206. springerlink.com © Springer-Verlag Berlin Heidelberg 2010 Chapter 9 Tutorial Dialog in Natural Language Andrew M. Olney1, Arthur C. Graesser1, and Natalie K. Person2 … Cited by 11 Related articles All 6 versions Cite Save

Informal logic dialogue games in human-computer dialogue T Yuan, D Moore, C Reed… – Knowledge …, 2011 – Cambridge Univ Press … 5 Major barriers Thus far, we have shown that there is increasing evidence of the use of dialogue games within computer dialogue systems. … Without this link, it might be suggested, dialogue games will add nothing to currently available computer dialogue systems. … Cited by 12 Related articles All 7 versions Cite Save

Elicitation and Application of Narrative Constraints Through Mixed-Initiative Planning JM Thomas, RM Young – Proceedings of the ICAPS, 2006 – liquidnarrative.csc.ncsu.edu … Their focus is on building a dialog system intermediary between the human plan author and group of back- end agents … Qualitative Reasoning With DEF One motivation for DEF is to provide a general framework for elaborations of the plan author’s preferences for the objects and … Cited by 8 Related articles All 6 versions Cite Save More

Croatian speech technologies I Ipsic, M Matetic, S Martincic-Ipsic, A Mestrovic… – ELMAR, …, 2007 – ieeexplore.ieee.org … Qualitative Reasoning Workshop, Illinois, USA, 2004 [9] Kifer, M., Lausen, G., Wu, J. Logical Foundations of Object-Oriented and Frame- Based Languages. Journal of the ACM, 42(4), 1995, pp. 741-843. [10] Žibert, J. et al. Development of a Bilingual Spoken Dialog System for … Cited by 4 Related articles All 4 versions Cite Save

A qualitative description of traffic maneuvers HJ Steinhauer – Spatial Cognition 2004: Poster …, 2004 – sfbtr8.spatial-cognition.de … descriptions that include maneuvers with several reference objects, combined maneuvers, and complex traffic situations and combine them with the dialog system that the … In Image and Vision Computing, 18 (2000) 81-103) 3. Kenneth D. Forbus: Qualitative Reasoning. … Cited by 3 Related articles All 4 versions Cite Save More

Ontological modularity and spatial diversity J Bateman, S Borgo, K Lüttich, C Masolo… – Spatial Cognition and …, 2007 – Taylor & Francis … We have available entire families of formal calculi for qualitative reasoning about space, ranging from treatments of pure regions and their connections (RCC; Randell, Cui, & Cohn, 1992) to orientation calculi (including Doublecross (Freksa, 199214. Freksa, C. 1992. … Cited by 11 Related articles All 2 versions Cite Save

Overview: The US Office of Naval research training technology R&D SF Chipman – 2004 – DTIC Document … While some other agencies have supported work on artificial dialog systems, the focus on the special characteristics of tutorial dialog … The second Tutorial Dialog project, Why2000, tutors qualitative reasoning about physics problems and is a collaboration between Kurt VanLehn … Cited by 7 Related articles All 2 versions Cite Save

[BOOK] Artificial intelligence in education: building technology rich learning contexts that work R Luckin, KR Koedinger, JE Greer – 2007 – books.google.com … of the Semantic Web 726 Tutorial Organizers: Evandro Costa and Ig Bittencourt Mediating Conceptual Knowledge with Qualitative Reasoning Technology 727 Tutorial Organizers: Bert Bredeweg and Paulo Salles Rapidly Creating a Tutorial Dialogue System Using the TuTalk … Cited by 7 Related articles All 5 versions Cite Save

Deep Reasoning in Clarification Dialogues with Mobile Robots H Coelho – ECAI 2010: 19th European Conference on Artificial …, 2010 – books.google.com … All three represent essential components for human- robot dialogue systems. … major contributions of the current work are twofold: the development of the robot’s qualitative spatial be- lief model (QSBM), and the generation of the robot’s responses us- ing qualitative reasoning. … Cited by 2 Related articles All 6 versions Cite Save

