Abstract: We propose a new paradigm for solving problems in a computational society where a computational agent is able to use information about the direct and indirect computational experiences of other agents. We call this framework the history computing (HC) framework and use it to generalize existing computational frameworks that might be used in a computational agent society, like relativized or oracle computing and knowledge compilation (KC). We present a classification of problems using this framework and give some examples showing that direct compilation of computational experiences of other agents can be significantly enhanced by adding meta-information about these experiences. Finally we discuss some relationships with relativized computing and KC, showing that the HC-framework is able to refine both.
Publication Year: 2005
Publication Date: 2005-01-01
Language: en
Type: article
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