"Multi-Agent Navigation Using Path-Based Vector Fields"

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Book	Author(s)	Year	Publisher
Ontology-Based Multi-Agent Systems	Maja Hadzic; Elizabeth J. Chang; Pornpit Wongthongtham	2009	Springer Berlin Heidelberg
Multi-Agent and Multi-Agent-Based Simulation: Joint Workshop MABS 2004	Paul Davidsson; Brian Logan; Keiki Takadama	2005	Springer Berlin Heidelberg
Vector fields	Leslie Marder	1972	Allen and Unwin
Autonomous agent navigation based on textural analysis	Rand Cole Chandler	2003
Architecture-Based Design of Multi-Agent Systems	Danny Weyns	2010	Springer Berlin Heidelberg
Multi-Agent Based Production Planning and Control	Jie Zhang	2017	John Wiley & Sons
Harmonic Vector Fields	Sorin Dragomir and Domenico Perrone	2011	Elsevier
Vector fields: a vector foundation of electric and magnetic fields	Warren B. Boast	1964	Harper & Row
Vector fields: a vector foundation of electric and magnetic fields	Warren B. Boast	1964	Harper & Row
Multi-Agent Safety	Juan Pimentel	2020	SAE
Vector Fields on Manifolds	Michael Francis Atiyah	1970	VS Verlag für Sozialwissenschaften
Multi-Valued Fields	Yuri L. Ershov	2001	Springer US
Spacecraft Autonomous Navigation Technologies Based on Multi-source Information Fusion	Dayi Wang; Maodeng Li; Xiangyu Huang; Xiaowen Zhang	1st ed. 2021	Springer Nature Singapore
An Agent-Based Approach for Coordinated Multi-Provider Service Provisioning	Monique Calisti	2003	Birkhäuser Basel
Programming Multi-Agent Systems	Dastani M. (Ed), Dix J. (Ed)	2004	Springer
Adaptive Agents and Multi-Agent Systems: Adaptation and Multi-Agent Learning	Eduardo Alonso; Daniel Kudenko; Dimitar Kazakov	2003	Springer Berlin Heidelberg
Vector fields on Singular Varieties	Jean-Paul Brasselet; José Seade; Tatsuo Suwa	2010	Springer Berlin Heidelberg
Structurally stable quadratic vector fields	Joan C. Artés	1998	American Mathematical Society
Distributed Optimization-Based Control of Multi-Agent Networks in Complex Environments	Minghui Zhu; Sonia Martínez	2015	Springer International Publishing
Adaptive Agents and Multi-Agent Systems II: Adaptation and Multi-Agent Learning	Jürgen Schmidhuber (auth.), Daniel Kudenko, Dimitar Kazakov, Eduardo Alonso (eds.)	2005	Springer-Verlag Berlin Heidelberg
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Multi-Agent Navigation Using Path-Based Vector Fields	Tristan Behrens; Randolf Schärfig; Tim Winkler	Multiagent System Technologies: 7th German Conference, MATES 2009 Hamburg, Germany, September 9-11, 2009 Proceedings	Lars Braubach; Wiebe van der Hoek; Paolo Petta; Alexander Pokahr	2009	Springer Berlin Heidelberg
Constraint-Based Multi-agent Path Planning	Malcolm Ryan	AI 2008: Advances in Artificial Intelligence: 21st Australasian Joint Conference on Artificial Intelligence, Auckland, New Zealand, December 3-5, 2008, Proceedings	Wayne Wobcke; Mengjie Zhang	2008	Springer Berlin Heidelberg
Multi Agent-Based		Multi-agent systems for traffic and transportation engineering	Ana L. C. Bazzan, Ana L. C. Bazzan, Franziska Klugl	2009	Information Science Reference
Decentralized Multi-agent Path Selection Using Minimal Information	Andrew Kimmel; Kostas Bekris	Distributed Autonomous Robotic Systems: The 12th International Symposium	Nak-Young Chong; Young-Jo Cho	1st ed. 2016	Springer Japan
Multi-Robot Navigation Using Market-Based Optimization	Rainer Palm; Abdelbaki Bouguerra; Muhammad Abdullah	Complex Systems: Relationships between Control, Communications and Computing	Georgi M. Dimirovski	1st ed. 2016	Springer International Publishing
Efficient Multi-Agent Path Planning	Okan Arikan; Stephen Chenney; D. A. Forsyth	Computer Animation and Simulation 2001: Proceedings of the Eurographics Workshop in Manchester, UK, September 2–3, 2001	Nadia Magnenat-Thalmann; Daniel Thalmann	2001	Springer Vienna
