SCW 2014 at AAMAS May, 5-9 2014
Many self-organizing or self-adaptive multiagent systems are spatial computers – collections of local computational devices distributed through a physical space, in which:
- the difficulty of moving information between any two devices is strongly dependent on the distance between them, and
- the “functional goals” of the system are generally defined in terms of the system’s spatial structure.
In multiagent systems, spatial relationships (location, region, frontier, neighborhood, obstruction, field, basin, communication, diffusion, propagation) are used to organize the interactions between agents where their location is important for the problem. Systems that can be viewed as spatial computers are abundant, both natural and man-made. For example, in wireless sensor networks and animal or robot swarms, inter-agent communication network topologies are determined by the distance between devices, while the agent collectives as a whole solve spatially-defined problems like “analyze and react to spatial temperature variance” or “surround and destroy an enemy”. In biological embryos, each developing cell’s behavior is controlled only by its local chemical and physical environment, but the eventual structure of the organism is a global property of the cellular arrangement. Moreover, a variety of successful established techniques for self-organization and self-adaptation arise from explicitly spatial metaphors, e.g., self-healing gradients.
On the other hand, not all spatially distributed systems are spatial computers. The Internet and peer-to-peer overlay networks may not in general best be considered as spatial computers, both because their communication graphs have little relation to the Euclidean geometry in which the participating devices are embedded, and because most applications for them are explicitly defined independent of network structure. Spatial computers, in contrast, tend to have more structure, with specific constraints and capabilities that can be used in the design and analysis of algorithms.
The goal of this workshop is to explicitly identify the idea of spatial computing as a theme in multi agent systems and in self-organizing and self-adaptive systems, and further to develop the study of spatial computation as a subject in its own right. We believe that progress towards identifying common principles, techniques, and research directions – and consolidating the substantial progress that is already being made – will benefit all of the fields in which spatial computing takes place. And, as the impact of spatial computing is recognized in many areas, we hope to set up frameworks to ensure portability and cross-fertilization between solutions in the various domains.
Workshop paper submission: February 14, 2014 Notification of accepted papers: March 7, 2014 Delivery of camera-ready papers (pre-proceedings): March 14, 2014 AAMAS-2014 Workshops: May 6, 2014
- 09:00 to 10:30 Session I
- 10:30 to 11:00 Coffee break
- 11:00 to 12:30 Session II
- 12:30 to 14:00 lunch break
- 14:00 to 15:30 Session III
- Predicting Spatial Self-Organization with Statistical Moments, Linge Bai, Robert Gilmore and David Breen
- DiSCUS: a Simulation Platform for Conjugation Computing, Angel Goni-Moreno and Martyn Amos
- Population Dynamics and Spread of Invasive Species in Response to Changing Scale of Landscape Pattern Scenarios: Current Issues and Challenges, Audrey Lustig, Daniel Stouffer, Mariona Roige and Susan P. Worner (extended abstract)
- 15:30 to 16:00 Coffee break
- 16:00 to 18:00 Session IV
- Applying Spatial Computing to Everyday Interactive Designs, Stefan Dulman and Chris Kievid
- Memory as an Organizer of Dynamic Modules in a Network of Potential Interactions, Mesut Yucel and Uri Hershberg
We are soliciting submissions on any aspect of spatial computing. Examples of topics of interest include, but are by no means limited to:
- Languages for programming spatial computers and describing spatial tasks and patterns
- Methods for compiling global programs to local rules that produce the desired global effect
- Relationships between agent interaction and spatial organizations
- Theoretical and practical limitations arising from spatial properties
- Characterization of spatial self-organization phenomena as algorithmic building blocks
- Characterization of error in spatial computers (e.g., error from approximating continuous space with networks of devices)
- Analysis of tradeoffs between system parameters (e.g., communication radius vs. device memory consumption)
- Studies of the relationship between time, propagation of information through the spatial computer, and computational complexity
- Application of spatial computing principles to novel areas, or generalization of area-specific techniques
- Device motion in spatial computing algorithms (e.g. the relationship between robot speed and gradient accuracy in multi-robot swarms)
- Theoretical and empirical analysis of spatial applications
We encourage authors to submit papers in one of two formats:
- Papers that develop “unifying” principles or techniques in spatial computing – these papers should be suitable in format and quality for a conference track, but avoid incrementalism;
- Papers that demonstrate how a technique or problem from a specific area of application can usefully be generalized – these papers should be a combination of review paper and position paper, presenting the material from one area in a form comprehensible to researchers of another area, as well as a coherent technical argument generalizing the material to other areas.
Although our interests are broad, we discourage authors from submitting reviews of particular application areas unless the paper explicitly connects the material to the larger technical issues of spatial computing.
Papers will be peer reviewed on the basis of originality, readability, relevance to themes, soundness, and overall quality. Workshop pre-proceedings will be published in a bundle with the main conference proceedings. Post-proceedings publication in a journal is planed.
Questions should be addressed to email@example.com.
- Andy Adamatzky (University of the West of England)
- Michel Banatre (INRIA, France)
- Jacob Beal (BBN Technologies)
- Sven Brueckner (Axon Connected LLC)
- Daniel Coore (University of the West Indies)
- Nikolaus Correll (University of Colorado at Boulder)
- Ferruccio Damiani (Dipartimento di Informatica, Università di Torino)
- Ada Diaconescu (Telecom ParisTech, CNRS LTCI)
- Stéphane Doncieux (ISIR/UPMC)
- Rene Doursat (Drexel University)
- Alexis Drogoul (IRD, France)
- Matt Duckham (University of Melbourne)
- Jérôme Durand-Lose (LIFO - U. D'Orléans)
- Amal El Fallah Seghrouchni (LIP6 - University of Pierre and Marie Curie)
- Nazim Fates (LORIA - INRIA Nancy)
- Jose Luis Fernandez-Marquez (University of Geneva)
- Erol Gelenbe (Imperial College)
- Jean-Louis Giavitto (IRCAM - CNRS)
- Fred Gruau (LRI - U. Paris Sud)
- Guillaume Hutzler (Evry University)
- Mark Jelasity (University of Szeged)
- Olivier Michel (LACL - U. Paris Créteil)
- Alexandre Muzy (CNRS)
- Ulrik Schultz (University of Southern Denmark)
- Graeme Stevenson (University of St Andrews)
- Christof Teuscher (Portland State University)
- Kyle Usbeck (BBN Technologies)
- Gabriel Wainer (Carleton University)
- Eiko Yoneki (University of Cambridge Computer Laboratory)
This workshop is a continuation of a series of workshops on spatial computing. Previous editions of this workshop may be found at the following urls: SCW 2013, SCW 2012, SCW 2011, SCW 2010, SCW 2009, SCW 2008.
ACM Transactions on Autonomous and Adaptive Systems (TAAS) Special Issue on Spatial Computing (Volume 6 Issue 2, June 2011) (open post-proceedings SCW 2008 and 2009)
The Computer Journal Special Issue on Spatial Computing (open post-proceedings SCW 2010 and 2011)