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» Representing First-Order Causal Theories by Logic Programs
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ATAL
2010
Springer
13 years 7 months ago
Using answer set programming to model multi-agent scenarios involving agents' knowledge about other's knowledge
One of the most challenging aspects of reasoning, planning, and acting in a multi-agent domain is reasoning about what the agents know about the knowledge of their fellows, and to...
Chitta Baral, Gregory Gelfond, Tran Cao Son, Enric...
ECAIW
1994
Springer
13 years 11 months ago
Representing and Executing Agent-Based Systems
Abstract. In this paper we describe an approach to the representation and implementation of agent-based systems where the behaviour of an individual agent is represented by a set o...
Michael Fisher
ML
2006
ACM
143views Machine Learning» more  ML 2006»
13 years 7 months ago
Mathematical applications of inductive logic programming
The application of Inductive Logic Programming to scientific datasets has been highly successful. Such applications have led to breakthroughs in the domain of interest and have dri...
Simon Colton, Stephen Muggleton
NMR
2004
Springer
14 years 25 days ago
Frame consistency: computing with causal explanations
This paper presents a computational model for reasoning with causal explanations of observations within the framework of Abductive Event Calculus (AEC). The model is based on abdu...
Andrea Bracciali, Antonis C. Kakas
KR
1994
Springer
13 years 11 months ago
Modalities Over Actions, I. Model Theory
This paper analyzes a language for actions and the deontic modalities over actions -- i.e., the modalities permitted, forbidden and obligatory. The work is based on: (1) an action...
L. Thorne McCarty