What is a logical system?
Social choice theory, belief merging, and strategy-proofness
Information Fusion
When are elections with few candidates hard to manipulate?
Journal of the ACM (JACM)
Algorithmic Game Theory
Mechanism design for abstract argumentation
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations
Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations
The strategy-proofness landscape of merging
Journal of Artificial Intelligence Research
A characterisation of strategy-proofness for grounded argumentation semantics
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Collective argument evaluation as judgement aggregation
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Review: a quarter-century of the knowledge engineering review: Introduction to the special issue
The Knowledge Engineering Review
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Game theory is becoming central to the design and analysis of computational mechanisms in which multiple entities interact strategically. The tools of mechanism design are used extensively to engineer incentives for truth revelation into resource allocation (e.g. combinatorial auctions) and preference aggregation protocols (e.g. voting). We argue that mechanism design can also be useful in the design of logical inference procedures. In particular, it can help us understand and engineer inference procedures when knowledge is distributed among self-interested agents. We set a research agenda for this emerging area, and point to some early research efforts.