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21st International Conference on Knowledge - Based and Intelligent Information and Engineering Systems (KES)

作者： Brondani, Juliana R. de Freitas, Edison P. Silva, Luis A. L. Univ Fed Rio Grande do Sul Grad Program Elect Engn Av Paulo Gama 110 BR-90040060 Porto Alegre RS Brazil Univ Fed Santa Maria Grad Program Comp Sci Av Roraima 1000 BR-97105900 Santa Maria RS Brazil

Agent behaviors in simulation systems are related to fundamental capabilities of realistically developing (semi) autonomous navigation actions. This is particularly important when dealing with the implementation of Computer Generated Forces (CGFs) for simulation systems in tactical military training applications. Moreover, these systems take into consideration the particularities of the domain-specific simulation tasks and the numerous heterogeneous CGFs inserted on them in order to generate better knowledge and learning experience to simulation system users. Based on these reasons, this paper reviews recurrent navigation problems as to propose a task-oriented and parameterized (semi) autonomous navigation framework to deal with CGF navigation needs in military simulation. Combining global and local navigation techniques, and controlled transition between alternative degrees of navigation autonomy, the framework aims to overcome the challenges of implementing customizable CGF navigation behaviors and, at the same time, to allow interaction with both users and other simulation systems in distributed simulation settings. A case study is presented in which the proposed techniques are analyzed in a domain-specific simulation problem providing evidence of their suitability to address the studied military simulation problems. (C) 2017 The Authors. Published by Elsevier B.V.

关键词： Navigation problems task-oriented navigation semi-autonomous algorithms simulation systems

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A task-oriented and parameterized (semi) autonomous navigation framework for the development of simulation systems

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Procedia Computer Science 2017年 112卷 534-543页

作者： Juliana R. Brondani Edison P. de Freitas Luis A.L. Silva Graduate Program in Electrical Engineering Federal University of Rio Grande do Sul Av. Paulo Gama 110 Porto Alegre 90040-060 Brazil Graduate Program in Computer Science Federal University of Santa Maria“ Av. Roraima 1000 Santa Maria 97105-900 Brazil

关键词： Navigation problems task-oriented navigation semi-autonomous algorithms simulation systems

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