Read e-book online Artificial Intelligence and Simulation PDF

By Tag G. Kim

ISBN-10: 354024476X

ISBN-13: 9783540244769

ISBN-10: 3540305831

ISBN-13: 9783540305835

This e-book constitutes the refereed post-proceedings of the thirteenth foreign convention on AI, Simulation, and making plans in excessive Autonomy platforms, AIS 2004, held in Jeju Island, Korea in October 2004. The seventy four revised complete papers awarded including 2 invited keynote papers have been conscientiously reviewed and chosen from a hundred and seventy submissions; after the convention, the papers went via one other around of revision. The papers are equipped in topical sections on modeling and simulation methodologies, clever keep watch over, laptop and community protection, HLA and simulator interoperation, production, agent-based modeling, DEVS modeling and simulation, parallel and dispensed modeling and simulation, cellular computing device networks, Web-based simulation and traditional structures, modeling and simulation environments, AI and simulation, component-based modeling, watermarking and semantics, snap shots, visualization and animation, and company modeling.

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To answer a query we have to run the entire system until we complete the simulation of the action sequence. Along the way a lot of computation is done to produce state updates on objects that cannot possibly aid in answering the query. Likewise, if we use simulation to devise plans, we either have to re-run the system many times, or else find ways to meta-program the system to discover action sequences that achieve the desired configuration. The lesson from this is: In query answering or planning, use AI logics when possible.

0103j. 1423 that is smaller than That is, holds. 01 by the ZOH method. 0049]. 0070j. 9946±0100j. 0096j. 1431 that is smaller than That is, holds. 01. 4938]. 0042j. 1401 that is smaller than That is, holds. 01. 5]. 7020j. 0040j. 1344 that is smaller than That is, holds. 4 shows that the error bound between the exact and approximate solutions is satisfied for all the four kinds of models, and that the unified solutions using the have less error than the discrete solution. 4, the solution of the discrete-like unified model becomes the same as that of the continuous model as sampling interval approaches zero.

The other terms are part of our attempt to re-work and refine the original Zeigler concepts to accommodate AI perspectives to meld similar notions in MaS and AI. It is critical at the outset to clarify the terms model and theory. According to traditional scientific usage, a model is some formal “mirror” of a portion of the external world, and often comes with some inferential machinery. Unfortunately, this is also exactly what is called a theory in AI, a convention2 adopted from mathematical logic.

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Artificial Intelligence and Simulation by Tag G. Kim


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