Developing a Deterministic Patrolling Strategy for Security Agents

Developing autonomous systems that patrol environments for detecting intruders is a topic of increasing relevance in security applications. An important aspect of these systems is the patrolling strategy; namely, the determination of where to move in order to conveniently detect intrusions. While a...

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Bibliographic Details
Published in:	Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02 Vol. 2; pp. 565 - 572
Main Authors:	Basilico, Nicola, Gatti, Nicola, Amigoni, Francesco
Format:	Conference Proceeding
Language:	English
Published:	Washington, DC, USA IEEE Computer Society 15.09.2009 IEEE
Series:	ACM Conferences
Subjects:	Computer systems organization > Embedded and cyber-physical systems > Robotics Computing methodologies > Artificial intelligence > Control methods > Robotic planning Computing methodologies > Artificial intelligence > Distributed artificial intelligence > Intelligent agents Computing methodologies > Artificial intelligence > Planning and scheduling Computing methodologies > Artificial intelligence > Planning and scheduling > Robotic planning Computing methodologies > Artificial intelligence > Search methodologies Computing methodologies > Artificial intelligence > Search methodologies > Discrete space search Computing methodologies > Artificial intelligence > Search methodologies > Game tree search Conferences constraint satisfaction problem Intelligent agent Mathematics of computing > Mathematical analysis > Mathematical optimization Mobile robots Protection Robotic patrolling with adversaries Security Sensor systems Theory of computation > Design and analysis of algorithms > Mathematical optimization traveling salesman problem Traveling salesman problems Utility theory Robotic patrolling with adversaries constraint satisfaction problem traveling salesman problem
ISBN:	0769538010, 9780769538013
Online Access:	Get full text
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