By Nikolaos Bourbakis (auth.), Grigoris Antoniou, George Potamias, Costas Spyropoulos, Dimitris Plexousakis (eds.)
This booklet constitutes the refereed complaints of the 4th Hellenic convention on synthetic Intelligence, SETN 2006, held at Heraklion, Crete, Greece in may well 2006.
The forty three revised complete papers and prolonged abstracts of 34 revised brief papers offered including 2 invited contributions have been conscientiously reviewed and chosen from a hundred twenty five submissions. The papers deal with any region of man-made intelligence; specific fields of curiosity comprise: good judgment programming, knowledge-based structures, clever details retrieval, computing device studying, neural nets, genetic algorithms, information mining and information discovery, hybrid clever platforms and techniques, clever brokers, multi-agent platforms, clever allotted structures, intelligent/natural interactivity, clever digital environments, making plans, scheduling, and robotics.
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Extra info for Advances in Artificial Intelligence: 4th Helenic Conference on AI, SETN 2006, Heraklion, Crete, Greece, May 18-20, 2006. Proceedings
Gr Abstract. A hardware architecture is presented, which accelerates the performance of intelligent applications that are based on logic programming. The logic programs are mapped on hardware and more precisely on FPGAs (Field Programmable Gate Array). Since logic programs may easily be transformed into an equivalent Attribute Grammar (AG), the underlying model of implementing an embedded system for the aforementioned applications can be that of an AG evaluator. Previous attempts to the same problem were based on the use of two separate components.
In any case, the Emotions and Drives component can be re-designed based on more sophisticated approaches without the need for modifications to other components, as explained before. The same also applies to the Planning component and various aspects of Sensors and Effectors, such as pathfinding, etc. In fact, one of the key A Framework for Uniform Development of Intelligent Virtual Agents 23 purposes of this framework is to act, in extended versions, as a testbed for various methodologies and technologies requiring co-operation with other components in order to generate believable IVA behaviours.
14 we can make some useful observations. e. πNi 1, and thus, following (t+1) Eq. 14, this site will be labeled as pattern (πi ≈ 1). e. πNi 1. Then, (t+1) according to Eq. 14, the new label value will be approximately πi ≈ βπ1N . i The larger the value of πNi , the smaller the update label values of πi . In this “overlapping” neighborhood only one pattern occurrence will be the most probable to survive, the one having the higher posterior value zi . On the other hand, when a substring xi has small posterior value of being a (t) (t+1) pattern (zi ≈ 0) it will continue to be labeled as background (πi ≈ 0), independently of its neighborhood Ni .
Advances in Artificial Intelligence: 4th Helenic Conference on AI, SETN 2006, Heraklion, Crete, Greece, May 18-20, 2006. Proceedings by Nikolaos Bourbakis (auth.), Grigoris Antoniou, George Potamias, Costas Spyropoulos, Dimitris Plexousakis (eds.)