Introducing a new hobby for other people may inspire them to join with you. Reading, as one of mutual hobby, is considered as the very easy hobby to do. But, many people are not interested in this hobby. Why? Boring is the reason of why. However, this feel actually can deal with the book and time of you reading. Yeah, one that we will refer to break the boredom in reading is choosing software e...

Grid infrastructure is a large set of nodes geographically distributed and connected by a communication. In this context, fault tolerance is a necessity imposed by the distribution that poses a number of problems related to the heterogeneity of hardware, operating systems, networks, middleware, applications, the dynamic resource, the scalability, the lack of common memory, the lack of a common ...

Multiagent systems is an expanding field that blends classical fields like game theory and decentralized control with modern fields like computer science and machine learning. This monograph provides a concise introduction to the subject, covering the theoretical foundations as well as more recent developments in a coherent and readable manner. The text is centered on the concept of an agent as...

Complex applications in Artificial Intelligence need a multiple representation of knowledge and tasks, in term of abstraction levels and points of view. The integration of numerous resources (knowledge-based systems, real-time systems, data bases ...), often geographically distributed on different machines connected into a network, is moreover a necessity to develop real scale systems. Distribu...

Agent-Oriented Programming (AOP) is a new programming paradigm which proposes that mentalistic notions (such as belief, intention, commitment and so on) are useful abstraction mechanisms for describing complex, intelligent agents, and that they may therefore be used as a basis for programming such agents [17]. In this paper, we describe a Distributed Artificial Intelligence testbed called MYWOR...

In many industrial applications, large centralized software systems are not as effective as distributed networks of relatively simpler computerized agents. For example, to compete effectively in today's markets, manufacturers must be able to design, implement, reconfigure, resize, and maintain manufacturing facilities rapidly and inexpensively. Because modern manufacturing depends heavily on co...

The increasing volume of existing information on biological processes and the use of large databases have significantly increased the accessibility of datasets to the scientific community. This has enabled performing an analysis to facilitate the extraction of relevant information or modeling and optimizing tasks in different processes. Parallel to the increasing volumes of information is the e...

-6Abstract —Over recent years, Genetic Algorithms have proven to be an appropriate tool for solving certain problems. However, it does not matter if the search space has several valid solutions, as their classic approach is insufficient. To this end, the idea of dividing the individuals into species has been successfully raised. However, this solution is not free of drawbacks, such as the emerg...

In an age of rapidly increasing network complexity and diversity, the idea of " bringing intelligence to the network " is becoming more of a necessity than " future work ". Since the early 1990's, agent technology has often been proposed as a way of achieving this more effective, robust and above all autonomous network control. This article provides a brief tour of current trends in network dev...

Agent technology is a new approach of Distributed Artificial Intelligence to implement autonomous entities driven by beliefs, goals, capabilities and plans, and other agency properties such as adaptation, interaction, and mobility. Software agents are the focus of considerable research in the artificial intelligence community, but not much has been done in the field of software engineering. In ...