Cognition Multi-Agent Interaction
Herausgeber: Sun, Ron
Cognition Multi-Agent Interaction
Herausgeber: Sun, Ron
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This book explores the intersection between individual cognitive modeling and modeling of multi-agent interaction.
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This book explores the intersection between individual cognitive modeling and modeling of multi-agent interaction.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Cambridge University Press
- Seitenzahl: 450
- Erscheinungstermin: 28. August 2008
- Englisch
- Abmessung: 229mm x 152mm x 24mm
- Gewicht: 647g
- ISBN-13: 9780521728959
- ISBN-10: 0521728959
- Artikelnr.: 23606105
- Herstellerkennzeichnung
- Books on Demand GmbH
- In de Tarpen 42
- 22848 Norderstedt
- info@bod.de
- 040 53433511
- Verlag: Cambridge University Press
- Seitenzahl: 450
- Erscheinungstermin: 28. August 2008
- Englisch
- Abmessung: 229mm x 152mm x 24mm
- Gewicht: 647g
- ISBN-13: 9780521728959
- ISBN-10: 0521728959
- Artikelnr.: 23606105
- Herstellerkennzeichnung
- Books on Demand GmbH
- In de Tarpen 42
- 22848 Norderstedt
- info@bod.de
- 040 53433511
Part I. Introduction: 1. Prolegomena to integrating cognitive modeling and
social simulation Ron Sun; Part II. Overviews of Cognitive Architectures:
2. Modeling paradigms in ACT-R Niel Taatgen, Christian Lebiere and John
Anderson; 3. Considering Soar as an agent architecture Robert Wray and
Randolph M. Jones; 4. The CLARION cognitive architecture: extending
cognitive modeling to social simulation Ron Sun; Part III. Modeling and
Simulating Cognitive and Social Processes: 5. Cognitive architectures, game
playing, and human evolution Robert West, Christian Lebiere, and Dan
Bothell; 6. Simulating a simple case of organizational decision making
Isaac Naveh and Ron Sun; 7. Cognitive modeling of social behaviors William
J. Clancey, Maarten Sierhuis, Bruce Damer, and Boris Brodsky; 8. Cognitive
agents interacting in real and virtual worlds Brad Best and Christian
Lebiere; 9. Modeling social emotions and social attributions Jonathan
Gratch, Wenji Mao, and Stacy Marcella; 10. Communicating and collaborating
with robotic agents J. Gregory Trafton, Alan C. Schultz, Nicholas L.
Cassimatis, Laura M. Hiatt, Dennis Perzanowski, Derek P. Brock, Magdalena
D. Bugajska, and William Adams; 11. Behavior-based methods for modeling and
structuring control of social robots Dylan Shell and Maja Mataric; 12.
Evolution of a teamwork model Nathan Schurr, Steven Okamoto, Rajiv T.
Matheswaran, and Milind Tambe; 13. Sociality in embodied neural agents
Domenico Parisi and Stefano Nolfi; 14. Cognitive architecture and contents
for social structures and interactions Cristiano Castelfranchi; Part IV. A
Symposium: 15. Cognitive science and good social science Scott Moss; 16.
Collective cognition and emergence in multi-agent systems Pietro Panzarasa
and Nick Jennings; 17. Social judgement in multi-agent systems Tom Burns
and Ewa Roszkowska; 18. Including human variability in a cognitive
architecture to improve team simulation Frank Ritter and Emma Norling; 19.
When does social simulation need cognitive models? Nigel Gilbert.
social simulation Ron Sun; Part II. Overviews of Cognitive Architectures:
2. Modeling paradigms in ACT-R Niel Taatgen, Christian Lebiere and John
Anderson; 3. Considering Soar as an agent architecture Robert Wray and
Randolph M. Jones; 4. The CLARION cognitive architecture: extending
cognitive modeling to social simulation Ron Sun; Part III. Modeling and
Simulating Cognitive and Social Processes: 5. Cognitive architectures, game
playing, and human evolution Robert West, Christian Lebiere, and Dan
Bothell; 6. Simulating a simple case of organizational decision making
Isaac Naveh and Ron Sun; 7. Cognitive modeling of social behaviors William
J. Clancey, Maarten Sierhuis, Bruce Damer, and Boris Brodsky; 8. Cognitive
agents interacting in real and virtual worlds Brad Best and Christian
Lebiere; 9. Modeling social emotions and social attributions Jonathan
Gratch, Wenji Mao, and Stacy Marcella; 10. Communicating and collaborating
with robotic agents J. Gregory Trafton, Alan C. Schultz, Nicholas L.
Cassimatis, Laura M. Hiatt, Dennis Perzanowski, Derek P. Brock, Magdalena
D. Bugajska, and William Adams; 11. Behavior-based methods for modeling and
structuring control of social robots Dylan Shell and Maja Mataric; 12.
Evolution of a teamwork model Nathan Schurr, Steven Okamoto, Rajiv T.
