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Full-Text Articles in Logic and Foundations
Application Of Fuzzy State Aggregation And Policy Hill Climbing To Multi-Agent Systems In Stochastic Environments, Dean C. Wardell
Application Of Fuzzy State Aggregation And Policy Hill Climbing To Multi-Agent Systems In Stochastic Environments, Dean C. Wardell
Theses and Dissertations
Reinforcement learning is one of the more attractive machine learning technologies, due to its unsupervised learning structure and ability to continually even as the operating environment changes. Applying this learning to multiple cooperative software agents (a multi-agent system) not only allows each individual agent to learn from its own experience, but also opens up the opportunity for the individual agents to learn from the other agents in the system, thus accelerating the rate of learning. This research presents the novel use of fuzzy state aggregation, as the means of function approximation, combined with the policy hill climbing methods of Win …
Place-Valued Logics Around Cybernetic Ontology, The Bcl And Afosr, Rudolf Kaehr
Place-Valued Logics Around Cybernetic Ontology, The Bcl And Afosr, Rudolf Kaehr
Rudolf Kaehr
No abstract provided.
From Ruby To Rudy, Rudolf Kaehr
The Chinese Challenge. Hallucinations For Other Futures, Rudolf Kaehr
The Chinese Challenge. Hallucinations For Other Futures, Rudolf Kaehr
Rudolf Kaehr
The main question is: What can we learn from China that China is not teaching us? It is proposed that a study of polycontextural logic and morphogrammatics could be helpful to discover this new kind of rationality.