[robotics-worldwide] First CFP: PRIMA 2013 - 16th International Conference on Principles and Practice of Multi-Agent Systems
t.balke at surrey.ac.uk
t.balke at surrey.ac.uk
Wed Feb 13 15:57:50 PST 2013
Apologies for multiple postings
First CFP: PRIMA 2013 - 16th International Conference on Principles and Practice of Multi-Agent Systems
Dates: December 3-6, 2013
Location: Dunedin, New Zealand
Submission deadline: 1 July 2013
Co-located event: PRIMA 2013 is co-located with Australasian Artificial Intelligence conference (http://ai2013.otago.ac.nz/).
Agent computing is an exciting, transformational approach to developing computer systems that can rapidly and reliably solve real-world problems that usually demand human knowledge and expertise. The value, power and flexibility of agent and multi-agent systems has been demonstrated in application areas such as logistics, manufacturing, simulation, robotics, decision support, entertainment, and especially in online market environments. As one of the largest and fastest growing research fields of Computer Science, agent research today includes a wealth of topics.
Robotics, being one of the well-known application area for software agents, has attracted special interest in multi-agent system community (e.g. through the special track on Robotics in AAMAS conferences). For PRIMA 2013, among other regular agent topics (see http://prima2013.otago.ac.nz/call-for-papers/), we also solicit papers on robotics that address the research problems that arise from the design and implementation of robots as intelligent agents. Papers focusing on all scientific and technical challenges brought by the interactions among multiple robots, robots and humans, robots and the environment are welcome. Papers should clearly explain how the work reported addresses challenges in robotics, opportunities for novel applications, and fundamental research issues in autonomous robotic systems.
The topics of interest in the robotic domain include the following:
Integrated perception, cognition, and action
Machine learning for robotics
Mapping, localization and exploration
Networked robot/sensor systems
Robot planning (including action and motion planning)
Robot teams, multi-robot systems
Robotic agent languages and middleware for robot systems
Swarms and collective behaviours
The PRIMA 2013 Program Committee invites submissions of original, unpublished, theoretical and applied work on these topics, and encourages reports on the development of prototype and deployed agent-based robotic systems, and of experiments that demonstrate novel agent system capabilities.
Two types of contributions are solicited:
- Full papers, up to 16 pages in LNCS format, should present original theoretical and/or experimental research in any of the areas listed above that has not been previously published, accepted for publication, or is not currently under review by another conference or journal. Note that some full papers may be accepted as short papers (see below).
- Short papers (early innovation papers), up to 8 pages in LNCS format showcasing works-in-progress (will be reviewed with an emphasis on novelty/originality of the idea).
Both full and short papers will be included in the conference proceedings by Springer (LNAI series). Authors of both types of papers will need to present their work at the conference.
Please refer to the Paper Submission page (http://prima2013.otago.ac.nz/submission) for details on how to format your paper and how to submit your paper via EasyChair.
Submissions Due: 1 July 2013
Notifications: 19 August 2013
Camera-Ready: 14 September 2013
Early Registration: 31 October 2013
Conference: 3-6 December 2013
Assoc. Prof. Frank Dignum, Utrecht University
Professor Martin Purvis, University of Otago
Assoc. Prof. Guido Boella, University of Torino
Asst. Prof. Edith Elkind, Nanyang Technological University
Dr Bastin Tony Roy Savarimuthu, University of Otago
Prof. Aditya Ghose, University of Wollongong
Prof. Sandip Sen, University of Tulsa
Prof. Makoto Yokoo, Kyushu University
More information about the robotics-worldwide