Telepresence is constituted of a robotic system controlled by a human operator at a remote control station. In these systems the human operator is immerse in a virtual reality and the robot is controlled at distance by human operator. Often the human operator has that repeat tasks through robot. In this article we propose that the telepresence can use semi-autonomous (semi-reactive) robots, that execute the tasks that the operator repeats often, However, to create a relationship between the human operator and the semi-autonomous (semi-reactive) robot, it is necessary to develop a logic that combines the knowledge of the reactive robot and the knowledge of the human operator. On the other hand, in the last years we have seen the possibility to structure virtual worlds with Fuzzy Cognitive Maps. These maps can model virtual worlds with numerous actors. Moreover these FCMs can combine different virtual worlds. In this article we introduce a multi-agent modal logic of knowledge and belief that can be used in design of telep resence with semi-reactive robots. In this logic we describe possible worlds (“states of nature”) by fuzzy cognitive maps.
Learning Fuzzy Cognitive Maps using Structure Optimization Genetic Algorithm