Several modelsfor handlingvagueand impreciseinformation in decision situations havebeensuggested.In those contexts, various interval methodshaveprevailed, i.e. methodsbasedoninter...
AI planning systems tend to be disembodied and are not situated within the environment for which plans are generated, thus losing information concerning the interaction between th...
In this paper, we present an experimental methodology and results for a machine learning approach to learning opening strategy in the game of Go, a game for which the best compute...
The major objective of the Spectral Analysis Automation (SAA) work is to develop an agent-based system that is capable of filtering spectral analysis data and making the selected ...
In abductive planning, plans are constructed as reasons for an agent to act: plans are demonstrations in logical theory of action that a goal will result assuming that given actio...