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Related Concept Videos

Cooperative Allosteric Transitions01:58

Cooperative Allosteric Transitions

Cooperative allosteric transitions can occur in multimeric proteins, where each subunit of the protein has its own ligand-binding site. When a ligand binds to any of these subunits, it triggers a conformational change that affects the binding sites in the other subunits; this can change the affinity of the other sites for their respective ligands. The ability of the protein to change the shape of its binding site is attributed to the presence of a mix of flexible and stable segments in the...
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Related Experiment Videos

Characterizing contract-based multiagent resource allocation in networks.

Bo An1, Victor Lesser

  • 1Department of Computer Science, University of Massachusetts, Amherst, MA 01003, USA. ban@cs.umass.edu

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
|December 4, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces contract-based network resource allocation for multiagent systems. It demonstrates that while optimal allocation is NP-complete, Nash equilibria ensure efficient outcomes through dynamic contract formation.

Related Experiment Videos

Area of Science:

  • Computer Science
  • Network Engineering
  • Game Theory

Background:

  • Multiagent resource allocation problems involve users routing traffic through network nodes with associated costs.
  • Existing models often lack mechanisms for self-interested negotiation and dynamic contract formation.

Purpose of the Study:

  • To propose and analyze a contract-based framework for network resource allocation.
  • To investigate the properties of equilibrium allocations using Nash equilibrium concepts.
  • To study the convergence and efficiency of dynamic contract formation using best-response dynamics.

Main Methods:

  • Characterization of the network allocation problem, proving NP-completeness and inapproximability of optimal solutions.
  • Application of Nash equilibrium and pairwise Nash equilibrium as solution concepts.
  • Introduction and analysis of best-response dynamics for contract negotiation.

Main Results:

  • Optimal network resource allocation is NP-complete and inapproximable.
  • Nash equilibrium and pairwise Nash equilibrium are shown to always exist for these games.
  • Socially optimal allocations are supported by Nash equilibria.
  • Best-response dynamics are analyzed for convergence in special cases and experimentally evaluated.

Conclusions:

  • Contract-based resource allocation provides a viable framework for self-interested agents in networks.
  • Nash equilibria guarantee efficient outcomes, even when optimal solutions are computationally intractable.
  • Best-response dynamics offer a practical mechanism for achieving these efficient allocations.