Download e-book for iPad: Intelligent Agents III Agent Theories, Architectures, and by David Kinny, Michael Georgeff (auth.), Jörg P. Müller,

By David Kinny, Michael Georgeff (auth.), Jörg P. Müller, Michael J. Wooldridge, Nicholas R. Jennings (eds.)

ISBN-10: 3540625070

ISBN-13: 9783540625070

Intelligent brokers are computers which are able to versatile self reliant motion in dynamic, generally multi-agent domain names. over the last few years, the pc technology neighborhood has began to recognize that the expertise of clever brokers presents the foremost to fixing a variety of complicated software program program difficulties, for which conventional software program engineering instruments and strategies supply no solution.
This ebook, the 3rd in a sequence, represents the cutting-edge within the technological know-how of agent structures. it truly is in keeping with papers provided on the third workshop on Agent Theories, Architectures and Languages (ATAL'96), held at the side of the ecu convention on synthetic Intelligence (ECAI'96) in Budapest, Hungary, in August 1996. it really is crucial interpreting for an individual attracted to this very important new technology.

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Additional resources for Intelligent Agents III Agent Theories, Architectures, and Languages: ECAI'96 Workshop (ATAL) Budapest, Hungary, August 12–13, 1996 Proceedings

Example text

Rnp , rcpn )}) is the transformation information of a node n of tQ (see definition 8), {n1d , . , nld } is the list of deleted nodes2 of tQ in tA and {n1r , . , nqr } is the list of renamed nodes3 of tQ in tA . Moreover, tcA must be lower or equal to the maximum acceptable transformation cost tcmax of the query. Example 4. Figure 4 gives two examples of approximate queries generated from the query Q of figure 3. The first approximate query (left side) has been generated by renaming the node Amount to Attribute, the second one (right side) by deleting the node Amount.

4 Application The approximate query processing detailed below has been applied to the XML database of the MIEL++ system. 1 briefly presents the SML process which permits this database to be filled. 2 presents the implementation of the approximate query processing and first experimental results. 1 The XML Database Filling The XML database of the MIEL++ system is filled with data semi-automatically extracted from the Web. The search is focussed on pdf and html documents which contain data tables and concern the MIEL++ domain application.

The query in Figure 1 illustrates our supported fragment. 20 A. Arion et al. 4 Pattern Extraction Algorithms Our algorithm proceeds in two steps. 2 explain this translation. Second, algebraic equivalence and decomposition rules are applied to identify, in the resulting expressions, subexpressions corresponding to tree patterns. The algebraic rules are quite straightforward. The ability to recognize pattern subexpressions is due to the formal algebraic pattern semantics provided in a previous work [4].

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Intelligent Agents III Agent Theories, Architectures, and Languages: ECAI'96 Workshop (ATAL) Budapest, Hungary, August 12–13, 1996 Proceedings by David Kinny, Michael Georgeff (auth.), Jörg P. Müller, Michael J. Wooldridge, Nicholas R. Jennings (eds.)


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