Towards contextual goal-oriented perception for pedestrian simulation

Laure Bourgois (1) , Julien Saunier (1) , Jean Michel Auberlet (1)

1 IFSTTAR/LEPSIS - Laboratoire Exploitation, Perception, Simulateurs et Simulations

Perception is often seen in multiagent systems and in robotics from a passive point of view. The sensors of the agent collect information on its environment ; however the potentially important number of percepts is not realistic and may decrease the agents efficiency. In this article, we introduce a contextual goal-oriented perception filtering. Besides the lack of plausibility of omniscient agents, it addresses the problem of transmitting too much information to the agents. This goal-oriented perception module is evaluated model in terms of validity of the resulting behavior and of time complexity.

Mots clés: SIMULATION; ROBOTIQUE; PIETON; PERCEPTION SENSORIELLE

Domaines: Système multi-agents [cs.MA]

Laure Bourgois, Julien Saunier, Jean Michel Auberlet. Towards contextual goal-oriented perception for pedestrian simulation. ICAART 2012 : 4th International conference on Agents and Artificial Intelligence, Feb 2012, Portugal. 6p. ⟨hal-00878541⟩