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020 _a9783540259282
_9978-3-540-25928-2
024 7 _a10.1007/b99010
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
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072 7 _aUYQ
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082 0 4 _a006.3
_223
245 1 0 _aAgents and Computational Autonomy
_h[electronic resource] :
_bPotential, Risks, and Solutions /
_cedited by Matthias Nickles, Michael Rovatsos, Gerhard Weiß.
250 _a1st ed. 2004.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2004.
300 _aX, 276 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v2969
505 0 _aModels 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 Agent’s 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.
520 _aThis 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.
650 0 _aArtificial intelligence.
650 0 _aComputer networks .
650 0 _aSoftware engineering.
650 1 4 _aArtificial Intelligence.
650 2 4 _aComputer Communication Networks.
650 2 4 _aSoftware Engineering.
700 1 _aNickles, Matthias.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aRovatsos, Michael.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aWeiß, Gerhard.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540224778
776 0 8 _iPrinted edition:
_z9783662165317
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v2969
856 4 0 _uhttps://doi.org/10.1007/b99010
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