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AAAI
2011
14 years 6 months ago
Learning in Repeated Games with Minimal Information: The Effects of Learning Bias
Automated agents for electricity markets, social networks, and other distributed networks must repeatedly interact with other intelligent agents, often without observing associate...
Jacob W. Crandall, Asad Ahmed, Michael A. Goodrich
WINE
2009
Springer
121views Economy» more  WINE 2009»
16 years 27 days ago
Gaming Dynamic Parimutuel Markets
We study the strategic behavior of risk-neutral non-myopic agents in Dynamic Parimutuel Markets (DPM). In a DPM, agents buy or sell shares of contracts, whose future payoff in a p...
Qianya Lin, Yiling Chen
DIGRA
2005
Springer
15 years 12 months ago
socio-ec(h)o: Ambient Intelligence and Gameplay
This paper describes the preliminary research of an ambient intelligent system known as socioec(h)o. socio-ec(h)o explores the design and implementation of an ambient intelligent ...
Ron Wakkary, Marek Hatala, Robb Lovell, Milena Dro...
ITSSA
2006
89views more  ITSSA 2006»
15 years 6 months ago
Norm Adaptation of Autonomic Electronic Institutions with Multiple Goals
: Electronic institutions (EIs) have been proposed as a means of regulating open agent societies. EIs define the rules of the game in agent societies by fixing what agents are perm...
Eva Bou, Maite López-Sánchez, Juan A...
ICML
2003
IEEE
15 years 11 months ago
The Significance of Temporal-Difference Learning in Self-Play Training TD-Rummy versus EVO-rummy
Reinforcement learning has been used for training game playing agents. The value function for a complex game must be approximated with a continuous function because the number of ...
Clifford Kotnik, Jugal K. Kalita