By Henry Hexmoor, Cristiano Castelfranchi, Rino Falcone (auth.), Henry Hexmoor, Cristiano Castelfranchi, Rino Falcone (eds.)
Autonomy is a characterizing inspiration of brokers, and intuitively it is vitally unambiguous. the standard of autonomy is famous while it truly is perceived or skilled, but it really is tricky to restrict autonomy in a definition. the need to construct brokers that show a passable caliber of autonomy comprises brokers that experience a longevity, are hugely autonomous, can harmonize their targets and activities with people and different brokers, and are normally socially adept. Agent Autonomy is a set of papers from top foreign researchers that approximate human instinct, dispel fake attributions, and aspect tips on how to scholarly puzzling over autonomy. a big selection of matters approximately sharing keep an eye on and initiative among people and machines, in addition to matters approximately peer point agent interplay, are addressed.
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It is this latter notion that has been the main focus of this paper. One last consideration is needed with regard to autonomy: when is it needed? Autonomy's main advantages of flexibility and robustness in the face of dynamic, open worlds can be distinctly undesirable in certain agent domains. Indeed, the strong view of autonomy can be very dangerous if used for example in military applications for tank or missile control. Indeed introducing autonomy into any form of safety critical domain demands extreme caution and extensive testing and may well be best served by other forms of agent control.
Cognition and Emotion, 1(3):217233. Sloman, A. , 1981. Why robots will have emotions. C. , 1991. Eight principles for building an intelligent robot. In J. A. W. Wilson , editors, Proceedings of the First International Conference on Simulation of Adaptive Behaviour: From Animals to Animats. 462·464, MIT Press/Bradford Books. Chapter 3 Representing and Analyzing Adaptive Decision-Making Frameworks K. S. BARBERI, I. M. GAMBA2, AND C. E. 3Electrical and Computer Engineering Department. The University ofTexas at Austin, Austin, TX78712 2Department ofMathematics and T1CAM, The University of Texas at Austin, Austin, TX 78712 Key words: decision-making frameworks, adaptive autonomy, adjustable autonomy Abstract: This chapter presents a view of agent autonomy based on decision-making control.
Although autonomy has often been promoted as an essential, defining property of agenthood, there is little further agreement about this concept (Foner, 1993; Luck and D'Inverno, 1995; Wooldridge and Jennings, 1995). , 2000; Musliner and Krebsbach, 1999). This chapter presents the viewpoint of autonomy as decision-making control and presents theoretical and empirical research results supporting the performance improvements that can be leveraged by implementing adaptive autonomy through the capability of Adaptive Decision-Making Frameworks (ADMF).