Adaptive technologies VJ Shute, D Zapata-Rivera – Handbook of research on …, 2008 – books.google.com … Students teach Betty by using concept map representations with a visual interface. Betty is intelligent, not because she learns on her own but because she can apply qualitative-reasoning tech- niques to answer questions that are directly related to what she has been taught. … Cited by 44 Related articles All 6 versions Cite Save

On the role of the user in monitoring the environment in self-adaptive systems: a position paper J Whittle, W Simm, MA Ferrario – … of the 2010 ICSE Workshop on …, 2010 – dl.acm.org … However, there have also been more qualitative approaches to monitoring and adaptation based on soft computing and qualitative reasoning (eg, [4, 5]). There … For example, in [7], the authors report on a AI-driven dialogue system that extracts a model of user preferences from a … Cited by 6 Related articles All 4 versions Cite Save

A proposal for student modelling based on ontologies A de Antonio, J Ramírez… – FRONTIERS IN …, 2008 – books.google.com … 1, pp. 381-450, 1986. [11] Kass, R. Student Modelling in intelligent tutoring systems–implictions for user modelling. User Models in Dialog Systems, eds. … Proceedings of the twelf International Workshop on qualitative reasoning, pp. 42-49, 1998 [18] Wielinga, BJ Schreiber, A. Th. … Cited by 4 Related articles All 6 versions Cite Save

Qualitative modeling KD Forbus – Wiley Interdisciplinary Reviews: Cognitive Science, 2011 – Wiley Online Library … Understanding the representations and processes that underlie such reasoning is a goal of qualitative reasoning research. … Thus, landmark generation must be carefully controlled during qualitative reasoning (see Section on Qualitative Simulation and Time). … Cited by 6 Related articles All 2 versions Cite Save

Situating spatial language and the role of ontology: Issues and outlook J Bateman – Language and Linguistics Compass, 2010 – Wiley Online Library … Simons 1987). Similarly, qualitative reasoning is suggested to resemble human problem solving more closely than do quantitative methods. Although considerably more study is required here, increasing empirical support for these positions is emerging. For example, Mark et al. … Cited by 11 Related articles Cite Save

An evaluation of pedagogical tutorial tactics for a natural language tutoring system: A reinforcement learning approach M Chi, K VanLehn, D Litman, P Jordan – International Journal of Artificial …, 2011 – IOS Press … a large body of research on comparing experts and novices on physics problem solving indicates the importance of qualitative reasoning in physics … Previous research on using RL to improve dialogue systems (eg (Levin & Pieraccini, 1997; Singh, Kearns, Litman, & Walker, 1999 … Cited by 11 Related articles All 9 versions Cite Save

Qualitative reconstruction and update of an object constellation HJ Steinhauer – ECAI 2006 Workshop on Spatial and Temporal …, 2006 – ida.liu.se … The term mental images is frequently used in the literature of nat- ural language systems, dialog systems, and vision systems. … Several further approaches exist that use similar types of models for qualitative reasoning about directed and/or moving objects. … Cited by 3 Related articles All 5 versions Cite Save More

Guided exploratory learning versus directed learning in a simulation environment for thermodynamics: A pilot study CP Rosé, C Torrey, V Aleven – … Intelligent Tutoring Systems State of the …, 2004 – cs.wpi.edu … Workshop on Tutorial Dialogue Systems: With a View Towards the Classroom. Tuttle, K., Wu, Chih,(2001). Intelligent Computer Assisted Instruction in Thermodynamics at the US Naval Academy, Proceedings of the 15th Annual Workshop on Qualitative Reasoning, San Antonio … Cited by 2 Related articles All 3 versions Cite Save More

