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» Logic Programming for Knowledge Representation
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IAT
2007
IEEE
15 years 9 months ago
Training Intelligent Agents in the Semantic Web Era: The Golf Advisor Agent
Agent training techniques study methods to embed empirical, inductive knowledge representations into intelligent agents, in dynamic, recursive or semi-automated ways, expressed in...
Ioannis N. Athanasiadis
GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
15 years 8 months ago
Discovering biological motifs with genetic programming
Choosing the right representation for a problem is important. In this article we introduce a linear genetic programming approach for motif discovery in protein families, and we al...
Rolv Seehuus, Amund Tveit, Ole Edsberg
CLIMA
2006
15 years 4 months ago
Multi-Agent FLUX for the Gold Mining Domain (System Description)
FLUX is a declarative, CLP-based programming method for the design of agents that reason logically about their actions and sensor information in the presence of incomplete knowledg...
Stephan Schiffel, Michael Thielscher
LPNMR
2005
Springer
15 years 8 months ago
A DLP System with Object-Oriented Features
The paper presents DLV+ a Disjunctive Logic Programming system with object-oriented constructs, including classes, objects, (multiple) inheritance, and types. DLV+ is built on top ...
Francesco Ricca, Nicola Leone, Valerio De Bonis, T...
ATAL
2010
Springer
15 years 4 months ago
Strategic planning for probabilistic games with incomplete information
Alternating-time Temporal Logic (ATL) [1] is used to reason about strategic abilities of agents. Aiming at strategies that can realistically be implemented in software, many varia...
Henning Schnoor