A Software Agent Architecture Pattern

International Journal of Web Engineering and Technology, 2004

This paper proposes an agent oriented approach to design web applications. Contrary to other research work, this paper considers agents only at the conceptual level because they are convenient abstractions. In the implementation, agents are substituted by more adequate computational entities like Enterprise Java Beans or servlets. The translation from the conceptual level to the implementation is based on the relevance of interactions in both web-applications and Multi-Agent Systems. Throughout the paper, we show the current situation in Multi-Agent systems and what elements are required in a Multi-Agent System implementation.

Proceedings of the first …, 2002

This paper presents a practical application of an agent-based architecture which has been developed using the methodological framework defined by case-based reasoning systems. The deliberative agents developed within the framework of this research have been used to construct a multi-agent architecture used in an industrial application. The developed architecture is presented together with the results obtained.

2004

This paper presents a practical application of an agent-based architecture which has been developed using the methodological framework defined by case-based reasoning systems. The deliberative agents developed within the framework of this research have been used to construct a multi-agent architecture used in an industrial application. The developed architecture is presented together with the results obtained.

Journal of Emerging Trends in Computing and Information Sciences, 2012

The article presents a structure for using intelligent multi-agents architecture for an educational system and internet teaching. In this architecture, a model of multi-agents learning environments consists of: the domain model, the communication model and the user model. They contain all the domain knowledge of the target application and the user's profiles. Reconceptualizing the computer as a constructionist medium increases the computer's educational value by allowing the development and support of communities of users. The communication model facilitates communication via more conventional media, but also enables the communication of ideas through the creation and sharing of computational objects (e.g. agents and analysis tools). An agent appears to be appropriate for the implementation of the major functions of intelligent training, support and teaching environments by providing an environment for the definition and sharing of computational components, through the World Wide Web.

Co-ordination of Internet Agents, 2001

2011

Abstract: The notion of agent more and more appears in different contexts of computer science, often with different meanings. The main acceptation is the AI (Artificial Intelligence) and Distributed AI one, where agents are essentially exploited as a technique to develop special-purpose systems exhibiting some kind of intelligent behavior. In this paper, we introduce a further perspective, shifting the focus from AI to computer programming and programming languages.

Autonomous Agents and Multi-Agent Systems

This special issue of autonomous agents and multi-agent systems sought research articles that discuss relevant topics for the current trends in research on software agents and agentbased software systems. Topics of interest included techniques and technologies to engineer agent-based software systems, as well as languages, frameworks, and infrastructures broadly related to software agents and agent-based software systems. After more than 20 years from the very first attempts at using software agents as building blocks of real-world software systems (e.g., [5]), we witness today high-profile applications of software agents (e.g., [7]), even if agent-based software development cannot be considered common practice (e.g., [2]). This special issue is intended to represent a milestone in the research on software agents and agent-based software development by clearly identifying current trends and relevant topics, and by providing an informed outlook on the future of discussed themes.

Applied Artificial Intelligence, 2005

This paper discusses Betty's Brain, a teachable agent in the domain of river ecosystems that combines learning by teaching with self-regulation mentoring to promote deep learning and understanding. Two studies demonstrate the effectiveness of this system. The first study focused on components that define student-teacher interactions in the learning by teaching task. The second study examined the value of adding meta-cognitive strategies that governed Betty's behavior and self-regulation hints provided by a mentor agent. The study compared three versions: a system where the student was tutored by a pedagogical agent (ITS), a learning by teaching system (LBT) , where students taught a baseline version of Betty, and received tutoring help from the mentor, and a learning by teaching system (SRL), where Betty was enhanced to include self-regulation strategies, and the mentor provided help on domain material plus how to become better learners and better teachers. Results indicate that the addition of the self-regulated Betty and the self-regulation mentor better prepared students to learn new concepts later, even when they no longer had access to the SRL environment. 4 TAG-V: The Teachable Agents Group at Vanderbilt: Members of this group who contributed to this work include From a learning system viewpoint, a multi-agent architecture was developed to overcome drawbacks of the previous version of Betty's Brain, and to introduce the new features to promote inquiry based self-regulated learning that we have discussed above. The software system was redesigned to modularize the various functions required in the system, and to systematically introduce the notion of interactions among the agents .

Computer Science and Information Systems, 2011

The main goal of this paper is to provide an overview of the rapidly developing area of software agents serving as a reference point to a large body of literature and to present the key concepts of software agent technology, especially agent languages, tools and platforms. Special attention is paid on significant languages designed and developed in order to support implementation of agent-based systems and their applications in different domains. Afterwards, in the paper a number of useful and practically used tools and platforms that are available and support activities or phases of the process of agent-oriented software development are presented.