By Tomas Plch, Tomas Jedlička, Cyril Brom (auth.), Frank Dignum, Cyril Brom, Koen Hindriks, Martin Beer, Deborah Richards (eds.)
This booklet constitutes the refereed post-proceedings of the 1st foreign Workshop on Cognitive brokers for digital Environments, CAVE 2012, held at AAMAS 2012, in Valencia, Spain, in June 2012. the ten complete papers offered have been completely reviewed and chosen from 14 submissions. furthermore one invited top of the range contribution has been integrated. The papers are equipped within the following topical sections: coupling brokers and video game engines; utilizing video games with brokers for schooling; visualization and simulation; and comparing video games with agents.
Read Online or Download Cognitive Agents for Virtual Environments: First International Workshop, CAVE 2012, Held at AAMAS 2012, Valencia, Spain, June 4, 2012, Revised Selected Papers PDF
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Additional info for Cognitive Agents for Virtual Environments: First International Workshop, CAVE 2012, Held at AAMAS 2012, Valencia, Spain, June 4, 2012, Revised Selected Papers
182, 201–217 (2007) 38. Jive Software. pdf (retrieved November 09, 2012) 39. : Kestrel: an XMPP-based framework for many task computing applications. In: Proceedings of the 2nd Workshop on ManyTask Computing on Grids and Supercomputers, MTAGS 2009, pp. 11:1–11:6. ACM, New York (2009) 40. In-Band Real Time Text. Xep-301: In-band real time text. pdf (retrieved April 16, 2012) 41. : CIGA: A Middleware for Intelligent Agents in Virtual Environments. In: Proceedings of the 3rd International Workshop on the uses of Agents for Education, Games and Simulations (2011) 42.
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E. only this agent directly controls the vehicle), (ii) a driver agent responsible for achieving goals such as moving to a destination, and (iii) a convoy agent responsible for managing vehicle behaviour in convoy formations. requestTurnToAngle(A). moveToKnownPosition (which is dependent on desiredXZ(X,Z) ). Finally, the convoy agent provides control largely based on belief updates about the car it is following, which in turn leads to requests for actions by the driver agent such as desiredXZ(X,Z) (which X,Z is the location of the vehicle being followed) and speedUp or slowDown to maintain convoy spacing.