Agents as "Cognitive Strategists": Collective Choice with Shared Mental Models

Organized by the Complex Systems Modeling Team of the Computer Research and Applications Group.

Diana Richards, Department of Political Science, University of Minnesota.

April 28th, VLT Conference Room, 10am-11:30pm

In most agent-based models, agents are assumed to make myopic or neighborhood-based local decisions that aggregate to a collective outcome. Another way to conceptualize agent-based actions is to explore what happens when agents share some sort of "meta-model" over the action or choice domain. We show that if a complex system of aggregated choice respects a mutual knowledge structure, then the prospects of a stable collective outcome are considerably improved. Our domain-independent results apply to any context where one is interested in "democratically" pooling information from collections of agents with multiple sources of conflicting agent-level information.

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Last Modified: April 21, 1999