Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Speeding up moving-target search
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
Intuitionistic Fuzzy Sets: Theory and Applications
Intuitionistic Fuzzy Sets: Theory and Applications
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Navigation in unknown environments is a hot topic for virtual and real mobile agents' (robots) application in exploration of hazardous places on the Earth or other planets investigation in the space where the utilization of GPS systems or high-resolution geographical maps is not available. The paper will give a concept for uncertainty treating in an unknown environment, which implements the Intuitionistic Fuzzy Sets (IFS) concept into a multi-agent system of mobile agents (robots). We will show an idea of how to create a map of an unknown environment, evaluated in terms of IFS, which is used for path-planning of mobile agents and uncertainty copying that produce an assumption of safe path existing, obtained via the algorithm A* applied over a virtual grid-world. Additionally, an option for possible correction of the map uncertainty in case of A* path-plan failure with the help of the operator Fα,β, defined over IFS will be discussed.