Agents and Computational Autonomy

1. Front Matter

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2. Models and Typologies

   1. Invited Contributions

      1. Agency, Learning and Animal-Based Reinforcement Learning

         • Eduardo Alonso, Esther Mondragón

         Pages 1-6

      2. Agent Belief Autonomy in Open Multi-agent Systems

         • K. Suzanne Barber, Jisun Park

         Pages 7-16

      3. Dimensions of Adjustable Autonomy and Mixed-Initiative Interaction

         • Jeffrey M. Bradshaw, Paul J. Feltovich, Hyuckchul Jung, Shriniwas Kulkarni, William Taysom, Andrzej Uszok

         Pages 17-39

      4. Founding Autonomy: The Dialectics Between (Social) Environment and Agent’s Architecture and Powers

         • Cristiano Castelfranchi, Rino Falcone

         Pages 40-54

      5. Agent Autonomy Through the ₃ <i>M</i> Motivational Taxonomy

         • Steve Munroe, Michael Luck

         Pages 55-67

      6. A Taxonomy of Autonomy in Multiagent Organisation

         • Michael Schillo, Klaus Fischer

         Pages 68-82

      7. Autonomy and Reasoning for Natural and Artificial Agents

         • Harko Verhagen

         Pages 83-94

   2. Standard Contributions

      1. Types and Limits of Agent Autonomy

         • Gordon Beavers, Henry Hexmoor

         Pages 95-102

      2. Autonomy in Multi-agent Systems: A Classification Attempt

         • Cosmin Carabelea, Olivier Boissier, Adina Florea

         Pages 103-113

      3. Autonomy and Agent Deliberation

         • Mehdi Dastani, Frank Dignum, John-Jules Meyer

         Pages 114-127

      4. Requirements for Achieving Software Agents Autonomy and Defining Their Responsibility

         • Abdelkader Gouaich

         Pages 128-139

3. Design and Applications

   1. Invited Contributions

      1. Agent Design from the Autonomy Perspective

         • Massimo Cossentino, Franco Zambonelli

         Pages 140-150

      2. From Individual Based Modeling to Autonomy Oriented Computation

         • Xiaolong Jin, Jiming Liu

         Pages 151-169

      3. Toward Quantum Computational Agents

         • Matthias Klusch

         Pages 170-186

      4. Adjustable Autonomy Challenges in Personal Assistant Agents: A Position Paper

         • Rajiv T. Maheswaran, Milind Tambe, Pradeep Varakantham, Karen Myers

         Pages 187-194

      5. Autonomy in an Organizational Context

         • Olga Pacheco

         Pages 195-208

      6. Dynamic Imputation of Agent Cognition

         • H. Van Dyke Parunak, Sven A. Brueckner

         Pages 209-226

      7. I am Autonomous, You are Autonomous

         • Hans Weigand, Virginia Dignum

         Pages 227-236

   2. Standard Contributions

      1. Agents with Initiative: A Preliminary Report

         • Raymond So, Liz Sonenberg

         Pages 237-248

This volume contains the postproceedings of the 1st International Workshop on Computational Autonomy – Potential, Risks, Solutions (AUTONOMY 2003), held at the 2nd International Joint Conference on Autonomous Agents and Multi-agentSystems(AAMAS2003),July14,2003,Melbourne,Australia.Apart from revised versions of the accepted workshop papers, we have included invited contributions from leading experts in the ?eld. With this, the present volume represents the ?rst comprehensive survey of the state-of-the-art of research on autonomy, capturing di?erent theories of autonomy, perspectives on autonomy in di?erent kinds of agent-based systems, and practical approaches to dealing with agent autonomy. Agent orientation refers to a software development perspective that has evolved in the past 25 years in the ?elds of computational agents and multiagent systems. The basic notion underlying this perspective is that of a computational agent, that is, an entity whose behavior deserves to be called ?exible, social, and autonomous. As an autonomous entity, an agent possesses action choice and is at least to some extent capable of deciding and acting under self-control. Through its emphasis on autonomy, agent orientation signi?cantly di?ers from traditional engineering perspectives such as structure orientation or object o- entation. These perspectives are targeted on the development of systems whose behavior is fully determined and controlled by external units (e.g., by a p- grammer at design time and/or a user at run time), and thus inherently fail to capture the notion of autonomy.

• DJ
• agent architectures
• agent autonomy
• agent cognition
• agent coordination
• classification
• cognition
• computational autonomy
• intelligent agents
• modeling
• multi-agent system
• multi-agent systems
• reinforcement learning
• social agents
• software agent

• University of Bath, Bath, UK

  Matthias Nickles

• School of Informatics, The University of Edinburgh, Edinburgh, United Kingdom

  Michael Rovatsos

• Software Competence Center Hagenberg GmbH, Hagenberg, Austria

  Gerhard Weiss

Policies and ethics