Machine Learning
Machine Learning
Learning from Different Teachers
Machine Learning
Theoretical Computer Science - Special issue: Algorithmic learning theory
Assisting scientific discovery with an adaptive problem solver
DS'05 Proceedings of the 8th international conference on Discovery Science
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To the best of our knowledge, this paper is the first attempt to formalise a pragmatic logic of scientific discovery in a manner such that it can be realised by scientists assisted by machines. Using Institution Agents, we define a dialectic process to manage contradiction. This allows autoepistemic Institution Agents to learn from a supervised teaching process. We present an industrial application in the field of Drug Discovery, applying our system in the prediction of pharmaco-kinetic properties (ADME-T) and adverse side effects of therapeutic drug molecules.