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FLAIRS
2008
15 years 7 months ago
Learning Continuous Action Models in a Real-Time Strategy Environment
Although several researchers have integrated methods for reinforcement learning (RL) with case-based reasoning (CBR) to model continuous action spaces, existing integrations typic...
Matthew Molineaux, David W. Aha, Philip Moore
ISMIS
1999
Springer
15 years 9 months ago
Machine Learning Method for Software Quality Model Building
Software quality prediction can be cast as a concept learning problem. In this paper, we discuss the full cycle of an application of Machine Learning to software quality predictio...
Mauricio Amaral de Almeida, Stan Matwin
ICTAI
2007
IEEE
15 years 11 months ago
ExOpaque: A Framework to Explain Opaque Machine Learning Models Using Inductive Logic Programming
In this paper we developed an Inductive Logic Programming (ILP) based framework ExOpaque that is able to extract a set of Horn clauses from an arbitrary opaque machine learning mo...
Yunsong Guo, Bart Selman
JELIA
2004
Springer
15 years 10 months ago
Hierarchical Decision Making by Autonomous Agents
Abstract. Often, decision making involves autonomous agents that are structured in a complex hierarchy, representing e.g. authority. Typically the agents share the same body of kno...
Stijn Heymans, Davy Van Nieuwenborgh, Dirk Vermeir
AAMAS
2000
Springer
15 years 4 months ago
Synthesizing Coordination Requirements for Heterogeneous Autonomous Agents
Abstract. As agents move into ever more important applications, there is a natural growth in interest in techniques for synthesizing multiagent systems. We describe an approach for...
Munindar P. Singh