This paper is concerning the application of a deterministic decisional pattern to a multi-agent system which would provide intelligence to a distributed energy smart grid at local consumer level. Development of multi-agent application involves agent specifications, analysis, design and realization. It can be implemented by following several decisional patterns. The purpose of present article is...

The objective of this paper is to test whether or not software agents can match the observed behavior of human subjects in laboratory tests of markets. For this purpose, one set of tests uses four software agents and two human subjects to represent six suppliers in three different market situations: no forward contracts, fixed price forward contracts, and renewable forward contracts. An identic...

Grids are likely to be the mainstay of distributed computing. Efficient resource discovery mechanism is one of the fundamental requirement for Grid computing systems. In this article we present a survey of recent work on the integration of multi-agent systems and peer-to-peer based resource discovery services for Grid systems. This discovery services would have several desirable features, inclu...

This paper introduces a multi-environment simulation framework for building self-organizing multi-agent systems. From an engineering point of view, the multienvironments approach brings the necessary modularity and separation of concerns to build self-organizing multi-agent systems that address hierarchy, interoperability and multi-aspects problems and domains. Our framework provides higher abs...

— In Probabilistic Risk Management, risk is characterized by two quantities: the magnitude (or severity) of the adverse consequences that can potentially result from the given activity or action, and by the likelihood of occurrence of the given adverse consequences. But a risk seldom exists in isolation: chain of consequences must be examined, as the outcome of one risk can increase the likelih...

Typical implementations of artificial intelligent agents suggest that actions should be chosen in order to maximise some reward function. This naturally complies the philosophy behind rational choice theory. Yet, this heuristic may not always provide long-term success to the considered agents. In this paper, we stress the need to consider the self-organised and frequency-dependent nature of the...

Simulation can be defined as, " an imitation or representation, as of potential situation or in experimental testing. " It can also be defined as, " representation of the operation or features of one process or system through the use of another " [8]. Today, simulation is used for purposes ranging from work flow representation to military procedures. The question remains then-what techniques ar...

Drops can self-organize in two-dimensional (2D) microchannels to form ordered arrangements. Design of microchannels that result in a particular pattern of drops for a specific purpose is difficult and nonintuitive due to the inherent complexity of the drop dynamics. We address the problem of understanding the arrangement of composite drops inside a microchannel. A multiagent modeling strategy t...

In this work, we design distributed control laws for spatial self-organization of multiagent swarms in 1D and 2D spatial domains. The objective is to achieve a desired density distribution over a simply-connected spatial domain. Since individual agents in a swarm are not themselves of interest and we are concerned only with the macroscopic objective, we view the network of agents in the swarm a...

The future smart energy grid demands for new control paradigms that are able to incorporate a huge number of rather small, distributed and individually configured energy resources. In order to allow for a transition of the current central market and network structure to a decentralized smart grid, with small units pooling together to jointly trade their electricity production on specialized mar...