Learn More
Gaining wide acceptance for the use of agents in industry requires both relating it to the nearest antecedent technology (object-oriented software development) and using artifacts to support the development environment throughout the full system lifecycle. We address both of these requirements in this paper by describing some of the most common requirements(More)
Gaining wide acceptance for the use of agents in industry requires both relating it to the nearest antecedent technology (object-oriented software development) and using artifacts to support the development environment throughout the full system lifecycle. We address both of these requirements using AUML, the Agent UML (Unified Modeling Language)—a set of(More)
Today's service-oriented systems realize many ideas from the research conducted a decade or so ago in multiagent systems. Because these two fields are so deeply connected, further advances in multiagent systems could feed into tomorrow's successful service-oriented computing approaches.This article describes a 15-year roadmap for service-oriented multiagent(More)
Agent-based modeling is a new technique for understanding how the dynamics of biological, social, and other complex systems arise from the characteristics and behaviors of the agents making up these systems. This innovative textbook gives students and scientists the skills to d esign, implement, and analyze agent-based models. It starts with the(More)
It is generally accepted that the environment is an essential compound of multiagent systems (MASs). Yet the environment is typically assigned limited responsibilities, or even neglected entirely, overlooking a rich potential for the paradigm of MASs. Opportunities that environments offer, have mostly been researched in the domain of situated MASs. However,(More)
In many domains, agent-based system modeling competes with equation-based approaches that identify system variables and evaluate or integrate sets of equations relating these variables. The distinction has been of great interest in a project that applies agent-based modeling to industrial supply networks, since virtually all computer-based modeling of such(More)
Designs for real-world agent-based systems must reflect domain requirements as well as the technical capabilities of agents. This needs-driven approach is being applied in AARIA (Autonomous Agents for Rock Island Arsenal), an industrial-strength agent-based factory scheduling and simulation system being developed for an Army manufacturing facility. A review(More)
Designs for real-world agent-based systems must reflect both domain requirements and technical capabilities. We illustrate some of the requirements for agents in manufacturing scheduling and an architecture that addresses them with a case study of AARIA (Autonomous Agents for Rock Island Arsenal), an industrial-strength agent-based shop-floor control and(More)
Emergent self-organization in multi-agent systems appears to contradict the second law of thermodynamics. This paradox has been explained in terms of a coupling between the macro level that hosts self-organization (and an apparent reduction in entropy), and the micro level (where random processes greatly increase entropy). Metaphorically, the micro level(More)