SAC 2013 - Special Track on Cooperative Multi-Agent Systems and Applications
Coimbra, Portugal

The ACM Symposium on Applied Computing (SAC) has been an important venue for the past twenty-seven years, attracting applied computer scientists, computer engineers, software engineers, and application developers from around the world. SAC 2013 is sponsored by the ACM Special Interest Group on Applied Computing (SIGAPP), and will be held at Coimbra, Portugal. For the first time, the ACM SAC will have a track focusing on cooperative multi-agent systems and their applications.

Cooperative multi-agent systems are groups of intelligent agents that can perceive and act in a given environment to achieve their individual and collective goals. Often, multi-agent systems (MAS) are used to solve problems that are beyond the individual capacities and knowledge of single agents. Such systems provide solutions in situations where expertise is spatially and temporally distributed, but typically do not suffer from resource limitations, performance bottlenecks or the critical failures associated with centralized problem solvers. Recently, due to the applicability of MAS to a wide spectrum of application domains, multi-robot systems and mixed human-robot teams have emerged as relevant instantiations of MAS, increasing their potential and solving challenging problems in the physical world.

The purpose of this technical track is to address methods for representing, specifying, designing, programming, deploying, and reasoning about cooperative MAS applied to real world problems, either in realistic simulations or field experiments. The agents in such systems may include virtual agents, mobile robots and/or humans. This technical track is a forum for researchers and practitioners to meet and share experiences, theoretical knowledge and discuss application domains of MAS comprising either software agents or physically embodied agents.

Topics of Interest

Coordination and cooperation Distributed and decentralized control
Multi-agent systems (MAS) Multi-robot systems
Mixed human-robotic teams Real world applications of MAS
Simulation techniques, tools and environments Distributed constraint satisfaction
MAS in mobile ad-hoc networks and sensor networks Emergent behaviors, self-organization and learning
Scalability Robustness and fault-tolerance


SAC 2013 (CMASA) - Call For Papers