TITLE: Case-by-case Problem Solving (draft) AUTHOR: Pei Wang
ABSTRACT: Case-by-case Problem Solving is an approach in which the system solves the current occurrence of a problem instance by taking the available knowledge into consideration, under the restriction of available resources. It is different from the traditional Algorithmic Problem Solving in which the system applies a given algorithm to each problem instance. Case-by-case Problem Solving is suitable for situations where the system has no applicable algorithm for a problem. This approach gives the system flexibility, originality, and scalability, at the cost of predictability. This paper introduces the basic notion of case-by-case problem solving, as well as its most recent implementation in NARS, an AGI project. URL: http://nars.wang.googlepages.com/wang.CaseByCase.pdf ------------------------------------------- agi Archives: https://www.listbox.com/member/archive/303/=now RSS Feed: https://www.listbox.com/member/archive/rss/303/ Modify Your Subscription: https://www.listbox.com/member/?member_id=8660244&id_secret=114414975-3c8e69 Powered by Listbox: http://www.listbox.com
