TY  - CHAP
AU  - Davide Bacciu
AU  - Andrea Bellandi
AU  - Barbara Furletti
AU  - Valerio Grossi
AU  - Andrea Romei
ED  - Jesus Aramburo 
ED  - Antonio Ramirez Trevino
Y1  - 2008-10-01
PY  - 2008
T1  - Discovering Strategic Behaviors in Multi-Agent Scenarios by Ontology-Driven Mining
N2  - The book presents an excellent overview of the recent developments in the different areas of Robotics, Automation and Control. Through its 24 chapters, this book presents topics related to control and robot design; it also introduces new mathematical tools and techniques devoted to improve the system modeling and control. An important point is the use of rational agents and heuristic techniques to cope with the computational complexity required for controlling complex systems. Through this book, we also find navigation and vision algorithms, automatic handwritten comprehension and speech recognition systems that will be included in the next generation of productive systems developed by man.
BT  - Advances in Robotics, Automation and Control
SP  - Ch. 10
UR  - https://doi.org/10.5772/5529
DO  - 10.5772/5529
SN  - 
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-19
ER  -