CESR Conversation Archive

CESR Conversations: Dynamic Systems and Agent Based Models

Date/Time: 22-Sep-06, 12:00 Noon
Location: 120 TNRB
Description: Larry Walters will lead the discussion. In agent-based modeling, a system is modeled as a collection of autonomous decision-making entities called agents. Each agent individually assesses its situation and makes decisions on the basis of a set of rules. Agents may execute various behaviors appropriate for the system they represent—for example, producing, consuming, or selling. Repetitive competitive interactions between agents are a feature of agent-based modeling, which relies on the power of computers to explore dynamics out of the reach of pure mathematical methods. At the simplest level, an agent-based model consists of a system of agents and the relationships between them. Even a simple agent-based model can exhibit complex behavior patterns (3) and provide valuable information about the dynamics of the real-world system that it emulates. In addition, agents may be capable of evolving, allowing unanticipated behaviors to emerge. This presentation will explore the potential of such simulation models in the alleviation of poverty.
Handouts, Files, & Recordings: Larry Walters Background Information.doc
Recording