A method to reduce ambiguities of qualitative reasoning for conceptual design applications V D’amelio, MK Chmarra… – Artificial Intelligence for …, 2013 – Cambridge Univ Press … The multimodal interactive dialogue system program dynamically generates a dialogue that asks questions to resolve uncertain- ties or ambiguities. … and fuzzy approaches (Shen & Leitch, 1992), have been suggested to alleviate the problems of qualitative reasoning methods. … Cited by 1 Related articles All 4 versions Cite Save

A dialog-based intelligent tutoring system for practicing battle command reasoning JM Ryder, AC Graesser, L Mentec, MM Louwerse… – 2004 – DTIC Document … The results of the ATEC development effort showed some of the capabilities and limitations of tutorial dialog systems, and indicated areas for additional research and development. 15. … It showed some of the capabilities and limitations of tutorial dialog systems. … Cited by 1 Related articles All 3 versions Cite Save

Extracting information from natural language input to an intelligent tutoring system MS Glass, MW Evens – Far Eastern Journal of Experimental and …, 2008 – athletics.valpo.edu … VanLehn directed development of the Atlas Project [27, 59, 60, 68]. Atlas-Andes [41] is a physics tutor that combines a model tracing approach with natural language dialogue with the goal of improving the student’s ability to solve problems in qualitative reasoning. … Cited by 2 Related articles All 2 versions Cite Save More

Construction and Evaluation of Animated Teachable Agents. B Bodenheimer, B Williams… – Journal of …, 2009 – search.ebscohost.com … Trainable videorealistic speech animation. ACM Transactions on Graphics 21(3), 388–398. Forbes-Riley, K., Litman, D., Silliman, S., & Tetreault, J. (2006). Comparing synthesized versus pre-recorded tutor speech in an intelligent tutoring spoken dialogue system. In Cited by 6 Related articles All 12 versions Cite Save

Basic help and teachable agent M Wißner, M Häring, R Bühling, W Beek… – Deliverable …, 2010 – hcs.science.uva.nl … We also describe how the different parts of the dialog system presented in Deliverable 5.2 aid us in achieving this task. … other modular ingredients, hyperlinks are also added for terms that are specific to the DynaLearn ILE as well as to the Qualitative Reasoning methodology that … Cited by 4 Related articles All 2 versions Cite Save More

Expert Tutors Adjust Tutoring Strategies When They Change Tutoring Policies in Response to Their Assessment of Student Performance E Lulis, S Argamon, MW Evens – 2006 – facweb.cs.depaul.edu … material, but who often experience difficulty applying this information to new situations; they especially need to practice using qualitative reasoning to solve … The interaction was recorded on the hard drive by CDS, the Computer Dialogue System, written by Jun Li (Li, Seu, Evens … Cited by 1 Related articles Cite Save More

SceneMaker: Visual Authoring of Dialogue Processes G Mehlmann, P Gebhard… – … Dialogue Systems, 2011 – informatik.uni-augsburg.de Proceedings of the 7th IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems, pages 24–36, Barcelona, July … an interactive learn- ing environment in which learners can express their concep- tual knowledge through qualitative reasoning models (Bre … Cited by 1 Related articles All 2 versions Cite Save More

Intelligent tutoring for ill-defined domains in military simulation-based training EO Bratt – International Journal of Artificial Intelligence in …, 2009 – IOS Press … Interviews and observations of military instructors in the damage control and shiphandling domains provide examples of how the instructors extend the student’s training beyond the well-defined simulated world with qualitative reasoning about context, hypothetical variants, and … Cited by 6 Related articles All 8 versions Cite Save

Proposal of fuzzy logic-based students’ learning assessment model CR Huapaya – XVIII Congreso Argentino de Ciencias de la …, 2012 – sedici.unlp.edu.ar … Furthermore, the teachers’ qualitative reasoning is presented in a way that can be easily interpreted by the designers of the Intelligent Tutoring Systems. … (1996) 19. Grigoriadou, M., Tsaganou, G., Cavoura, T. Historical Text Comprehension Reflective Tutorial Dialogue System. … Cited by 1 Related articles Cite Save

