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ATAL
2006
Springer
15 years 10 months ago
Modeling uncertain domains with polyagents
Agent-based modeling is a powerful tool for systems modeling. Instantiating each domain entity with an agent permits us to capture many aspects of system dynamics and interactions...
H. Van Dyke Parunak, Sven Brueckner
ECML
1987
Springer
15 years 10 months ago
Induction in Noisy Domains
This paper examines the induction of classification rules from examples using real-world data. Real-world data is almost always characterized by two features, which are important ...
Peter Clark, Tim Niblett
214
Voted
LREC
2008
110views Education» more  LREC 2008»
15 years 8 months ago
Unsupervised and Domain Independent Ontology Learning: Combining Heterogeneous Sources of Evidence
Acquiring knowledge from the Web to build domain ontologies has become a common practice in the Ontological Engineering field. The vast amount of freely available information allo...
David Manzano-Macho, Asunción Gómez-...
AAAI
2006
15 years 8 months ago
The Impact of Balancing on Problem Hardness in a Highly Structured Domain
Random problem distributions have played a key role in the study and design of algorithms for constraint satisfaction and Boolean satisfiability, as well as in our understanding o...
Carlos Ansótegui, Ramón Béjar...
JAIR
2006
110views more  JAIR 2006»
15 years 6 months ago
Modelling Mixed Discrete-Continuous Domains for Planning
In this paper we present pddl+, a planning domain description language for modelling mixed discrete-continuous planning domains. We describe the syntax and modelling style of pddl...
Maria Fox, Derek Long