By Nikolaos Bourbakis (auth.), Grigoris Antoniou, George Potamias, Costas Spyropoulos, Dimitris Plexousakis (eds.)
This publication constitutes the refereed court cases of the 4th Hellenic convention on man made Intelligence, SETN 2006, held at Heraklion, Crete, Greece in may possibly 2006.
The forty three revised complete papers and prolonged abstracts of 34 revised brief papers awarded including 2 invited contributions have been conscientiously reviewed and chosen from one hundred twenty five submissions. The papers handle any quarter of synthetic intelligence; specific fields of curiosity comprise: common sense programming, knowledge-based platforms, 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 disbursed platforms, intelligent/natural interactivity, clever digital environments, making plans, scheduling, and robotics.
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Extra resources for Advances in Artificial Intelligence: 4th Helenic Conference on AI, SETN 2006, Heraklion, Crete, Greece, May 18-20, 2006. Proceedings
AGs have extensively been utilized in AI applications , , , ,  structural pattern recognition , , compiler construction , and even text editing . However, the additional complexity imposed by the added characteristics, along with the need for fast CF parsing by special applications, dictates the parallization of the whole procedure (parsing and attribute evaluation) as an attractive alternative to classical solutions. In this paper we present a new hardware implementation for AI applications, based on AGs.
Likewise, effectors are responsible for breaking-down symbolically represented action primitives received by the Action component and sending them to the world during an action operation. As the mental layer’s functionality is affected by Emotions and Drives, so is the virtual layer’s. A set of attributes representing physical properties affect reception of sensory information and the outcome of actions in a way that simulates the corresponding effect on an actual physical body. For instance, a “tiredness” attribute of increased value might cause a sensory operation to receive partial data simulating a living creature missing-out information when sensing its surrounding environment while being tired and, therefore, inattentive.
E. on the length of the produced AG. Our contribution in this work is summarized as follows: • We improved the parallel parsing architecture by eliminating the required processing elements by a factor of n (input string length) for the subset of AGs produced by PROLOG logic programs. • We divided the attribute evaluation process into two pieces so as to be executed in parallel on two separate processors, concurrently with the parsing task. An Efficient Hardware Implementation for AI Applications 37 • We mapped the whole implementation (two processors, parser, RAM) into a single component (FPGA).
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.)