By C.S. Krishnamoorthy
This ebook presents a complete presentation of synthetic intelligence (AI) methodologies and instruments worthwhile for fixing a large spectrum of engineering difficulties. what is extra, it deals those AI instruments on an accompanying disk with easy-to-use software program. synthetic Intelligence and specialist structures for Engineers info the AI-based methodologies referred to as: Knowledge-Based specialist platforms (KBES); layout Synthesis; layout Critiquing; and Case-Based Reasoning. KBES are the most well-liked AI-based instruments and feature been effectively utilized to making plans, analysis, category, tracking, and layout difficulties. Case experiences are supplied with difficulties in engineering layout for higher figuring out of the problem-solving types utilizing the 4 methodologies in an built-in software program environment.Throughout the booklet, examples are given in order that scholars and engineers can gather abilities within the use of AI-based methodologies for program to sensible difficulties starting from prognosis to making plans, layout, and building and production in a number of disciplines of engineering.Artificial Intelligence and professional structures for Engineers is a must-have reference for college kids, lecturers, examine students, and execs operating within the region of civil engineering layout particularly and engineering layout more often than not.
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At the meta level also the knowledge engineer can select any strategy for reasoning. Inference with more than one rule base is illustrated with the three rule bases given in the previous section. Let the inference process start with the meta-level rule base and the strategy selected be backward chaining. The goal at the meta-level is ‘inference completed’. To prove this, the variable ‘floor system selection completed’ and either of the variables ‘beam depth ratio is required’ or ‘beam depth ratio is not required’ should evaluate to TRUE.
It so happened in the present case that in one iteration itself, the goal is established. In large rule bases, a number of iterations may be required before the goal is established. The order in which rules appear in the rule base plays a major role in the way inference is carried out in forward chaining, whereas such order does not play any role in backward chaining. But the order in which conditions are listed in a rule is important in backward chaining. The order in which questions are asked to the user for response depends on this order.
Also, different knowledge representation schemes can be adopted for developing one application. The knowledge engineer has to decide which portion of the knowlege should be represented in what form, depending on the nature of the knowledge and the efficiency of its use. The most common methods of knowledge representation are: 1. Predicate logic 2. Production rules 3. Frames (objects) and semantic networks 4. Conventional programs Predicate Logic Predicate logic provides mechanisms for representation of facts and reasoning based on syntactic manipulation of logic formulae.
Artificial intelligence and expert systems for engineers by C.S. Krishnamoorthy