Title :
Prey-predator strategies in a multiagent system
Author :
Lenzitti, B. ; Tegolo, D. ; Valenti, C.
Author_Institution :
Dipt. di Matematica e Applicazioni, Palermo Univ., Italy
Abstract :
This paper describes the prey-predator multiagent system which can be considered as an abstraction of more complex real-world models. Both the prey and the predators are considered as autonomous agents with their own behaviors and perception of the environment. In particular, we propose a simulator which lets study different strategies such as cooperation and individualism. An extensive experiment has been carried out in order to prove the effectiveness of the latter.
Keywords :
digital simulation; multi-agent systems; autonomous agents; multiagent system; prey-predator strategies; Artificial intelligence; Autonomous agents; Buildings; Collaboration; Intelligent agent; Intelligent robots; Multiagent systems; Navigation; Sonar; Traffic control;
Conference_Titel :
Computer Architecture for Machine Perception, 2005. CAMP 2005. Proceedings. Seventh International Workshop on
Print_ISBN :
0-7695-2255-6
DOI :
10.1109/CAMP.2005.42