By Raúl Monroy, Alan Bundy, Ian Green (auth.), Osvaldo Cairó, L. Enrique Sucar, Francisco J. Cantu (eds.)
Fifty years in the past, A. Turing expected that via 2000 we might have a laptop which can move the Turing attempt. even though this would possibly not but be actual, AI has complex signi?cantly in those 50 years, and on the sunrise of the XXI century continues to be an activeandchallenging?eld.Thisyearisalsosigni?cantforAIinMexico,withthe merging of the 2 significant AI meetings into the biennial Mexican foreign convention on Arti?cial Intelligence (MICAI) sequence. MICAI is the union of the Mexican nationwide AI convention (RNIA) and the overseas AI Symposium (ISAI), equipped every year through the Mexican Society forAI(SMIA,since1984)andbytheMonterreyInstituteofTechnology(ITESM, since1988),respectively.The?rstMexicanInternationalConferenceonArti?cial Intelligence, MICAI 2000, came about April 11-14, 2000, within the urban of Acapulco, Mexico.ThisconferenceseekstopromoteresearchinAI,andcooperationamong Mexican researchers and their friends world wide. We welcome you all. Over 163 papers from 17 di?erent nations have been submitted for attention to MICAI 2000. After reviewing them completely, MICAI’s software committee, referees, and software chair permitted 60 papers for the foreign song. This quantity includes the written model of the papers and invited talks offered at MICAI. we want to recognize the aid of the yank organization for Arti?cial Intelligence (AAAI), and the overseas Joint convention on paintings- cial Intelligence (IJCAI). we're especially thankful for the nice and cozy hospitality and generosity o?ered via the Acapulco Institute of Technology.
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Additional resources for MICAI 2000: Advances in Artificial Intelligence: Mexican International Conference on Artificial Intelligence, Acapulco, Mexico, April 11-14, 2000. Proceedings
Journal of Logic Programming, 38(1):55–77, 1999. 15. Bharat Jayaraman and K. Moon. Subset logic programs and their implementation. , 1999. 16. J¨ urgen Dix Jose Arrazola and Mauricio Osorio. Conﬂuent rewriting systems in non-monotonic reasoning. Computacion y Sistemas, Volume II, No. 2-3:104–123, 1999. 17. R. Kowalski. Logic for problem solving. North Holland Publishing Company, 1979. 18. R. Kowalski and F. Toni. Abstract Argumentation. Artiﬁcial Intelligence and Law Journal, pages 275–296, September 1996.
In IRBOC, CBR methods are used in two ways: firstly, by using contextual information about the user to modify and expand the query; and secondly, by taking advantage of previous search-sessions. CBR methods are used to create and maintain user-profile cases and generalised userprofile cases, which are used to expand the query with new keywords. Search-session cases and generalised search-session cases are used to suggest alternative queries to specific requests. UPCs are formed by associating the terms related to a specific user-id from the various context components.
Those new queries are obtained from previous similar ones stored in the search-session case base, by comparing the UPC and the Projects component with the GUPCs. 5 IRBOC in Action: An Example A postgraduate student with id ‘PG-015’ is looking for research documents about work carried out in AI applied to information retrieval. The user needs the information to find out what has been done in that area of research, and is particularly interested in working systems. The user has used the system before and the context components have been already defined as shown below.
MICAI 2000: Advances in Artificial Intelligence: Mexican International Conference on Artificial Intelligence, Acapulco, Mexico, April 11-14, 2000. Proceedings by Raúl Monroy, Alan Bundy, Ian Green (auth.), Osvaldo Cairó, L. Enrique Sucar, Francisco J. Cantu (eds.)