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Dynamics and Control of Multiagent Systems

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Dynamics and Control of Multiagent Systems

» B. A. Huberman and T. Hogg, The Emergence of Computational Ecologies, 1993
Distributed systems, social and computational, are characterized by individual programs or agents that must make decisions based on limited, uncertain and delayed information

The nature of their instabilities and volatility is described in:

» T. Hogg, B. A. Huberman, and M. Youssefmir, The Instability of Markets, 1995

» M. Youssefmir and B. A. Huberman, Clustered Volatility in Multiagent Dynamics, 1995

Their response to environmental changes is described in:

» N. Glance, T. Hogg and B. A. Huberman, Computational Ecosystems in a Changing Environment, 1991

» T. Hogg and B. A. Huberman, Controlling Chaos in Distributed Systems, 1991
The chaotic behavior that can appear in computational ecologies can often be controlled with a simple local reward mechanism

» C. Loch and B. A. Huberman, A Punctuated Equilibrium Model of Technology Diffusion, 1997
Technology diffusion can be surprisingly bursty when there are positive externalites

» B. A. Huberman, The Dynamics of Organizational Learning, 1997
Organizations display strong regularities in their learning patterns

» Information Dynamics Lab

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