{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,1,31]],"date-time":"2024-01-31T17:47:13Z","timestamp":1706723233479},"reference-count":7,"publisher":"Hindawi Limited","license":[{"start":{"date-parts":[[2012,10,31]],"date-time":"2012-10-31T00:00:00Z","timestamp":1351641600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Advances in Artificial Intelligence"],"published-print":{"date-parts":[[2012,10,31]]},"abstract":"<jats:p>This paper (Revised version of a white paper \u201cUnsupervised Problem-Solving by Optimising through Comparisons,\u201d originally published on DCS and Scribd, October 2011.) describes the implementation and functionality of a centralised problem solving system that is included as part of the distributed \u201clicas\u201d system. This is an open source framework for building service-based networks, similar to what you would do on a Cloud or SOA platform. While the framework can include autonomous and distributed behaviour, the problem-solving part can perform more complex centralised optimisation operations and then feed the results back into the network. The problem-solving system is based on a novel type of evaluation mechanism that prefers comparisons between solution results, over maximisation. This paper describes the advantages of that and gives some examples of where it might perform better, including possibilities related to a more cognitive system.<\/jats:p>","DOI":"10.1155\/2012\/790485","type":"journal-article","created":{"date-parts":[[2012,10,31]],"date-time":"2012-10-31T21:01:41Z","timestamp":1351717301000},"page":"1-8","source":"Crossref","is-referenced-by-count":3,"title":["A Stochastic Hyperheuristic for Unsupervised Matching of Partial Information"],"prefix":"10.1155","volume":"2012","author":[{"given":"Kieran","family":"Greer","sequence":"first","affiliation":[{"name":"Distributed Computing Systems, Belfast, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"98","reference":[{"key":"17","doi-asserted-by":"publisher","DOI":"10.1109\/4235.873238"},{"key":"9","first-page":"1157","volume":"3","year":"1993","journal-title":"Journal of Machine Learning Research"},{"issue":"1-2","key":"3","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1016\/S0004-3702(97)00063-5","volume":"97","year":"1997","journal-title":"Artificial Intelligence"},{"issue":"1-2","key":"10","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1016\/S0004-3702(97)00043-X","volume":"97","year":"1997","journal-title":"Artificial Intelligence"},{"key":"16","volume-title":"Relevance feedback in information retrieval","year":"1971"},{"key":"5","volume-title":"An kNN model-based approach and its application in text categorization","year":"2004"},{"issue":"3","key":"6","first-page":"378","volume":"5","year":"2011","journal-title":"NAUN International Journal of Computers"}],"container-title":["Advances in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/archive\/2012\/790485.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/archive\/2012\/790485.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/archive\/2012\/790485.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T05:04:09Z","timestamp":1607576649000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/aai\/2012\/790485\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,10,31]]},"references-count":7,"alternative-id":["790485","790485"],"URL":"https:\/\/doi.org\/10.1155\/2012\/790485","relation":{},"ISSN":["1687-7470","1687-7489"],"issn-type":[{"value":"1687-7470","type":"print"},{"value":"1687-7489","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,10,31]]}}}