Guru: Designing a conversational expert intelligent tutoring system AM Olney, NK Person, AC Graesser… – … Advances in Applied …, 2012 – umdrive.memphis.edu … that Prolog, a declarative language that has been widely used for artificial intelligence research and cutting-edge dialogue systems (Bratko, 1986; Larsson & Traum, 2000; Zinn … quiz, using a qualitative reasoning algorithm. In the same way that we describe the … Cited by 1 Related articles All 4 versions Cite Save More

A Representation Scheme for Description and Reconstruction of Object Configurations Based on Qualitative Relations HJ Steinhauer – 2008 – diva-portal.org … 3 2 Background 5 2.1 The WITAS project . . . . . 6 2.2 The WITAS dialogue systems . . . . . 9 2.3 Qualitative reasoning . . . . . 10 2.4 Mental images . . . . . … Cited by 1 Related articles All 7 versions Cite Save

A Qualitative Medical Diagnosis Approach based on Observer and Validating Agents JC Nieves, H Lindgren, U Cortés – VII Workshop on Agents Applied in …, 2012 – deim.urv.cat … Possibilistic reasoning has shown to be a suitable approach for dealing with qualitative reasoning [15]. … In Section 5, a dialogue system is defined for managing a deliberation process between Observer and Val- idating agents. In Section 6, a short discussion wrt related 51 … Related articles All 2 versions Cite Save More

Systems Thinking in Biology–The case for Qualitative Representations and Reasoning1 B Bredeweg, F Linnebank, W Beek, J Liem – Citeseer … Moreover, the detailed and explicit representations inherent to the Qualitative Reasoning approach make it possible to build knowledgeable dialogue systems, all working on the same underlying domain independent representation. 1. Introduction … Related articles All 2 versions Cite Save More

Synthetic Dialog Agents in Simulated Classroom Discussion for Case-Method Instruction1 S Luperfoy, E Domeshek, E Holman, D Struck – cc.ist.psu.edu … Quantitative and qualitative reasoning skills practiced during case … To capture in an ITS the pedagogical value of the conventional case method we are developing an engaging dialog system that is intuitive for the student and easy for the domain expert or instructor to author. … Related articles Cite Save More

Probabilistic Model For Response Generation With Application Of Bayesian Networks A Mustapha, MN Sulaiman, R Mahmod, H Selamat – 2007 – dspace.fsktm.um.edu.my … T1-72 Razali Yaakob, Graham Kendall 12. LEARNING REACTION MECHANISMS THROUGH QUALITATIVE SIMULATION: TOWARDS THE QUALITATIVE REASONING APPROACH….. T1-78 Alicia Tang, Sharifuddin Mohd. Zain, Noorsaadah Abd. … Related articles All 4 versions Cite Save

What Analogies to Use in an Electronic Tutoring System and When to Use Them E Lulis, J Michael – Citeseer … An approach to increasing programming efficiency in plan-based dialogue systems. In JD Moore, CL Redfield, and WL Johnson (Eds.), Proceedings of Artificial Intelligence in Education. (pp. … Using qualitative reasoning in the classroom and in electronic teaching systems. … Related articles All 2 versions Cite Save More

How Expert Tutors Revise Tutoring Policies and Strategies When Students Make Mistakes E Lulis, S Argamon, M Evens – csjarchive.cogsci.rpi.edu … often experienced difficulty when they had to apply this information to new situations; they therefore needed to practice using qualitative reasoning to solve … The interaction was recorded on the hard drive by CDS, the Computer Dialogue system, written by Jun Li (Li, Seu, Evens … Related articles Cite Save More

Call for Participation S Cities, S Traffic, S Hardware, S Intelligence – 2012 – Springer … It con- cerns several aspects of artificial intelligence and computer science like: qualitative reasoning, spatial information sys- tem, constraint satisfaction problems. … Dialog Systems that think along—do they really under- stand me? … All 5 versions Cite Save

