Sciweavers

17 search results - page 1 / 4
» Learning Opponent Strategies through First Order Induction
Sort
View
FLAIRS
2011
12 years 7 months ago
Learning Opponent Strategies through First Order Induction
In a competitive game it is important to identify the opponent’s strategy as quickly and accurately as possible so that an effective response can be staged. In this vain, this p...
Katie Long Genter, Santiago Ontañón,...
AICOM
2006
105views more  AICOM 2006»
13 years 4 months ago
Evolutionary concept learning in First Order Logic: An overview
This paper presents an overview of recent systems for Inductive Logic Programming (ILP). After a short description of the two popular ILP systems FOIL and Progol, we focus on meth...
Federico Divina
ICCBR
2005
Springer
13 years 9 months ago
Learning to Win: Case-Based Plan Selection in a Real-Time Strategy Game
While several researchers have applied case-based reasoning techniques to games, only Ponsen and Spronck (2004) have addressed the challenging problem of learning to win real-time ...
David W. Aha, Matthew Molineaux, Marc J. V. Ponsen
AIIA
2005
Springer
13 years 10 months ago
Handling Continuous-Valued Attributes in Incremental First-Order Rules Learning
Machine Learning systems are often distinguished according to the kind of representation they use, which can be either propositional or first-order logic. The framework working wi...
Teresa Maria Altomare Basile, Floriana Esposito, N...
AE
2003
Springer
13 years 9 months ago
An Agent Model for First Price and Second Price Private Value Auctions
The aim of this research is to develop an adaptive agent based model of auction scenarios commonly used in auction theory to help understand how competitors in auctions reach equil...
Anthony J. Bagnall, Iain Toft