By Max Bramer
This ebook constitutes the refereed lawsuits of the IFIP TC 12 synthetic Intelligence Stream held on the twentieth global desktop Congress in Milano, Italy, September 7-10, 2008.
The IFIP sequence publishes state of the art ends up in the sciences and applied sciences of data and verbal exchange. The scope of the sequence comprises: foundations of computing device technology; software program concept and perform; schooling; laptop purposes in expertise; conversation structures; platforms modeling and optimization; details platforms; pcs and society; computers expertise; protection and security in info processing structures; synthetic intelligence; and human-computer interplay. complaints and post-proceedings of refereed foreign meetings in laptop technology and interdisciplinary fields are featured. those effects frequently precede magazine ebook and signify the most up-tp-date examine. The imperative objective of the IFIP sequence is to motivate schooling and the dissemination and alternate of knowledge approximately all facets of computing.
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Additional info for Artificial Intelligence in Theory and Practice II: IFIP 20th World Computer Congress, TC 12: IFIP AI 2008 Stream, September 7-10, 2008, Milano, Italy (IFIP ... and Communication Technology) (No. II)
Figure 2 shows the disaster scenario; each opaque rectangle is a building and a small circle is positioned over B1 and B2 . The two larger ﬁlmy squares deﬁne the neighborhood border of B1 and B2 within a d distance (in meters). 000 m2 . d Fig. 2 Fire scenario in the buildings labeled B1 and B2 (the set of buildings contained within each building’s neighborhood, ngb( d ), is represented by NBi ,d ). 000 m2 To simplify we assume that: i) buildings use identical construction materials, ii) buildings are residential (neither ofﬁces nor industries inside the buildings), and iii) there are no civilians, caught by ﬁres, inside the buildings.
8. , “Mining Association Rules between Sets of Items in Large Databases”. In Proc. of ACM SIGMOD Conference on Management of Data, Washington DC, May 1993. 9. P. , “Algorithms for Computing Association Rules Using A Partial-Support Tree”. Proc. ES99, Springer, London, pp. 132-147, 1999. 10. P. , “ Tree Structures for Mining Association Rules”. Journal of Data Mining and Knowledge Discovery, Vol 8, No 1, pp. 25-51, 2004. 11. , “Scalable, Distributed Data Mining Using an Agent Based Architecture”.
The MASDK must be able to detect inconsistencies such as an agent who pursues a goal but the functionality of the agent does not allow it to achieve that goal. Furthermore, the MASDK notiﬁes when the modeling is incomplete (for example, when there is an objective that is not achieve for anyone). In the best cases, the application not only detects these mistakes, but also proposes solutions. Dynamic veriﬁcation. , the MASDK creates a simpliﬁed system prototype and test their behavior. - THE GAP BETWEEN METHODS AND DEVELOPMENT TOOL This section analyzes the gap between what is theoretically deﬁned in the method- On the evaluation of MAS development tools 39 ology and what can be modeled by the MASDK.
Artificial Intelligence in Theory and Practice II: IFIP 20th World Computer Congress, TC 12: IFIP AI 2008 Stream, September 7-10, 2008, Milano, Italy (IFIP ... and Communication Technology) (No. II) by Max Bramer