Using spatial language in multi-modal knowledge capture K Lockwood – … OF THE NATIONAL CONFERENCE ON ARTIFICIAL …, 2007 – aaai.org … Northwestern University, Qualitative Reasoning Group 2145 Sheridan Road Room L359, Evanston Illinois kate@cs.northwestern.edu … For the knowledge capture component I am building a dialogue system into the Companions System architecture (Forbus & Hinrichs, 2006). … Related articles All 4 versions Cite Save

Exploring the Instructional Effectiveness of Mixed-Language Peer Problem Solving Interactions G GWEON, C ROSÉ, R CAREY, Z ZAISS – Workshop scientific committee – andrew.cmu.edu … agent designed to engage students in learning oriented activities such as requesting explanations and building qualitative reasoning representations … in natural language has not been enough to yield “the 2 sigma effect” with tutorial dialogue systems, simply anthropomorphizing … Related articles All 3 versions Cite Save More

Towards A Multi-Agent Based Model of Argumentation and Dialogue for E-Learning A Moubaiddin, N Obeid – 2009 – ju.edu.jo … Dialogue embedding takes place when the embedded dialogue is functionally related to the first one. We now give a brief presentation of some dialogue systems that are essential for accomplishing a concrete task. … Every dialogue system specifies its own set of locutions. … Related articles All 9 versions Cite Save More

[BOOK] KI 2009: Advances in Artificial Intelligence: 32nd Annual German Conference on AI, Paderborn, Germany, September 15-18, 2009, Proceedings B Mertsching, M Hund, Z Aziz – 2009 – books.google.com … 201 Hauke Tonnies Natural Language Processing Semi-automatic Creation of Resources for Spoken Dialog Systems….. … 460 Martin V. Butz and Gerulf KM Pedersen Right-of-Way Rules as Use Case for Integrating GOLOG and Qualitative Reasoning….. … All 2 versions Cite Save

Web-based personalized laboratories for engineering students EK Sichel, BP Woolf, M Floryan – … (ASEE Zone 1), 2014 Zone 1 …, 2014 – ieeexplore.ieee.org … One of the best examples is CyclePad, a fully implemented articulate virtual laboratory that uses qualitative reasoning to capture thermodynamic … BEETLE II is another tutorial dialogue system, this time to teach circuit analysis, whose interface included an area to display reading … Cite Save

Incorporating tutoring principles into interactive knowledge acquisition J Kim, Y Gil – International Journal of Human-Computer Studies, 2007 – Elsevier … Finally, we present our design and implementation of a new acquisition dialogue system called SLICK (skills for learning to … Rich domain models, knowledge-based reasoning, and qualitative reasoning capabilities have been used in some of the instructional systems that guide … Cited by 17 Related articles All 12 versions Cite Save

Spatial descriptions in type theory with records S Dobnik, R Cooper – Proceedings of IWCS 2013 Workshop on …, 2013 – cms.kdis.edu.cn … Our aim is to create empirically motivated personalized salience models, and integrate them into our spoken-dialogue system for city exploration [1]. Two 1 Supported by the European Commission, project Spacebook, grant no 270019. Page 8. … Cited by 1 Related articles All 11 versions Cite Save More

Managing Knowledge in a World of Networks SSV Svátek – 2006 – Springer … 2 Pedro Domingos Knowledge Acquisition KARaCAs: Knowledge Acquisition with Repertory Grids and Formal Concept Analysis for Dialog System Construction … 350 Koji Zettsu, Yasushi Kiyoki A Formal Approach to Qualitative Reasoning on Topological Properties of Networks … Cite Save

Trading spaces: How humans and humanoids use speech and gesture to give directions J Cassell, S Kopp, P Tepper, K Ferriman… – Conversational …, 2007 – justinecassell.com Page 1. 8 Trading Spaces: How Humans and Humanoids use Speech and Gesture to Give Directions Justine Cassell, Stefan Kopp, Paul A. Tepper, Kim Ferriman, Kristina Striegnitz Abstract Humans frequently accompany direction-giving with gestures. … Cited by 71 Related articles All 9 versions Cite Save More

