Learning Nested Agent Models in an Information Economy

Details Learning Nested Agent Models in an Information Economy Learning Nested Agent Models in an Information Economy

1998-09-26

arxiv.org/abs/cs/9809108v1

Journal of Experimental and Theoretical Artificial Intelligence. 10(1998)291-308

Computer Science

Multiagent Systems

Scientific paper

We present our approach to the problem of how an agent, within an economic Multi-Agent System, can determine when it should behave strategically (i.e. learn and use models of other agents), and when it should act as a simple price-taker. We provide a framework for the incremental implementation of modeling capabilities in agents, and a description of the forms of knowledge required. The agents were implemented and different populations simulated in order to learn more about their behavior and the merits of using and learning agent models. Our results show, among other lessons, how savvy buyers can avoid being ``cheated'' by sellers, how price volatility can be used to quantitatively predict the benefits of deeper models, and how specific types of agent populations influence system behavior.

Affiliated with

Also associated with

No associations

Rating

Learning Nested Agent Models in an Information Economy does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Learning Nested Agent Models in an Information Economy, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Learning Nested Agent Models in an Information Economy will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-486497