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Developing a multi-agent system (MAS) is a challenging task, considering sophisticated agent interactions, uncertain environmental conditions, and dynamic domain requirements. This set of demonstrations offers tools for the design and analysis of agent ...
The system that is demonstrated by live demo software through the internet is an agent platform developed for the DEAL (Distributed Engine for Advanced Logistics) project. It could be interesting for anyone developing agent platforms themselves, ...
The demonstration presents the 3APL-M platform for building deliberative multi-agent systems whose components execute on resource bounded devices.
Gamble is a test-bed for affective multiparty interactions which allows us to investigate social behavior of an agent towards users and vice versa. The CASA paradigm [9] claims that agents are regarded and treated as social actors. Whereas in 1:1 ...
We describe OWL-P (OWL for Processes and Protocols), a methodology and software tool for specifying and enacting interaction protocols among autonomous agents. We use the Web Ontology Language (OWL) and the Semantic Web Rule Language (SWRL) to specify ...
This demonstration highlights the applications of our research work i.e. second generation (Scalable Fault Tolerant Agent Grooming Environment - SAGE) Multi Agent System, Integration of Software Agents and Grid Computing and Autonomous Agent ...
Scalable fault tolerant Agent Grooming Environment (SAGE) is first open source initiative in South-Asia. It is a multi-agent system which has been developed according to FIPA (Foundation for Intelligent Physical Agents) 2002 specifications. SAGE has ...
Agent technology provides the manufacturing and defence with novel technological concept. This concept has been deployed in a number of different application throughout last few years. This contribution provides the readers with several case studies of ...
Impact for agents. Most of the agent research community has been predicting greater impact for years and many of us have been working to help the process along. Yet the tremendous growth on the research front has not been met with a corresponding growth ...
Different driving forces push the electricity production towards decentralization. As a result, the current electricity infrastructure is expected to evolve into a network of networks, in which all system parts communicate with each other and influence ...
Egemin N. V. is a Belgian manufacturer of Automatic Guided Vehicles -named E'GVs- and control software for automating logistics services in warehouses and manufactories using E'GVs. In a joint R&D project, Egemin and the AgentWise research group are ...
We introduce MAGENTA'S commercial multi-agent systems technology, and illustrate its practical use by describing a field-tested application in the area of logistics/scheduling. MAGENTA technology provides two integrated toolsets for building industrial-...
The main goal of an Advanced Traffic Management System is to help human road managers to improve traffic flows and road safety. This goal turns out to be especially hard due to the difficulties in getting continuous traffic information and also because ...
This paper describes LS/ATN, Living Systems®Adaptive Transportation Networks, an agent-based solution we have developed to solve transportation problems in the charter business logistics. LS/ATN provides automatic optimization and execution capabilities ...
This paper describes how cognitive modeling can be exploited in the design of software agents that support naval training sessions. The architecture, specifications, and embedding of the cognitive agent in a simulation environment are described. ...
Reinforcement learning problems are commonly tackled with temporal difference methods, which estimate the long-term value of taking each action in each state. In most problems of real-world interest, learning this value function requires a function ...
This is a summary of the thesis entitled "Cognitive Agent Programming: Semantics and Logics".
This position paper outlines possible research directions related to market-based methods, especially as they apply to logistic settings. First, we describe some of the characteristics of the logistics domain. Next, we identify and discuss some ...
The task of hard-coding agent behaviors to achieve desired team behaviors is very difficult, if not intractable. The complexity of multiagent problems can also rise exponentially with the number of agents and their behavioral sophistication. The field ...
In the field of multi-agent systems, a lot of attention has been focused lately on investigating various architectures and methodologies that promote effective organization and coordination within large-scale, complex, distributed systems. Specifically, ...