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ECAI
2006
Springer
15 years 10 months ago
Cheating Is Not Playing: Methodological Issues of Computational Game Theory
Abstract. Computational Game Theory is a way to study and evaluate behaviors using game theory models, via agent-based computer simulations. One of the most known example of this a...
Bruno Beaufils, Philippe Mathieu
GECCO
2006
Springer
198views Optimization» more  GECCO 2006»
15 years 10 months ago
Reward allotment in an event-driven hybrid learning classifier system for online soccer games
This paper describes our study into the concept of using rewards in a classifier system applied to the acquisition of decision-making algorithms for agents in a soccer game. Our a...
Yuji Sato, Yosuke Akatsuka, Takenori Nishizono
JAIR
2008
135views more  JAIR 2008»
15 years 6 months ago
On Similarities between Inference in Game Theory and Machine Learning
In this paper, we elucidate the equivalence between inference in game theory and machine learning. Our aim in so doing is to establish an equivalent vocabulary between the two dom...
Iead Rezek, David S. Leslie, Steven Reece, Stephen...
AI
2010
Springer
15 years 3 months ago
Robust solutions to Stackelberg games: Addressing bounded rationality and limited observations in human cognition
How do we build algorithms for agent interactions with human adversaries? Stackelberg games are natural models for many important applications that involve human interaction, such...
James Pita, Manish Jain, Milind Tambe, Fernando Or...
BIRTHDAY
2010
Springer
15 years 3 months ago
Quantitative Simulation Games
Abstract. Classical formalizations of systems and properties are boolean: given a system and a property, the property is either true or false of the system. The classical view part...
Pavol Cerný, Thomas A. Henzinger, Arjun Rad...