Matheswaran, and Milind Tambe; 13. Sociality in embodied neural agents
Domenico Parisi and Stefano Nolfi; 14. Cognitive architecture and contents
for social structures and interactions Cristiano Castelfranchi; Part IV. A
Symposium: 15. Cognitive science and good social science Scott Moss; 16.
Collective cognition and emergence in multi-agent systems Pietro Panzarasa
and Nick Jennings; 17. Social judgement in multi-agent systems Tom Burns
and Ewa Roszkowska; 18. Including human variability in a cognitive
architecture to improve team simulation Frank Ritter and Emma Norling; 19.
When does social simulation need cognitive models? Nigel Gilbert.
Part I. Introduction: 1. Prolegomena to integrating cognitive modeling and
social simulation Ron Sun; Part II. Overviews of Cognitive Architectures:
2. Modeling paradigms in ACT-R Niel Taatgen, Christian Lebiere and John
Anderson; 3. Considering Soar as an agent architecture Robert Wray and
Randolph M. Jones; 4. The CLARION cognitive architecture: extending
cognitive modeling to social simulation Ron Sun; Part III. Modeling and
Simulating Cognitive and Social Processes: 5. Cognitive architectures, game
playing, and human evolution Robert West, Christian Lebiere, and Dan
Bothell; 6. Simulating a simple case of organizational decision making
Isaac Naveh and Ron Sun; 7. Cognitive modeling of social behaviors William
J. Clancey, Maarten Sierhuis, Bruce Damer, and Boris Brodsky; 8. Cognitive
agents interacting in real and virtual worlds Brad Best and Christian
Lebiere; 9. Modeling social emotions and social attributions Jonathan
Gratch, Wenji Mao, and Stacy Marcella; 10. Communicating and collaborating
with robotic agents J. Gregory Trafton, Alan C. Schultz, Nicholas L.
Cassimatis, Laura M. Hiatt, Dennis Perzanowski, Derek P. Brock, Magdalena
D. Bugajska, and William Adams; 11. Behavior-based methods for modeling and
structuring control of social robots Dylan Shell and Maja Mataric; 12.
Evolution of a teamwork model Nathan Schurr, Steven Okamoto, Rajiv T.
Matheswaran, and Milind Tambe; 13. Sociality in embodied neural agents
Domenico Parisi and Stefano Nolfi; 14. Cognitive architecture and contents
for social structures and interactions Cristiano Castelfranchi; Part IV. A
Symposium: 15. Cognitive science and good social science Scott Moss; 16.
Collective cognition and emergence in multi-agent systems Pietro Panzarasa
and Nick Jennings; 17. Social judgement in multi-agent systems Tom Burns
and Ewa Roszkowska; 18. Including human variability in a cognitive
architecture to improve team simulation Frank Ritter and Emma Norling; 19.
When does social simulation need cognitive models? Nigel Gilbert.
social simulation Ron Sun; Part II. Overviews of Cognitive Architectures:
2. Modeling paradigms in ACT-R Niel Taatgen, Christian Lebiere and John
Anderson; 3. Considering Soar as an agent architecture Robert Wray and
Randolph M. Jones; 4. The CLARION cognitive architecture: extending
cognitive modeling to social simulation Ron Sun; Part III. Modeling and
Simulating Cognitive and Social Processes: 5. Cognitive architectures, game
playing, and human evolution Robert West, Christian Lebiere, and Dan
Bothell; 6. Simulating a simple case of organizational decision making
Isaac Naveh and Ron Sun; 7. Cognitive modeling of social behaviors William
J. Clancey, Maarten Sierhuis, Bruce Damer, and Boris Brodsky; 8. Cognitive
agents interacting in real and virtual worlds Brad Best and Christian
Lebiere; 9. Modeling social emotions and social attributions Jonathan
Gratch, Wenji Mao, and Stacy Marcella; 10. Communicating and collaborating
with robotic agents J. Gregory Trafton, Alan C. Schultz, Nicholas L.
Cassimatis, Laura M. Hiatt, Dennis Perzanowski, Derek P. Brock, Magdalena
D. Bugajska, and William Adams; 11. Behavior-based methods for modeling and
structuring control of social robots Dylan Shell and Maja Mataric; 12.
Evolution of a teamwork model Nathan Schurr, Steven Okamoto, Rajiv T.
Matheswaran, and Milind Tambe; 13. Sociality in embodied neural agents
Domenico Parisi and Stefano Nolfi; 14. Cognitive architecture and contents
for social structures and interactions Cristiano Castelfranchi; Part IV. A
Symposium: 15. Cognitive science and good social science Scott Moss; 16.
Collective cognition and emergence in multi-agent systems Pietro Panzarasa
and Nick Jennings; 17. Social judgement in multi-agent systems Tom Burns
and Ewa Roszkowska; 18. Including human variability in a cognitive
architecture to improve team simulation Frank Ritter and Emma Norling; 19.
When does social simulation need cognitive models? Nigel Gilbert.