Descripción del título
Socially Intelligent Agents...
Socially situated planning provides one mechanism for improving the social awareness ofagents. Obviously this work isin the preliminary stages and many of the limitation and the relationship to other work could not be addressed in such a short chapter. The chief limitation, of course, is the strong commitment to de?ning social reasoning solely atthe meta-level, which restricts the subtlety of social behavior. Nonetheless, our experience in some real-world military simulation applications suggest that the approach, even in its preliminary state, is adequate to model some social interactions, and certainly extends the sta- of-the art found in traditional training simulation systems. Acknowledgments This research was funded by the Army Research Institute under contract TAPC-ARI-BR References [1] J. Gratch. Emile: Marshalling passions in training and education. In Proceedings of the Fourth International Conference on Autonomous Agents, pages 325–332, New York, 2000. ACM Press. [2] J. Gratch and R. Hill. Continous planning and collaboration for command and control in joint synthetic battlespaces. In Proceedings of the 8th Conference on Computer Generated Forces and Behavioral Representation, Orlando, FL, 1999. [3] B. Grosz and S. Kraus. Collaborative plans for complex group action. Arti?cial Intelli gence, 86(2):269–357, 1996. [4] A. Ortony, G. L. Clore, and A. Collins. The Cognitive Structure of Emotions. Cambridge University Press, 1988. [5] R.W.PewandA.S.Mavor,editors. Modeling Human and Organizational Behavior. National Academy Press, Washington D.C., 1998
Monografía
monografia Rebiun22346519 https://catalogo.rebiun.org/rebiun/record/Rebiun22346519 m o d | cr#nn#008mamaa 100301s2002 xxu| o |||| 0|eng d 2002021851 1-280-20814-7 9786610208142 0-306-47373-9 10.1007/b116424 doi UPVA 996884537903706 UPM 991005764782704212 CBUC 991004951250206711 CBUC 991003519189506714 CBUC 991004008439606713 CBUC 991010381779406709 CBUC 991010381779406709 CBUC 991000726157806712 CBUC 991010381779406709 UPCT u113438 ES-MaCSI spa eng Socially Intelligent Agents Recurso electrónico] Creating Relationships with Computers and Robots edited by Kerstin Dautenhahn, Alan Bond, Lola Cañamero, Bruce Edmonds Boston, MA Springer US 2002 Boston, MA Boston, MA Springer US 1 online resource (298 p.) 1 online resource (298 p.) Multiagent Systems, Artificial Societies, and Simulated Organizations 1568-2617 3 Description based upon print version of record Includes bibliographical references and index Socially Intelligent Agents -- Understanding Social Intelligence -- Modeling Social Relationship -- Developing Agents Who Can Realte to Us -- Party Hosts and Tour Guides -- Increaing Sia Architecture Realism by Modeling and Adapting to Affect and Personality -- Cooperative Interface Agents -- Playing the Emotion Game with Feelix -- Creating Emotion Recognition Agents for Speech Signal -- Social Intelligence for Computers -- Egochat Agent -- Electric Elves -- Building Empirically Plausible Multi-Agent Systems -- Robotic Playmates -- Mobile Robotic Toys and Autism -- Affective Social Quest -- Pedagogical Soap -- Designing Sociable Machines -- Infanoid -- Play, Dreams and Imitation in Robota -- Experiences with Sparky, a Social Robot -- Socially Situated Planning -- Designing for Interaction -- Me, My Character and the Others -- From Pets to Storyrooms -- Socially Intelligent Agents in Educational Games -- Towards Integrating Plot and Character for Interactive Drama -- The Cooperative Contract in Interactive Entertainment -- Perceptions of Self in Art and Intelligent Agents -- Multi-Agent Contract Negotiation -- Challenges in Agent Based Social Simulation of Multilateral Negotiation -- Enabling Open Agent Institutions -- Embodied Conversational Agents in E-Commerce Applications Socially situated planning provides one mechanism for improving the social awareness ofagents. Obviously this work isin the preliminary stages and many of the limitation and the relationship to other work could not be addressed in such a short chapter. The chief limitation, of course, is the strong commitment to de?ning social reasoning solely atthe meta-level, which restricts the subtlety of social behavior. Nonetheless, our experience in some real-world military simulation applications suggest that the approach, even in its preliminary state, is adequate to model some social interactions, and certainly extends the sta- of-the art found in traditional training simulation systems. Acknowledgments This research was funded by the Army Research Institute under contract TAPC-ARI-BR References [1] J. Gratch. Emile: Marshalling passions in training and education. In Proceedings of the Fourth International Conference on Autonomous Agents, pages 325–332, New York, 2000. ACM Press. [2] J. Gratch and R. Hill. Continous planning and collaboration for command and control in joint synthetic battlespaces. In Proceedings of the 8th Conference on Computer Generated Forces and Behavioral Representation, Orlando, FL, 1999. [3] B. Grosz and S. Kraus. Collaborative plans for complex group action. Arti?cial Intelli gence, 86(2):269–357, 1996. [4] A. Ortony, G. L. Clore, and A. Collins. The Cognitive Structure of Emotions. Cambridge University Press, 1988. [5] R.W.PewandA.S.Mavor,editors. Modeling Human and Organizational Behavior. National Academy Press, Washington D.C., 1998 English Dautenhahn, Kerstin. editor. edt. http://id.loc.gov/vocabulary/relators/edt Bond, Alan. editor. edt. http://id.loc.gov/vocabulary/relators/edt Cañamero, Lola. editor. edt. http://id.loc.gov/vocabulary/relators/edt Edmonds, Bruce. editor. edt. http://id.loc.gov/vocabulary/relators/edt 1-4020-7057-8 Multiagent Systems, Artificial Societies, and Simulated Organizations 1568-2617 3