Representing Bayesian Games Without a Common Prior

Dimitrios Antos; Avi Pfeffer

Representing Bayesian Games Without a Common Prior

Citation:

Antos, D., & Pfeffer, A. (2010). Representing Bayesian Games Without a Common Prior. In Ninth International Conference on Autonomous Agents and Multi-Agent Systems. presented at the 10-14 May 2010, Toronto, Ontario, Canada.

Date Presented:

10-14 May 2010

	AAMAS2010_extendedAbstract.pdf	266.9 KB
	AAMAS2010_fullPaper.pdf	681.87 KB

My Bio

My research develops computational analogues of human emotion to enhance agent decision-making and communication. The goal is to look at what made emotions a successful evolutionary strategy, and transfer these insights into the design of agents that operate in complex environments. I am also interested in ways to use emotion expressions to improve human-computer interaction.

Recent Publications

Deploying Affect-Inspired Mechanisms to Enhance Agent Decision-Making and Communication
Bayesian Model of the Social Effects of Emotion in Decision-Making in Multiagent Systems
Reasoning Patterns in Bayesian Games
A Computer Model of the Interpersonal effects of Emotion Displayed in Social Dilemmas
The influence of emotion expression on perceptions of trustworthiness in negotiation
Using Emotions to Enhance Decision-Making

Dimitrios Antos

PhD in Computer Science, Harvard University - Software Engineer at Google

Representing Bayesian Games Without a Common Prior

Citation:

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