Multi-agent Navigation and Coordination Using GA-Fuzzy Approach	Buddhadeb Pradhan; Diptendu Sinha Roy; Nirmal Baran Hui	Soft Computing for Problem Solving: SocProS 2017, Volume 2	Jagdish Chand Bansal; Kedar Nath Das; Atulya Nagar; Kusum Deep; Akshay Kumar Ojha	1st ed. 2019	Springer Nature Singapore
Conservative Vector Fields and Path Independence		Multivariable Calculus	Brian E. Blank, Steven G. Krantz	2011	Wiley
Mutex Propagation for SAT-based Multi-agent Path Finding	Pavel Surynek; Jiaoyang Li; Han Zhang; T. K. Satish Kumar; Sven Koenig	PRIMA 2020: Principles and Practice of Multi-Agent Systems: 23rd International Conference, Nagoya, Japan, November 18–20, 2020, Proceedings	Takahiro Uchiya; Quan Bai; Iván Marsá Maestre	1st ed. 2021	Springer International Publishing
Multi-Agent, Multi-Case-Based Reasoning	Susan L. Epstein; Xi Yun; Lei Xie	Case-Based Reasoning Research and Development: 21st International Conference, ICCBR 2013, Saratoga Springs, NY, USA, July 8-11, 2013, Proceedings	Sarah Jane Delany; Santiago Ontañon	2013	Springer Berlin Heidelberg
Agent-Based Distance Vector Routing	Kaizar A. Amin; John T. Mayes; Armin R. Mikler	Mobile Agents for Telecommunication Applications: Third International Workshop, MATA 2001, Montreal, Canada, August 14-16, 2001. Proceedings	Samuel Pierre; Roch Glitho	2001	Springer Berlin Heidelberg
Multi-Agent Path Finding – An Overview	Roni Stern	Artificial Intelligence: 5th RAAI Summer School, Dolgoprudny, Russia, July 4–7, 2019, Tutorial Lectures	Gennady S. Osipov; Aleksandr I. Panov; Konstantin S. Yakovlev	1st ed. 2019	Springer International Publishing
Path Navigation		SAS ACCESS 9. 1 Interface to IMS: Reference	The SAS Technical Team Writers	2004	SAS Publishing
Multi-agent Q-learning Based Navigation in an Unknown Environment	Amar Nath; Rajdeep Niyogi; Tajinder Singh; Virendra Kumar	Advanced Information Networking and Applications: Proceedings of the 36th International Conference on Advanced Information Networking and Applications (AINA-2022), Volume 1	Leonard Barolli; Farookh Hussain; Tomoya Enokido	1st ed. 2022	Springer International Publishing
Using the Vector Path tool		Fireworks	John Raymond Hall; National Fire Protection Association. Fire Analysis and Research Division		National Fire Protection Association Fire Analysis and Research Division
Using the Vector Path Tool		Fireworks MX: the complete reference /	Sahlin, Doug.	©2002.	McGraw-Hill/Osborne,
Multi-agent Based Classification Using Argumentation from Experience	Maya Wardeh; Frans Coenen; Trevor Bench-Capon; Adam Wyner	Advances in Knowledge Discovery and Data Mining: 15th Pacific-Asia Conference, PAKDD 2011, Shenzhen, China, May 24-27, 2011, Proceedings, Part II	Joshua Zhexue Huang; Longbing Cao; Jaideep Srivastava	2011	Springer Berlin Heidelberg
Multi-agent Based Classification Using Argumentation from Experien		Advances in Knowledge Discovery and Data Mining: 15th Pacific-Asia Conference, PAKDD 2011, Shenzhen, China, May 24-27, 2011, Proceedings, Part II	Leting Wu, Xiaowei Ying, Xintao Wu, Aidong Lu, Zhi-Hua Zhou (auth.), Joshua Zhexue Huang, Longbing Cao, Jaideep Srivastava (eds.)	2011	Springer-Verlag Berlin Heidelberg
Object Transportation Using Two Humanoid Robots Based on Multi-Agent Path Planning Algorithm		Intelligent Autonomous Systems 9	T. Arai, R. Pfeifer, T. Balch, H. Yokoi	2006	IOS Press
Real-Time Path Planning and Navigation for Multi-agent and Crowd Simulations	Ming C. Lin; Avneesh Sud; Jur Van den Berg; Russell Gayle; Sean Curtis; Hengchin Yeh et al.	Motion in Games: First International Workshop, MIG 2008, Utrecht, The Netherlands, June 14-17, 2008, Revised Papers	Arjan Egges; Arno Kamphuis; Mark Overmars	2008	Springer Berlin Heidelberg
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Showing 1 to 20 of 100 entries

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