Collective Intelligence for Control of Distributed Dynamical Systems
arXiv:cs/9908013 · doi:10.1209/epl/i2000-00208-x
Abstract
We consider the El Farol bar problem, also known as the minority game (W. B. Arthur, ``The American Economic Review'', 84(2): 406--411 (1994), D. Challet and Y.C. Zhang, ``Physica A'', 256:514 (1998)). We view it as an instance of the general problem of how to configure the nodal elements of a distributed dynamical system so that they do not ``work at cross purposes'', in that their collective dynamics avoids frustration and thereby achieves a provided global goal. We summarize a mathematical theory for such configuration applicable when (as in the bar problem) the global goal can be expressed as minimizing a global energy function and the nodes can be expressed as minimizers of local free energy functions. We show that a system designed with that theory performs nearly optimally for the bar problem.
8 pages
References in corpus (8)
- On the Minority Game : Analytical and Numerical Studies
- An Introduction to Collective Intelligence
- A thermal model for adaptive competition in a market
- A Prototype Model of Stock Exchange
- Using Collective Intelligence to Route Internet Traffic
- Modeling Market Mechanism with Evolutionary Games
- Competition, efficiency and collective behavior in the "El Farol" bar model
- Adaptive Competition, Market Efficiency, Phase Transitions and Spin-Glasses
Cited by in corpus (7)
- Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey
- Collective Intelligence, Data Routing and Braess' Paradox
- Assessing Interaction Networks with Applications to Catastrophe Dynamics and Disaster Management
- Improving Search Algorithms by Using Intelligent Coordinates
- Distributed Constrained Optimization with Semicoordinate Transformations
- Product Distribution Field Theory
- Resource Abstraction for Reinforcement Learning in Multiagent Congestion Problems