1.1k citations · 3.9k across the 28 of their papers we have counts for
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Learning Conventions in Multiagent Stochastic Domains using Likelihood Estimates
Craig Boutilier
Fully cooperative multiagent systems - those in which agents share a joint utility model- is of special interest in AI. A key problem is that of ensuring that the actions of indivi…
Cooperative Negotiation in Autonomic Systems using Incremental Utility Elicitation
Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart +2
Decentralized resource allocation is a key problem for large-scale autonomic (or self-managing) computing systems. Motivated by a data center scenario, we explore efficient techniq…
Bayesian Vote Manipulation: Optimal Strategies and Impact on Welfare
Tyler Lu, Pingzhong Tang, Ariel D. Procaccia +1
Most analyses of manipulation of voting schemes have adopted two assumptions that greatly diminish their practical import. First, it is usually assumed that the manipulators have f…
Regret Minimizing Equilibria and Mechanisms for Games with Strict Type Uncertainty
Nathanael Hyafil, Craig Boutilier
Mechanism design has found considerable application to the construction of agent-interaction protocols. In the standard setting, the type (e.g., utility function) of an agent is no…
Local Utility Elicitation in GAI Models
Darius Braziunas, Craig Boutilier
Structured utility models are essential for the effective representation and elicitation of complex multiattribute utility functions. Generalized additive independence (GAI) models…
Eliciting Forecasts from Self-interested Experts: Scoring Rules for Decision Makers
Craig Boutilier
Scoring rules for eliciting expert predictions of random variables are usually developed assuming that experts derive utility only from the quality of their predictions (e.g., scor…