Dynamic Variations: Update and Revision for Diverse Agents
Fenrong Liu

Abstract:
This thesis is concerned with developing the plausibility logic,
incorporating bounded rationality into it. We propose variations for
updating belief plausibility that allow for diversity of agents,
investigate the dramatic difference between agents with `the best
memory' and agents with `the worst memory' in games in terms of their
update behavior, and explore the intermediate cases: how K-memory
agents update their information, here K can go up arbitrarily, as well
as societies of different agents and their interaction.