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This work presents a Model Driven Development (MDD) approach to agent-oriented software engineering in order to design and deploy application prototypes in a fast and simple way. This approach is specifically addressed to systems including agents that must be executed on mobile or embedded devices. The user will design the system for different platforms by means of unified agent models (UML-like)...
This paper explore the using of cooperative, distributed agents to improve bus services, these agents include bus departure control agent, bus stop agent, travel guiding agent and so on. This paper focus on the scheme for constructing bus stop agent, that is capable of better managing bus pass in or out the congested stop. These agents have components such as belief warehouse, rule warehouse, environmental...
An artificial immune system (AIS) is a biological inspiration of the human immune system and continues to emerge as a technique for a wide area of applications. This paper presents a model of AIS as it applies to a multi-agent formation problem, similar to predator and prey scenario. Successful multi-agent formations are discovered in conjunction with the artificial immune system's agents and their...
Nowadays progressive agent technology are active used in a system of distant education. In this paper we described the research of communication in the multi-agent environment of distance education. We used two intellectual agents of multi-agent system and developed a set of the plans, facts, goals, events. We took advantage the platform Jadex, what inherits BDI architecture, for demonstration communication...
This paper introduces the concept and framework of artificial classroom (AC) for the first time by employing artificial societies. Our solution is to use the artificial society approach for modeling artificial classroom. In the artificial society approach, agent-based simulation is used to explore and understand classroom misbehaviors issues. Student agents are selected as three kinds of typical agents...
The usage of economics in grid systems designs has been very popular recently and a large number of system designers have attempted to use economic concepts to engineer the grid market mechanism that would enable an efficient allocation of resources. However, only few of these designs have been actually implemented and, in fact, very few, if any, have been successfully adopted by end users. The argument...
Agent platforms provide a framework for development and execution of parallel applications such as multi-agent based simulation (MABS). However, these platforms have limitations to support large-scale MABS applications in practice. This paper aims at investigating and improving the performance of an agent platform with a MABS workload in distributed environments. We carried out an experimental study...
Cooperation learning is one main part of research on multi-agent system. Based on distributed reinforcement learning, a method of multi-agent coordination is proposed. By means of this method, at first a global complicated task is decomposed, and then the central reinforcement learning is adopted to coordinate and assign subtasks, and the individual reinforcement is adopted to choose the effective...
According to recent technological break-through in energy conversion area and the implementation of efficiency improvement approaches in energy markets, energy sectors accustomed to operate in parallel with some degree of independency has been forced to compete in emerging multi-energy markets. Understanding the behavior of these relatively unknown markets is crucial for the success of market actors...
In this paper, we introduce the concepts of holiday tourism information data mining and grey prediction technology, establish the holiday tourism data model and grey prediction model, and analyze the predict results. On the basis of the analysis with agent system-infrastructure, we establish an agent based tourism grey prediction system.
Electronic commerce mechanisms are mainly investigated in two independent research areas: service-oriented computing (SOC) and multi-agent systems. The former as a means to deliver electronic services of various granularity and the latter as a testbed of electronic negotiation mechanisms. However, both research areas heavily rely on each other. On the one hand, service-oriented architectures need...
Applying a suite of tools from artificial intelligence and data mining to existing archaeological data from Monte Alban, a prehistoric urban center, offers the potential for building agent-based models of emergent ancient urban centers. The authors use decision trees to characterize location decisions made by early inhabitants at Monte Alban, a prehistoric urban center, and inject these rules into...
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