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.