Multicriterial decision making in multiagent systems: limitations and advantages of state representation of behavior
Petr Tučník · 2010
This paper is focused on use of state representation of behavior for agents using multicriterial decision making as their control mechanism. Use of this approach requires modifications in description of the problem and agent's environment. One of possible ways to provide necessary information to an agent, to ensure it will perform its function correctly is to establish a state representation of the environment. There are both limitations and advantages resulting from this approach which will be discussed in this paper. We will focus on the area of ambient intelligence, as intended application domain of our agents.