By Max Bramer
This publication constitutes the refereed court cases of the IFIP TC 12 synthetic Intelligence Stream held on the twentieth global computing device 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 conversation. The scope of the sequence contains: foundations of laptop technological know-how; software program thought and perform; schooling; desktop functions in expertise; verbal exchange structures; structures modeling and optimization; details structures; pcs and society; desktops know-how; safeguard and security in info processing platforms; man made intelligence; and human-computer interplay. lawsuits and post-proceedings of refereed overseas meetings in machine technological know-how and interdisciplinary fields are featured. those effects frequently precede magazine book and characterize the most up-tp-date study. The critical objective of the IFIP sequence is to motivate schooling and the dissemination and trade of data approximately all elements of computing.
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Additional resources 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)
IMPLEMENTATION FACILITIES Graphical interfaces It represents the possibility to generate graphical interfaces using the MASDK. , the development of system that are going to be executed in limited devices like mobile phones. Real time control Some application need real time control, so it must be supplied for the MASDK. Security issues The MASDK can provide security mechanism to ensure that agents are not malicious and do not damage other agents, that their agents are not be damaged and has to avoid the interception or corruption of messages.
TECHNICAL ISSUES OF THE MASDK The IDK has been implemented in Java, because of that it is multiplatfom. A new functionality module can be added to the IDK easily. The IDK is not very intuitive, but it does not require much time to learn it. The documentation of Ingenias and of its IDK is complete and some validated examples are provided with the IDK. Despite this, the examples are not completely developed and some of them have modeling mistakes. - ECONOMICAL ASPECTS Ingenias is an academical work developed in the Grasia!
Proc. of the Seventh International Workshop on Research Issues in Data Engineering, pp. 111-120, 1997. 2. Aggarwal, C. C. and Yu, P. , “A Condensation Approach to Privacy Preserving Data Mining”. Lecture Notes in Computer Science, Vol. 2992, pp. 183-199, 2004 3. , “An Introduction to Multi-Agent Systems”. John Wiley and Sons Ltd, paperback, 366 pages, ISBN 0-471-49691-X, 2002. 4. , Prodromidis, A. , Tselepis, S. , “JAM: Java Agents for Meta-Learning over Distributed Databases”. Proc. of the International Conference on Knowledge Discovery and Data Mining, pp.