Bruce Edmonds – författare

The field of socially intelligent agents (SIA) is a fast growing and increasingly important area that comprises highly active research activities and strongly interdisciplinary approaches. This title emerged from the AAAI Symposium "Socially Intelligent Agents - The Human in the Loop". The book provides 32 chapters, addressing topics such as: social robotics; embodied conversational agents; affective computing; anthropomorphism; narrative and story-telling; social aspects in multi-agent systems; new technologies for education and therapy; and more.

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.

The Complexity of Social Norms

This book explores the view that normative behaviour is part of a complex of social mechanisms, processes and narratives that are constantly shifting. From this perspective, norms are not a kind of self-contained social object or fact, but rather an interplay of many things that we label as norms when we ‘take a snapshot’ of them at a particular instant. Further, this book pursues the hypothesis that considering the dynamic aspects of these phenomena sheds new light on them.The sort of issues that this perspective opens to exploration include:Of what is this complex we call a "social norm" composed of?How do new social norms emerge and what kind of circumstances might facilitate such an appearance?How context-specific are the norms and patterns of normative behaviour that arise?How do the cognitive and the social aspects of norms interact over time?How do expectations, beliefs and individual rationality interact with social norm complexes to effect behaviour?How does our social embeddedness relate to social constraint upon behaviour?How might the socio-cognitive complexes that we call norms be usefully researched?

What makes this "social" is that it can represent an observed society.Social systems include all those systems where the components have individual agency but also interact with each other.

What makes this "social" is that it can represent an observed society.Social systems include all those systems where the components have individual agency but also interact with each other.

This volume presents revised versions of the papers presented at the 4th International Workshop on Multi-agent Based Simulation (MABS 2003), a workshop federated with the2ndInternationalJointConferenceonAutonomousAgentsandMulti-agentSystems (AAMAS 2003), which was held in Melbourne, Australia, in July 2003. In addition to the papers presented at the workshop, three additional papers have been included in this volume (Robertson, Noto et al., and Marietto et al.). Multiagent Based Simulation (MABS) is a vibrant interdisciplinary area which brings together researchers active within the agent-based social simulation community (ABSS) and the multiagent systems community (MAS). These two communities have different, indeed somewhat divergent, goals. The focus of ABSS is on simulating and synthesizing social behaviors in order to understand observed social systems (human, animal and even electronic) via the development and testing of new models and c- cepts. MAS focuses instead on the solution of hard engineering problems related to the construction, deployment and ef?cient operation of multiagent-based systems.

Social simulation is the study of natural and artificial society-like structures through the use of computational tools. This handbook comprehensively covers methodology, mechanisms and simulation tools. It also provides an introduction and extensive glossary.