New Frontiers in Artificial Intelligence: JSAI-isAI 2009 Workshops, LENLS, JURISIN, KCSD, LLLL, Tokyo, Japan, November 19-20, 2009, Revised S by Kumiyo NakakojiNew Frontiers in Artificial Intelligence: JSAI-isAI 2009 Workshops, LENLS, JURISIN, KCSD, LLLL, Tokyo, Japan, November 19-20, 2009, Revised S by Kumiyo Nakakoji

New Frontiers in Artificial Intelligence: JSAI-isAI 2009 Workshops, LENLS, JURISIN, KCSD, LLLL…

byKumiyo NakakojiEditorYohei Murakami, Eric McCready

Paperback | August 11, 2010

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JSAI (The Japanese Society for Arti?cial Intelligence) is a premier academic society that focuses on arti?cial intelligence in Japan and was established in 1986.JSAIpublishesjournalsoftheJSAIandbimonthlytransactions,andhosts 19 special interest groups. The JSAI annual conference attracts several hundred attendees each year. JSAI-isAI (JSAI International Symposia on Arti?cial Intelligence) 2009 was the First International Symposium, which hosted three co-located international workshops and one satellite workshop that had been selected by the JSAI-isAI 2009OrganizingCommittee.Thisisinsuccessiontotheinternationalworkshops co-located with the JSAI annual conferences since 2001. JSAI-isAI 2009 was successfully held during November 19-20 in Tokyo, Japan; 158 people from 16 countries participated in JSAI-isAI 2009. Thisvolumeof"NewFrontiersinArti?cialIntelligence:JSAI-isAI2009Wo- shops" is the proceedings of JSAI-isAI 2009. The organizers of the four wo- shops, LENLS, JURISIN, KCSD, and LLLL, hosted by JSAI-isAI 2009,selected 24 papers out of 61 presentations. This has resulted in the excellent selection of papersthat arerepresentativeof someof the topics of AI researchboth in Japan and in other parts of the world.
Title:New Frontiers in Artificial Intelligence: JSAI-isAI 2009 Workshops, LENLS, JURISIN, KCSD, LLLL…Format:PaperbackDimensions:374 pagesPublished:August 11, 2010Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3642148875

ISBN - 13:9783642148873

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Table of Contents

Juris-Informatics.- Third International Workshop on Juris-Informatics.- Using BATNAs and WATNAs in Online Dispute Resolution.- Thai Succession and Family Law Ontology Building Using Ant Colony Algorithm.- Reflective Visualization of the Agreement Quality in Mediation.- Implementing Temporal Defeasible Logic for Modeling Legal Reasoning.- Evaluating Cases in Legal Disputes as Rival Theories.- Law-Aware Access Control: About Modeling Context and Transforming Legislation.- Knowledge Collaboration in Software Development.- 3rd International Workshop on Supporting Knowledge Collaboration in Software Development (KCSD2009).- On the Central Role of Mailing Lists in Open Source Projects: An Exploratory Study.- A Proposal of TIE Model for Communication in Software Development Process.- Identifying the Concepts That Are Searchable with Keywords in Code Search Engines.- On the Use of Emerging Design as a Basis for Knowledge Collaboration.- A Time-Lag Analysis for Improving Communication among OSS Developers.- Comparison of Coordination Communication and Expertise Communication in Software Development: Motives, Characteristics, and Needs.- Logic and Engineering of Natural Language Semantics.- 6th International Workshop on Logic and Engineering of Natural Language Semantics (LENLS 6).- Representing Covert Movements by Delimited Continuations.- Problems with Intervention and Binding into Relations.- A Translation from Logic to English with Dynamic Semantics.- Semantics of Possibility Suffix "(Rar)e".- An Adaptive Logic for the Formal Explication of Scalar Implicatures.- Two Kinds of Procedural Semantics for Privative Modification.- On the Nature and Formal Analysis of Indexical Presuppositions.- Non-standard Uses of German 1st Person Singular Pronouns.- Learning with Logics and Logics for Learning.- The Sixth Workshop on Learning with Logics and Logics for Learning (LLLL2009).- Inferability of Unbounded Unions of Certain Closed Set Systems.- Mining Frequent k-Partite Episodes from Event Sequences.- Learning from Positive Data Based on the MINL Strategy with Refinement Operators.- Computing Minimal Models by Positively Minimal Disjuncts.