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By Luís Paulo Reis, Fernando Almeida, Luís Mota, Nuno Lau (auth.), Joaquim Filipe, Ana Fred (eds.)

This publication constitutes the completely refereed post-conference court cases of the 4th foreign convention on brokers and synthetic Intelligence, ICAART 2012, held in Vilamoura, Portugal, in February 2012. The 28 revised complete papers offered including one invited paper have been rigorously reviewed and chosen from 292 submissions. The papers are equipped in topical sections on man made intelligence and on agents.

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Additional resources for Agents and Artificial Intelligence: 4th International Conference, ICAART 2012, Vilamoura, Portugal, February 6-8, 2012. Revised Selected Papers

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4. The behavior of the controller is specified by the algorithm shown at Fig. 4(b). When the controller is invoked, it first constructs an initial planning state based on the given task list and invokes the planner (lines 1-2). , a planning state that contains a complete plan), then the controller directly forwards the generated plan to the executor. , a planning state that only contains a partial plan), then the controller performs a prefix of the already generated plan, chooses the knowledge acquisition with the minimum expected cost, performs the corresponding knowledge acquisition task, and continues to perform the overall tasks.

The average number of planning and execution phases increases with a decreasing number of initial information, since the agent needs to stop the planning process and execute knowledge acquisition activities more often. We also expected the overall CPU time of the reasoning and planning process to increase for all domains with a decreasing amount of initial knowledge. However, Fig. 6(b) shows that this is only true for the rover, the office and the restaurant domain. The blocks and the depots domain show a different behavior.

Dynamic Positioning Based on Voronoi Cells (DPVC). , Takahashi, Y. ) RoboCup 2005. LNCS (LNAI), vol. 4020, pp. 219–229. Springer, Heidelberg (2006) 78. : Multi-agent Positioning Mechanism in the Dynamic Environment. , Dellaert, F. ) RoboCup 2007: Robot Soccer World Cup XI. LNCS (LNAI), vol. 5001, pp. 377–384. Springer, Heidelberg (2008) 79. : The CMUnited-98 Champion Simulator Team. , Kitano, H. ) RoboCup 1998. LNCS (LNAI), vol. 1604, pp. 61–76. Springer, Heidelberg (1999) 80. : While the Ball in the Digital Soccer is Rolling, Where the NonPlayer Characters Should go in a Defensive Situation?

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