{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,10,25]],"date-time":"2023-10-25T00:36:53Z","timestamp":1698194213324},"reference-count":0,"publisher":"World Scientific Pub Co Pte Lt","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Artif. Intell. Tools"],"published-print":{"date-parts":[[1992,6]]},"abstract":"<jats:p> Conventional Expert System Shells do not help in developing AI programs for large applications like automated factories, which require multi-disciplinary knowledge and which are geographically distributed. To support these applications, a shell must provide tools for a knowledge-based system to (i) reason about the need for cooperation, (ii) understand global knowledge to locate relevant expert systems and (iii) select appropriate cooperation plans. Contemporary approaches like Blackboard [1], Contract-net [2] and Distributed problem solving [3] help in exploring alternative cooperation plans without any reasoning about the need for cooperation and understanding of global knowledge. Coop [4] support cooperation models to characterize three essential decisions in the cooperation process. It provides a computational method to decide if an expert system needs to consult with other expert systems. We provide techniques select appropriate cooperation plans. <\/jats:p>","DOI":"10.1142\/s0218213092000181","type":"journal-article","created":{"date-parts":[[2004,11,24]],"date-time":"2004-11-24T03:29:42Z","timestamp":1101266982000},"page":"175-204","source":"Crossref","is-referenced-by-count":2,"title":["COOP: A SELF-ASSESSMENT BASED APPROACH TO COOPERATING EXPERT SYSTEMS"],"prefix":"10.1142","volume":"01","author":[{"given":"SHASHI","family":"SHEKHAR","sequence":"first","affiliation":[{"name":"Computer Science Department, University of Minnesota, Minneapolis, MN 55455, USA"}]},{"given":"C. V.","family":"RAMAMOORTHY","sequence":"additional","affiliation":[{"name":"Computer Science Division, University of California, Berkeley, CA 94720, USA"}]}],"member":"219","published-online":{"date-parts":[[2012,1,25]]},"container-title":["International Journal on Artificial Intelligence Tools"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218213092000181","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T23:10:51Z","timestamp":1565133051000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218213092000181"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1992,6]]},"references-count":0,"journal-issue":{"issue":"02","published-online":{"date-parts":[[2012,1,25]]},"published-print":{"date-parts":[[1992,6]]}},"alternative-id":["10.1142\/S0218213092000181"],"URL":"https:\/\/doi.org\/10.1142\/s0218213092000181","relation":{},"ISSN":["0218-2130","1793-6349"],"issn-type":[{"value":"0218-2130","type":"print"},{"value":"1793-6349","type":"electronic"}],"subject":[],"published":{"date-parts":[[1992,6]]}}}