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iii ACKNOWLEDGEMENTS • Special thanks go to my family in Egypt, especially my parents. No words can describe what you have been doing for me, and no words can describe how much I love you all. • I would like to sincerely thank my advisor, Dr. George Vachtsevanos, for his constant help and support throughout the doctoral program as an advisor and a father figure. Without your support and advice,...

The paper describes the design and the Java implementation of a coordination architecture for mobile agents, based on an object-oriented Linda-like tuple space model, compliant with the Sun's JavaSpaces specifications. Moreover, unlike Linda and JavaSpaces, the proposed architecture integrates a reactive model: the behaviour of the tuple spaces can be programmed by installing reactions which ar...

MAGE (Multi-Agent Game Environment) is a logic-based framework that uses games as a metaphor for representing complex agent activities within an artificial society. More specifically, MAGE seeks to (a) reuse existing computational techniques for norm-based interactions and (b) complement these techniques with a coordination component to support complex interactions. The reuse part of MAGE relat...

Coordination between processing entities is one of the most widely studied areas in multi-agent planning research. Recently, efforts have been made to understand the formal computational issues of this important area. In this paper, we make a step toward this direction, and analyze a certain class of coordination problems for dependent agents with independent goals acting in the same environmen...

Rudder is a generative agent-based middleware with intelligent deductive capabilities and effective coordination services for Grid autonomic applications. It provides a coordination environment to develop and enable self-managing systems, adopting multi-agent based management and reactive tuple space coordination technology. Rudder employs context-aware agent mechanism and tuple space coordinat...

Composite systems are collections of autonomous, heterogeneous, and distributed software applications. In these systems, data dependencies are continuously violated by local operations and therefore, coordination processes are necessary to guarantee overall correctness and consistency. Such coordination processes must be endowed with some form of execution guarantees, which require the particip...

Coordinating the actions of agents in multiagent systems presents a challenging problem, especially as the size of the system is increased and predicting the agent interactions becomes difficult. Many approaches to improving coordination within multiagent systems have been developed including organizational structures, shaped rewards, coordination graphs, heuristic methods, and learning automat...

We are currently engaged in investigating intelligent agent societies from a macro-level view, by defining certain emergent variables that describe the behavior of such systems and investigating relationships between these variables. Part of this research investigates the role played by satisficing models in coordination within intelligent agent societies. This paper discusses the tradeoffs bet...

Agent interaction takes place at several levels. Current work in the ARPA Knowledge Sharing Effort has addressed the information content level by the KIF language and the intentional level by the KQML language. In this paper we address the coordination level by means of our Coordination Language (COOL) that relies on speech act based communication, but integrates it in a structured conversation...