Acquiring conceptual expertise from modeling: The case of elementary physics K Vanlehn, B van de Sande – Development of professional …, 2009 – books.google.com … This appears to be what experts do, but the evidence is only anec- dotal at this time. Finding sound and complete algorithms that solve large systems of con?u- ences is just one of the problems studied in the ?eld of qualitative reasoning (QR) about physical system. … Cited by 9 Related articles All 5 versions Cite Save

A literature review on artificial intelligence SA Oke – International Journal of Information and Management …, 2008 – ijims.ms.tku.edu.tw … methods for qualitative reasoning. A study on axomatising causal reasoning is credited … dialogue policy, which address the technical challenges in applying reinforcement learn- ing to a working dialogue system with human users was presented (Singh et al., 2002). Page 14. i … Cited by 4 Related articles All 2 versions Cite Save More

Twenty-Sixth Annual Conference of the Cognitive Science Society K Forbus, D Gentner, T Regier – 2004 – cs.northwestern.edu … reflected in our choice of Susan Goldin-Meadow and Doug Medin as our two plenary speakers, and Larry Barsalou and Art Markman for a debate on embodied cognition, as well as in the themes of the invited symposia: language and thought, qualitative reasoning, higher-order … Related articles Cite Save More

[BOOK] One-on-one tutoring by humans and computers M Evens, J Michael – 2006 – books.google.com Page 1. ONE—ON-ONE TUTORING BY HUMANS AND COMPUTERS Martha Evens °Jocl Michael Page 2. One-on-One Tutoring by Humans and Computers Page 3. This page intentionally left blank Page 4. One-on-One Tutoring … Cited by 71 Related articles All 2 versions Cite Save

Basic tutorial tactics for virtual agents M Wißner, E André, M Häring, G Mehlmann, R Bühling… – 2010 – dare.uva.nl … AutoTutor follows a 5-step dialog system, a pattern Graesser et al. … Furthermore, scene content can be generated automatically by external generation modules such as qualitative reasoning models or semantical phrase generation modules. Page 14. Project No. 231526 … Cited by 3 Related articles All 2 versions Cite Save More

Automated analysis and feedback techniques to support and teach argumentation: A survey O Scheuer, BM McLaren, F Loll… – … Skills. Bentham Science …, 2012 – oliver-scheuer.info … when certain evaluation norms or procedures are applied. We discuss two approaches, one relying on qualitative reasoning, the other on quantitative machine reasoning. From the field of computational dialectics (Walton, 2008 … Cited by 15 Related articles All 5 versions Cite Save More

CycleTalk: Data driven design of support for simulation based learning CP Rosé, R Kumar, V Aleven, A Robinson… – International Journal of …, 2006 – IOS Press … In this article, we discuss the motivation for a novel style of tutorial dialogue system that emphasizes reflection in a simulation based exploratory learning environment called CyclePad, which was developed in order to offer students practice at design and optimization of … Cited by 8 Related articles All 16 versions Cite Save

Domain knowledge and multimodal grounding M Cavazza, C Brewster, D Charlton, C Smith – 2007 – Citeseer … mapping between a Knowledge Representation approach and a given formalism: examples of this include Planning formalisms or formalisms for Qualitative Reasoning. … On the other hand, the notion of joint task may also be less obvious than in practical dialogue systems or in … Cited by 3 Related articles All 2 versions Cite Save More

A proposed architecture for self-adaptive expert systems TT Chen, CS Ho – International Journal of Software Engineering and …, 2009 – World Scientific Page 1. International Journal of Software Engineering and Knowledge Engineering Vol. 19, No. 2 (2009) 213–248 c© World Scientific Publishing Company A PROPOSED ARCHITECTURE FOR SELF-ADAPTIVE EXPERT SYSTEMS … Related articles Cite Save

