Jakub Gemrot, Rudolf Kadlec, Michal Bída (auth.), Frank's Agents for Games and Simulations: Trends in Techniques, PDF

By Jakub Gemrot, Rudolf Kadlec, Michal Bída (auth.), Frank Dignum, Jeff Bradshaw, Barry Silverman, Willem van Doesburg (eds.)

ISBN-10: 3642111971

ISBN-13: 9783642111976

ISBN-10: 364211198X

ISBN-13: 9783642111983

Research on multi-agent platforms has supplied a promising know-how for imposing cognitive clever non-playing characters. besides the fact that, the applied sciences utilized in online game engines and multi-agent systems aren't with no trouble appropriate as a result of a few inherent changes in matters. the place video game engines specialize in real-time elements and therefore propagate potency and primary regulate, multi-agent structures suppose autonomy of the brokers. elevated autonomy and intelligence may well supply advantages for a extra compelling gameplay and should also be priceless for critical video games. notwithstanding, difficulties ensue whilst present online game layout innovations are used to include cutting-edge multi-agent process expertise. a really related argument will be given for agent-based (social) simulation.

This quantity comprises the papers offered at AGS 2009, the 1st foreign Workshop on brokers for video games and Simulations, held in Budapest on may well eleven, 2009. the point of interest of the workshop was once at the specific demanding situations dealing with these utilizing agent expertise for video games and simulations, with subject matters masking the technical, conceptual and layout points of the field.

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Additional info for Agents for Games and Simulations: Trends in Techniques, Concepts and Design

Example text

Depending on the airplane type, each entity uses a precise flight model based on the BADA airplane performance models [17]. The distribution of the number of airplanes during the simulation day time is depicted in Figure 3. Note that there are significant peaks every half an hour of the simulation time; these peaks lead to extreme load of the system with more than 300 airplanes created at one simulation cycle in the highest peak of the day. For each such a newly created airplane, a corresponding situated entity needs to be spawned and the computation-intensive flight trajectory planning and flight control algorithms executed.

E applying of relevant difference equations) corresponding to all entities located within the partition. The application of intra-physics may require exchange of state information between multiple partitions, in case the entities it affects are not located within the same partition. In contrast with the state updaters, entity’s deliberative control modules are deployed in the simulation grid (computer nodes) irrespective of the partitions and corresponding entity’s position in the virtual world. The above virtual world partitioning implies that whenever the location of an entity changes so that the entity moves (spatially) to a new partition, the entity’s state updater needs to be migrated to ESC responsible for the new partition.

A primitive mst ψ, typically denoted by ρ and constructed from an update operator ∈ Ui and a formula ψ ∈ Li , refers to an update on the state of the corresponding KR module. Conditional mst’s are of the form ϕ −→ τ , where ϕ is a query and τ is a mst. Such a conditional mst makes the application of τ depend on the evaluation of ϕ. Syntactic constructs for combining mst’s are: non-deterministic choice | and sequence ◦. Definition 1 (mental state transformer). Let M1 , . . , Mn be KR modules of the form Mi = (Si , Li , Qi , Ui ).

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Agents for Games and Simulations: Trends in Techniques, Concepts and Design by Jakub Gemrot, Rudolf Kadlec, Michal Bída (auth.), Frank Dignum, Jeff Bradshaw, Barry Silverman, Willem van Doesburg (eds.)


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