Towards contextual goal-oriented perception for pedestrian simulation
| Autor: | Bourgois, L., Saunier, J., jean-michel auberlet |
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| Přispěvatelé: | Laboratoire Exploitation, Perception, Simulateurs et Simulations (IFSTTAR/LEPSIS), Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Université Paris-Est Marne-la-Vallée (UPEM) |
| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: | |
| Zdroj: | ICAART 2012 : 4th International conference on Agents and Artificial Intelligence ICAART 2012 : 4th International conference on Agents and Artificial Intelligence, Feb 2012, Portugal. 6p Scopus-Elsevier |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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