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Achieving joint objectives in distributed domain-independent planning problems by teams of cooperative agents requires signicant coordination and communication eorts. For systems facing a plan failure in a dynamic environment , arguably, attempts to repair the failed plan in general, and especially in the worst-case scenarios, do not straightforwardly bring(More)
One of the main challenges in agent-oriented programming is the design of <i>specialized programming languages</i> for single agent development. They should provide transparent interfaces to existing mainstream programming languages for easy integration with external code and legacy software. The underlying architecture of such programming languages has to(More)
This is a short report about the first contest of Multi-Agent Systems (MASs) that are based on computational logic. The CLIMA workshop series (which started in 1999) is a forum to discuss techniques, based on computational logic, for representing, programming, and reasoning about Multi-Agent Systems in a formal way. Now in its seventh year, it was felt that(More)
The second edition of the contest on Multi-Agent Systems based on computational logic was held in conjunction with the CLIMA '06 workshop in Hakodate, Japan. Based on the experiences from the first edition of this contest ([8]), we decided to improve the setting of the first edition. In particular, we built a server to simulate the multi-agent system(More)
Different knowledge representation tasks require different knowledge representation techniques. Agent designers should therefore be able to easily exploit benefits of various knowledge representation technologies in a single agent system. I describe here a modular agent programming language Jazzyk based on the programming framework of Behavioural State(More)
Achieving joint objectives by teams of cooperative planning agents requires significant coordination and communication efforts. For a single-agent system facing a plan failure in a dynamic environment, arguably, attempts to repair the failed plan in general do not straightforwardly bring any benefit in terms of time complexity. However, in multi-agent(More)
— In this paper, the multi-robot motion coordination planning problem is addressed. Although a centralized prioritized planning strategy can be used to solve the problem, we rather consider a decentralized variant, which is a more suitable for a robotic system of cooperating unmanned aerial vehicles (UAVs) due to communication limitations, privacy concerns,(More)