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AAAI
2010
13 years 9 months ago
Understanding the Success of Perfect Information Monte Carlo Sampling in Game Tree Search
Perfect Information Monte Carlo (PIMC) search is a practical technique for playing imperfect information games that are too large to be optimally solved. Although PIMC search has ...
Jeffrey Richard Long, Nathan R. Sturtevant, Michae...
CHI
2010
ACM
14 years 2 months ago
Improving social game engagement on facebook through enhanced socio-contextual information
In this paper we describe the results of a controlled study of a social game, Magpies, which was built on the Facebook Online Social Network (OSN) and enhanced with contextual soc...
Ben Kirman, Shaun Lawson, Conor Linehan, Francesco...
CONCUR
2008
Springer
13 years 9 months ago
Strategy Construction for Parity Games with Imperfect Information
We consider imperfect-information parity games in which strategies rely on observations that provide imperfect information about the history of a play. To solve such games, i.e., t...
Dietmar Berwanger, Krishnendu Chatterjee, Laurent ...
AMAI
2004
Springer
14 years 1 months ago
A Framework for Sequential Planning in Multi-Agent Settings
This paper extends the framework of partially observable Markov decision processes (POMDPs) to multi-agent settings by incorporating the notion of agent models into the state spac...
Piotr J. Gmytrasiewicz, Prashant Doshi
AAAI
2007
13 years 10 months ago
Minimal Mental Models
Agents must form and update mental models about each other in a wide range of domains: team coordination, plan recognition, social simulation, user modeling, games of incomplete i...
David V. Pynadath, Stacy Marsella