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Autonomous Agents and Multi-Agent Systems
Published in: Autonomous Agents and Multi-Agent Systems 3/2017

12-01-2016

A framework for organization-aware agents

Authors: Andreas Schmidt Jensen, Virginia Dignum, Jørgen Villadsen

Published in: Autonomous Agents and Multi-Agent Systems | Issue 3/2017

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Abstract

Open systems are characterized by the presence of a diversity of heterogeneous and autonomous agents that act according to private goals. Organizations, such as those used in real-life to structure human activities such as task allocation, coordination and supervision, can regulate the agents’ behavior space and describe the expected behavior of the agents. Assuming an open environment, where agents are developed independently of the Organizational structures, agents need to be able to reason about the structure, so that they can deliberate about their actions and act within the expected boundaries and work towards the objectives of the organization. In this paper, we present the AORTA reasoning framework and show how it can be integrated into typical BDI-agents. We provide operational semantics that enables agents to make organizational decisions in order to coordinate and cooperate without explicit coordination mechanisms within the agents. The organizational model is independent of that of the agents, and the approach is not tied to a specific organizational model, but uses an organizational metamodel. We show how AORTA helps agents work together in a system with an organization for choosing the best tender for a building project.
next article Requirements specification via activity diagrams for agent-based systems

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Appendix
Available only for authorised users
Footnotes
1
AORTA stands for Adding Organizational Reasoning to Agents.
 
2
Inspired by the plan syntax of AgentSpeak(L) [37].
 
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Metadata
Title
A framework for organization-aware agents
Authors
Andreas Schmidt Jensen
Virginia Dignum
Jørgen Villadsen
Publication date
12-01-2016
Publisher
Springer US
Published in
Autonomous Agents and Multi-Agent Systems / Issue 3/2017
Print ISSN: 1387-2532
Electronic ISSN: 1573-7454
DOI
https://doi.org/10.1007/s10458-015-9324-2

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