Advances in Artificial Intelligence BMM Hund, Z Aziz – 2009 – Springer … 201 Hauke Tönnies Natural Language Processing Semi-automatic Creation of Resources for Spoken Dialog Systems….. … 460 Martin V. Butz and Gerulf KM Pedersen Right-of-Way Rules as Use Case for Integrating GOLOG and Qualitative Reasoning….. … Related articles Cite Save

Extraction of probabilistic route information representations from human-robot dialogs. AM Bauer – 2010 – mediatum.ub.tum.de … 26 3.4 Dialog System for Proactive Route Information Extraction . . . . . 29 3.4.1 System Overview . . . . . … 94 C Questionnaires 97 C.1 Questionnaire for Dialog-System Assessment . . . . . … Cited by 1 Related articles All 3 versions Cite Save More

Spatial relations for perceptual anchoring J Melchert, S Coradeschi… – Proceedings of AISB’07, …, 2007 – homepages.cs.ncl.ac.uk … Their results pro- vide hints for possible communication scenarios and the employed communication strategies and spatial reference systems, that we will consider in our dialogue system. So far, the use of spatial relations for anchoring has not been stud- ied in detail. … Cited by 7 Related articles All 11 versions Cite Save More

Integrating Answer Set Programming and POMDPs for Knowledge Representation and Reasoning in Robotics S Zhang – 2013 – redwood.cs.ttu.edu … 16 Page 24. Texas Tech University, Shiqi Zhang, August 2013 dialog systems. Batog et al. … and Lozano-Perez. 19 Page 27. Texas Tech University, Shiqi Zhang, August 2013 Qualitative reasoning is another research area in AI. For example, frequently it may not … Related articles All 2 versions Cite Save More

Interpreting Destination Descriptions for Navigation Services Y Wu – 2011 – dtl.unimelb.edu.au Page 1. INTERPRETING DESTINATION DESCRIPTIONS FOR NAVIGATION SERVICES Yunhui Wu Department of Infrastructure Engineering School of Engineering The University of Melbourne Submitted in total fulfillment of … Related articles All 2 versions Cite Save More

Requirements Engineering In Agent-oriented Software Engineering S Vafadar, AA Barfourosh – 2008 – ceit.aut.ac.ir Page 1. 1 Amirkabir University of Technology (Tehran Polytechnic) IT & Computer Engineering Department AIS Lab No 424, Hafez Ave., Tehran 15914, Iran Requirements Engineering In Agent-oriented Software Engineering Shiva Vafadar Ahmad Abdollahzadeh Barfourosh … Related articles All 3 versions Cite Save More

Method and system for semi-automatic guesstimation JA Abourbih – Msc project, University of Edinburgh, Scotland, 2009 – inf.ed.ac.uk … form calculations with OM representations for which no mantissa is available. Nayak [1995] discusses a qualitative reasoning system called NAPIER that implements a form of OM reasoning in which no mantissa is known, to solve complex systems of equa- tions. … Cited by 3 Related articles All 6 versions Cite Save More

Learning to troubleshoot: Multistrategy learning of diagnostic knowledge for A Ram, S Narayanan, MT Cox – cc.gatech.edu … objective evaluation of the model. The user interaction in the current implementation of the system is very simple since that was not the focus of our research; however, it would be relatively easy to include a more sophisticated dialog system if desired. . … Related articles All 11 versions Cite Save More

Transformation of graphical models to support knowledge transfer A Holland – 2009 – dokumentix.ub.uni-siegen.de … 9 2.2.2. Knowledge Representation . . . . . 11 2.2.3. Knowledge Modeling . . . . . 12 2.2.4. Dialogue System . . . . . 13 2.3. KBS Review . . . . . 15 3. Uncertainty Management 17 3.1. … Related articles All 3 versions Cite Save

[BOOK] Managing Knowledge in a World of Networks: 15th International Conference, EKAW 2006, Podebrady, Czech Republic, October 6-10, 2006, Proceedings S Staab, V Svatek – 2006 – books.google.com … A Unified View 2 Domingos 3dge Acquisition .s: Knowledge Acquisition with Repertory Grids and Formal Analysis for Dialog System Construction 3 … Based on Harnessing Collective ce on the Web 350 Zettsu, Yasushi Kiyoki Approach to Qualitative Reasoning on Topological … All 2 versions Cite Save

