The artificial ecosystem: A multiagent architecture

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2690, Issue , 2004, Pages 52-59

  Miozzo, Maurizio ^a   Sgorbissa, Antonio ^a   Zaccaria, Renato ^a  

^a UNIVERSITY OF GENOA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATION; ENGINEERING EDUCATION; MULTI AGENT SYSTEMS; ROBOTICS; ROBOTS; SOFTWARE AGENTS;

ARTIFICIAL ECOSYSTEMS; DISTRIBUTED APPROACHES; EMERGENCY SITUATION; INTELLIGENT DEVICES; INTELLIGENT ENVIRONMENT; INTELLIGENT SENSORS; MULTIAGENT ARCHITECTURE; REAL-TIME SOFTWARE;

INTELLIGENT ROBOTS;

EID: 35048829366     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Article

References (8)

1. Brooks, R. (1986). A Robust Layered Control System for a mobile robot, IEEE J. of Robotics and Automation, RA-21
2. Parker, L. E. (1998) ALLIANCE: An Architecture for Fault Tolerant Multi-Robot Cooperation, IEEE Transactions on Robotics and Automation, 14 (2)
3. Arkin, R. C. (1990). Motor Schema-Based Mobile Robot Navigation, International Journal of Robotics Research.
4. Gat, E. (1992) Integrating Planning and Reacting in a Heterogeneous Asynchronous Architecture for Controlling Real-World Mobile Robots, Proceedings of the National Conference on Artificial Intelligence (AAAI).
5. Burgard, W., Cremers, A.B., Fox, D., Hähnel, D., Lakemeyer, G., Schulz, D., Steiner, W., and Thrun., S. (2000). Experiences with an interactive museum tour-guide robot, Artificial Intelligence (AI), 114 (1-2),
6. Russell, S. and Norvig, P. Artificial Intelligence: A Modern Approach. Prentice Hall, Englewood Cliffs, NJ, 1995.
7. Piaggio, M., Sgorbissa, A., Zaccaria, R. (2000). Pre-emptive Versus Non Pre-emptive Real Time Scheduling in Intelligent Mobile Robotics. Journal of Experimental and Theoretical Artificial Intelligence, (12)2.
8. Piaggio, M., Zaccaria, R. (1997), An Autonomous System for a Vehicle Navigating in a Partially or Totally Unknown Environment, Proc. Int. Workshop on Mechatronical Computer Systems for Perception and Action MCPA, Pisa, Italy.