Results 181 to 190 of about 14,515 (235)

Environment in agent-oriented software engineering methodologies

Multiagent and Grid Systems: An International Journal of Data Science and Artificial Intelligence, 2009
The key role of environment as a first-class abstraction in the engineering of MAS (multi-agent systems) is today generally acknowledged in the MAS community. However, the support for the notion of environment in today AOSE (agent-oriented software engineering) methodologies is still either absent, weak, or incomplete at best. In this
MOLESINI, AMBRA, OMICINI, ANDREA, VIROLI, MIRKO   +2 more
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Agent-Oriented Software Engineering

2000
The ATAL workshops focus on the links between the theory and practice of intelligent agents. One aspect of this, which is steadily growing in importance, is the idea of agent technology as a software engineering paradigm. Previous ATAL workshops have had special tracks on programming languages for agent-oriented development, and methodologies for agent
Stefan Bussmann, Paolo Ciancarini, Keith S. Decker, Michael N. Huhns, Michael J. Wooldridge   +4 more
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Agent-Oriented Software Engineering [PDF]

, 1999
Increasingly many computer systems are being viewed in terms of autonomous agents. Agents are being espoused as a new theoretical model of computation that more closely reflects current computing reality than Turing Machines. Agents are being advocated as the next generation model for engineering complex, distributed systems. Agents are also being used
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Agent Oriented Software Engineering with INGENIAS

2007
INGENIAS is both a methodology and a set of tools for development of multi-agent systems (MAS). As a methodology, it tries to integrate results from other proposals and considers the MAS from five complementary viewpoints: organization, agent, tasks/goals, interactions, and environment. It is supported by a set of tools for modelling (graphical editor),
Juan Pavón, Jorge J. Gómez-Sanz
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Towards an Engineering Change in Agent Oriented Software Engineering

First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06), 2006
Despite a great deal of research in the area, a number of challenges still need to be faced before making agentbased computing a widely accepted paradigm in software engineering practice. In order to realize an engineering change in agent oriented software engineering: it’s necessary to turn agent oriented software abstractions into practical tools for
Xiao Xue, Junfang Zeng, Liu Liding
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Agent orientation in software engineering

The Knowledge Engineering Review, 2001
Agent-Oriented Software Engineering (AOSE) is rapidly emerging in response to urgent needs in both software engineering and agent-based computing. While these two disciplines coexisted without remarkable interaction until some years ago, today there is rich and fruitful interaction among them and various approaches are available that bring together ...
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Agent-Oriented Software Engineering

Lecture Notes in Computer Science, 2001
MICHAEL WOOLDRIDGE, PAOLO CIANCARINI
exaly   +2 more sources

Understanding Agent-Oriented Software Engineering methodologies

The Knowledge Engineering Review, 2015
Abstract For many years, the progress in agent-oriented development has focused on tools and methods for particular development phases. This has not been enough for the industry to accept agent technology as we expected. Our hypothesis is that the Agent-Oriented Software Engineering (AOSE) community has not recognized the kind of ...
Jorge J. Gómez-Sanz, Rubén Fuentes-Fernández   +1 more
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Agent Oriented Software Engineering

2007
Research in Agent Oriented Software Engineering involves the integration of different disciplines, from software engineering to artificial intelligence. To demonstrate the breadth of the field, this chapter discusses a number of the research issues involved.
Pedro Cuesta, Alma Gómez, Juan Carlos González   +2 more
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Agent-Oriented Software Engineering

2009
Over the past decade, the target environment for software development has complexified dramatically. Software systems must now operate robustly in a dynamic, global, networked environment comprised of distributed diverse technologies, where frequent change is inevitable. There is increasing demand for flexibility and ease of use.
Taveter, Kuldar, Sterling, Leon
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