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E-grāmata: Agents and Computational Autonomy: Potential, Risks, and Solutions

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  • Formāts: PDF+DRM
  • Sērija : Lecture Notes in Artificial Intelligence 2969
  • Izdošanas datums: 05-Aug-2004
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Valoda: eng
  • ISBN-13: 9783540259282
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  • Formāts: PDF+DRM
  • Sērija : Lecture Notes in Artificial Intelligence 2969
  • Izdošanas datums: 05-Aug-2004
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Valoda: eng
  • ISBN-13: 9783540259282
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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.

Papildus informācija

Springer Book Archives
Models and Typologies.- Agency, Learning and Animal-Based Reinforcement
Learning.- Agent Belief Autonomy in Open Multi-agent Systems.- Dimensions of
Adjustable Autonomy and Mixed-Initiative Interaction.- Founding Autonomy: The
Dialectics Between (Social) Environment and Agents Architecture and Powers.-
Agent Autonomy Through the 3 M Motivational Taxonomy.- A Taxonomy of Autonomy
in Multiagent Organisation.- Autonomy and Reasoning for Natural and
Artificial Agents.- Types and Limits of Agent Autonomy.- Autonomy in
Multi-agent Systems: A Classification Attempt.- Autonomy and Agent
Deliberation.- Requirements for Achieving Software Agents Autonomy and
Defining Their Responsibility.- Design and Applications.- Agent Design from
the Autonomy Perspective.- From Individual Based Modeling to Autonomy
Oriented Computation.- Toward Quantum Computational Agents.- Adjustable
Autonomy Challenges in Personal Assistant Agents: A Position Paper.- Autonomy
in an Organizational Context.- Dynamic Imputation of Agent Cognition.- I am
Autonomous, You are Autonomous.- Agents with Initiative: A Preliminary
Report.- A Teamwork Coordination Strategy Using Hierarchical Role
Relationship Matching.- A Dialectic Architecture for Computational Autonomy.