Preference-based search with suggestions P Viappiani – 2007 – researchgate.net Page 1. POUR L’OBTENTION DU GRADE DE DOCTEUR ÈS SCIENCES PAR laurea in ingegneria informatica, Politecnico di Milano, Italie et de nationalité italienne acceptée sur proposition du jury: Lausanne, EPFL 2007 Prof. A. Wegmann, président du jury Prof. … Cited by 2 Related articles All 8 versions Cite Save

A Survey of Commonsense Knowledge Acquisition LJ Zang, C Cao, YN Cao, YM Wu… – Journal of Computer …, 2013 – Springer Page 1. Zang LJ, Cao C, Cao YN et al. A survey of commonsense knowledge acquisition. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 28(4): 689-719 July 2013. DOI 10.1007/s11390-013-1369-6 A Survey of Commonsense Knowledge Acquisition … Cited by 1 Related articles All 6 versions Cite Save

A Pragmatic Approach to Computational Narrative Understanding E Tomai – 2009 – qrg.northwestern.edu … Horswill, who were always willing to take the time to sift through my ideas and problems and provide insightful feedback. I am also grateful to the members of the Qualitative Reasoning Group with whom I have shared offices, meetings and work over the past seven years. … Related articles All 2 versions Cite Save More

Understanding natural language descriptions of physical phenomena SE Kuehne – 2004 – DTIC Document … They form an intermediate representational layer between the natural language input and the representations that can be used in qualitative reasoning, eg model fragments in CML (Falkenhainer et al., 1994). 1.2 Controlling the input language … Cited by 11 Related articles All 13 versions Cite Save

Solving conflicts in information merging by a flexible interpretation of atomic propositions S Schockaert, H Prade – Artificial Intelligence, 2011 – Elsevier Although many techniques for merging conflicting propositional knowledge bases have already been proposed, most existing work is based on the idea that inconsis. Cited by 10 Related articles All 7 versions Cite Save

The construction of mental models of information-rich web spaces: the development process and the impact of task complexity Y Zhang – 2009 – sils.unc.edu Page 1. The Construction of Mental Models of Information-rich Web Spaces: The Development Process and the Impact of Task Complexity Yan Zhang A dissertation submitted to the faculty of the University of North Carolina at … Cited by 6 Related articles All 9 versions Cite Save More

General ontology baseline S Farrar, J Bateman – Deliverable D1, I1-[OntoSpace], 2004 – ontospace.uni-bremen.de Page 1. OntoSpace Project Report University of Bremen Germany SFB/TR 8: I1-[OntoSpace] General Ontology Baseline Deliverable D1 I1-[OntoSpace]; Workpackage 1 Scott Farrar and John Bateman December 2005 Version: 2.0 … Cited by 9 Related articles Cite Save More

Human-robot interface: Issues in operator performance, interface design, and technologies JY Chen, EC Haas, K Pillalamarri, CN Jacobson – 2006 – DTIC Document Page 1. Human-Robot Interface: Issues in Operator Performance, Interface Design, and Technologies by Jessie YC Chen, Ellen C. Haas, Krishna Pillalamarri, and Catherine N. Jacobson ARL-TR-3834 July 2006 Approved for public release; distribution is unlimited. Page 2. … Cited by 16 Related articles All 7 versions Cite Save

Outlook: Integration and future perspectives for affective computing KR Scherer, T Bänziger… – A Blueprint for Affective …, 2010 – books.google.com … Dialogue systems: such applications deal with actual human-machine interactions in task-based scenarios such as telephone-based voice portals. … International Workshop on Affective Dialogue Systems, pp. 154–65. Springer, Berlin/Heidelberg. … Related articles All 2 versions Cite Save