Computational-Mechanism Design: A Call to Arms

By Rajdeep K. Dash, Nicholas R. Jennings, D. Parkes. IEEE Intelligent Systems, 2003

361 citations recorded by the source corpus.

Computational-mechanism design has an important role to play in developing complex distributed systems comprising multiple interacting agents. Game theory has developed powerful tools for analyzing, predicting, and controlling the behavior of self-interested agents and decision making in systems with multiple autonomous actors. These tools, when tailored to computational settings, provide a foundation for building multiagent software systems. This tailoring gives rise to the field of computational-mechanism design, which applies economic principles to computer systems design.

Subfields: Artificial Intelligence, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/176181af837be5c9c4ecdd9388f7a0b5f48e7925

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Citations in the corpus

Brain Meets Brawn: Why Grid and Agents Need Each Other (2004, background): “This negotiation can be arranged in many different ways; there are millions of protocols, with varying properties, and agent researchers have invested significant effort in determining which protocols are appropriate in which circumstances [9].”
Issues in Multiagent Resource Allocation (2006, background): “This is especially the case in MARA scenarios where computational concerns are prominent [25].”
Argumentation-based negotiation (2003, background): “However, classical game-theoretic approaches have some significant limitations from the computational perspective (Dash et al., 2003).”
Trust in multi-agent systems (2004, background): “Various means of characterising the experience from individual interactions were presented and these were shown to lead to a measure of trust that enables an agent to choose future interaction partners and shape these interactions based on their personal experience with them .”
Self-organized routing for wireless microsensor networks (2005, methodology): “The methodology that we adopt in this paper is that of mechanism design; we find a mechanism which aligns the goals of selfish individual sensors with the global goals of the entire network [4].”