{"product_id":"abductive-inference-models-for-diagnostic-problem-solving-symbolic-computation-0387973435","title":"Abductive Inference Models for Diagnostic Problem-Solving (Symbolic Computation)","description":"\u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 0387973435\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Peng, Yun\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e New\u003c\/p\u003e\u003cp\u003eMaking a diagnosis when something goes wrong with a natural or m- made system can be difficult. In many fields, such as medicine or electr- ics, a long training period and apprenticeship are required to become a skilled diagnostician. During this time a novice diagnostician is asked to assimilate a large amount of knowledge about the class of systems to be diagnosed. In contrast, the novice is not really taught how to reason with this knowledge in arriving at a conclusion or a diagnosis, except perhaps implicitly through ease examples. This would seem to indicate that many of the essential aspects of diagnostic reasoning are a type of intuiti- based, common sense reasoning. More precisely, diagnostic reasoning can be classified as a type of inf- ence known as abductive reasoning or abduction. Abduction is defined to be a process of generating a plausible explanation for a given set of obs- vations or facts. Although mentioned in Aristotle's work, the study of f- mal aspects of abduction did not really start until about a century ago.\u003c\/p\u003e","brand":"Mia Karts","offers":[{"title":"Default Title","offer_id":51856658268448,"sku":"NEW0387973435","price":92.06,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0980\/7426\/3840\/files\/610B6PC9-aL.jpg?v=1781550691","url":"https:\/\/miakarts.com\/products\/abductive-inference-models-for-diagnostic-problem-solving-symbolic-computation-0387973435","provider":"Miakarts Books","version":"1.0","type":"link"}