By Marvin V. Zelkowitz
This current quantity describes many of the most up-to-date advances within the machine technology box this day. This present quantity emphasizes info processing with chapters on man made intelligence, info bases and software program engineering. particularly it appears to be like on the interfaces among AI and software program improvement with chapters on how AI impacts the improvement of right courses, and conversely, how software program engineering can have an effect on the advance of right AI courses. Key gains: * In-depth surveys and tutorials on new desktop expertise. * recognized authors and researchers within the box. * huge bibliographies with so much chapters. * effect of AI on software program improvement and impression of software program improvement on right AI courses. * what's the academic position of arithmetic within the improvement of the subsequent new release of laptop expert? * In-depth surveys and tutorials on new desktop expertise. * recognized authors and researchers within the box. * wide bibliographies with so much chapters. * effect of AI on software program improvement and impression of software program improvement on right AI courses. * what's the academic function of arithmetic within the improvement of the following new release of desktop expert?
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Extra info for Advances in Computers, Vol. 65
Symbolic learning describes systems that formulate and modify rules, facts, and relationships, explicitly expressed in words and symbols. A. HOPGOOD other words, they create and modify their own knowledge base. Numerical learning refers to systems that use numerical models—learning in this context refers to techniques for optimizing the numerical parameters. Numerical learning includes genetic algorithms (Section 5) and artificial neural networks (Section 6). A learning system is usually given some feedback on its performance.
This can be a particular problem during the latter stages of evolution, when the whole population may have congregated within a smooth and fairly flat region of the search space. All individuals in such a region would have similar, relatively high, fitnesses and, thus, it may be difficult to select among them. , there is insufficient variance in fitness across the population to drive further evolution. A range of alternative methods of selection exist. The method originally proposed by Holland , is roulette wheel selection with replacement.
One key use of frames is in the construction of model-based systems, which are particularly important for fault diagnosis. The links between symptoms and diagnosis are not explicitly stated but can be inferred by comparing the characteristics of a model with those of the real system. This section will also consider symbolic learning, in which rules can be expanded and altered in the light of experience. An important class of symbolic learning is case-based reasoning, in which previously encountered cases are stored for possible future retrieval and re-use.
Advances in Computers, Vol. 65 by Marvin V. Zelkowitz