Escape from local minima for virtual agent navigation in unknown virtual environments

Jaafar, Jafreezal; McKenzie, Eric

doi:10.1049/cp:20070367

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2007

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“…A behaviour-based fuzzy controller and local minima algorithm has been developed in [3,4,5]. Therefore this paper focuses on a new fuzzy method for the action selection problem, which is based on fuzzy α-levels incorporated with the Huwicz criterion.…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy Action Selection Method for Virtual Agent Navigation in Unknown Virtual Environments

Jaafar

McKenzie

Smaill

2007

2007 IEEE International Fuzzy Systems Conference

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This paper presents an action selection method using fuzzy logic. The objective is to solve behaviour conflict in behaviour-based architectures for virtual agent navigation in unknown virtual environments. Two main problems have been identified: how to decide which behaviour should be activated at each instant; and how to combine the results from different behaviours into one action. The method uses fuzzy α-levels to compute behaviour weight for each behaviour and the final action is selected using the Huwicz criterion. The results clearly demonstrate the mapping of inputs to output with a near-optimum path in every navigation task.

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Section: Introductionmentioning

confidence: 99%