Daniel Moldt, Christian von Scheve
One of the
important issues in the social sciences and in distributed
artificial intelligence research (i.e. in multi-agent systems) alike is
the micro-macro link, i.e. the question of how individual action and
social structures are interrelated. Our research has identified emotion
as one possible key component in this link. Unfortunately,
sociological theories of emotion remain relatively basic in this
respect and do not refer to emotion research from other disciplines in
great detail. In this project, we examine emotion theories and models
from cognitive science, psychology, neuroscience, and computer science
and their possible contributions to sociological issues in emotion
research. The goal of the project is to relate specific micro-macro
aspects of emotion theory with general sociological issues of social
structural dynamics, both in natural and artificial social systems. The
issues range from the role of emotion in decision making, action
selection, planning and belief formation/revision to behavior in
interactive contexts, e.g. cooperation, coordination, trust, conflict,
conflict resolution, and norm compliance. A further issue to be
investigated in this respect is the emergence of collective emotions in
large-scale social environments (natural and artificial) and their
impact on individual and global system behavior.
Duration: since 01/2001
Keywords: Emotion, Multi-Agent Systems, Artificial Social Systems, Social Simulation, Micro-Macro Dynamics
[C.v.Scheve]
[D. Moldt]
[TGI]
