By Max Bramer
This ebook constitutes the refereed court cases 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 communique. The scope of the sequence comprises: foundations of machine technological know-how; software program idea and perform; schooling; machine purposes in know-how; verbal exchange platforms; platforms modeling and optimization; info platforms; desktops and society; desktops know-how; defense and defense in info processing platforms; synthetic intelligence; and human-computer interplay. court cases and post-proceedings of refereed foreign meetings in laptop technology and interdisciplinary fields are featured. those effects frequently precede magazine ebook and characterize the most up-tp-date learn. The valuable objective of the IFIP sequence is to motivate schooling and the dissemination and alternate of knowledge approximately all elements of computing.
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Extra 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)
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. We also assume that agents get informed about the ﬁres the moment it starts; we are not concerned on how (through which communication channel) the agent gets such information.
1. Meta ARM Model Architecture In this framework, agents are responsible for accessing local data sources and for collaborative data analysis. The architecture includes: (i) data mining agents, (ii) data agents, (iii) task agents, (iv) user agents, and (v) mediators (JADE agents) for agents coordination. The data and mining agents are responsible for data accessing and carrying through the data mining process; these agents work in parallel and share information through the task agent. The task agent co-ordinates the data mining operations, and presents results to the user agent.
5 Experimentation and Analysis To evaluate the ﬁve Meta ARM algorithms, in the context of EMADS vision, a number of experiments were conducted. These are described and analysed in this section. The experiments were designed to analyse the effect of the following: 1. The number of data sources (data agents) . 2. The size of the datasets (held at data agents) in terms of number of records. 3. The size of the datasets (held at data agents) in terms of number of attributes. 18 running under Linux except for the ﬁrst experiment where two further computers running under Windows XP were added.