Selecting Robust Strategies Based on Abstracted Game Models

g Robust Strategies Based on Abstracted Game Models Oscar Veliz and Christopher Kiekintveld Game theory is a tool for modeling multi-agent decision problems and has been used to great success in modeling and simulating problems such as poker, security, and trading agents. However, many real games are extremely large and complex with multiple agent interactions. One approach for solving these games is bstraction techniques to shrink the game to a form that can be solved by detail and translating a solution back to the original. However, abstraction introduces error into the model. We study ways to analyze games that are robust s in the model of the game, including abstracted games. We empirically several solution methods to examine how robust they are for abstracted games. Key words: Game Theory, Agent Based Simulation, Agent Based Modeling, Abstraction

• Type: Journal
• Year: 2015
• Where: ATAL
• Authors: Oscar Veliz, Christopher Kiekintveld
• Keywords: ATAL 2015, Intelligent Agents