Titlebook: Change of Representation and Inductive Bias; D. Paul Benjamin Book 1990 Kluwer Academic Publishers 1990 autonomous system.hierarchical pla

Harass

https://doi.org/10.1007/978-0-387-48576-8 ability to solve problems, answer questions, and acquire knowledge has traditionally been bounded by its initial problem representation. One solution to this dilemma is to develop systems which can automatically alter their problem representation. This research deals with automatically shifting fro

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rods366

Reflections on New Perspectives,help a programmer to choose (or derive) a good representation — we call such a system a .. To make this system possible requires well-founded knowledge about what makes a representation effective and what makes a representation sound. This paper is in part a catalogue of the kinds of mathematical re

Enzyme

https://doi.org/10.1007/978-3-8350-9595-3to be a functor from the category of problems to the category of solutions. Two strategies are considered similar if there is a natural transformation on one into the other..Prof. Takahara considered the case where problems are defined by pay-off matrices and solutions are pre-orders on the rows of

用手捏

Planning disassembly with stochastic yields,icit forms. The compilation techniques we are developing produce a . problem solver where the generators produce values for solution parameters, and the testers check the satisfaction of the problem constraints. To improve the efficiency of the generate-and-test problem solver, our approach uses . t

送秋波

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objection

obtuse

Planning Support Systems and Smart Citiesg objects; we formally account for the context sensitivity of recognition observed by W. Labov. We show how multiple theories of “cup” can be combined in a new theory of that concept. Finally, we conjecture that operationality in explanation based learning is related to the cost of abduction..The lo

critique

PlanningTheory: Reconstruction or Requiem?,e role of knowledge that the system itself possesses in generating and selecting among inductive hypotheses. Inductive learning has often been characterized as a search in a hypothesis space for hypotheses consistent with observations. It is shown that committing to a given hypothesis space is equiv