Download PDF by Eduardo Alonso, Esther Mondragón (auth.), Matthias Nickles,: Agents and Computational Autonomy: Potential, Risks, and

By Eduardo Alonso, Esther Mondragón (auth.), Matthias Nickles, Michael Rovatsos, Gerhard Weiss (eds.)

ISBN-10: 3540224777

ISBN-13: 9783540224778

ISBN-10: 3540259287

ISBN-13: 9783540259282

This quantity comprises the postproceedings of the first overseas Workshop on Computational Autonomy – capability, hazards, strategies (AUTONOMY 2003), held on the 2d foreign Joint convention on self reliant brokers and Multi-agentSystems(AAMAS2003),July14,2003,Melbourne,Australia.Apart from revised models of the accredited workshop papers, we've incorporated invited contributions from major specialists within the ?eld. With this, the current quantity represents the ?rst finished survey of the cutting-edge of study on autonomy, taking pictures di?erent theories of autonomy, views on autonomy in di?erent types of agent-based platforms, and useful techniques to facing agent autonomy. Agent orientation refers to a software program improvement standpoint that has developed some time past 25 years within the ?elds of computational brokers and multiagent structures. the fundamental idea underlying this attitude is that of a computational agent, that's, an entity whose habit merits to be referred to as ?exible, social, and independent. As an self reliant entity, an agent possesses motion selection and is a minimum of to some degree able to determining and appearing lower than strength of mind. via its emphasis on autonomy, agent orientation signi?cantly di?ers from conventional engineering views similar to constitution orientation or item o- entation. those views are designated at the improvement of platforms whose habit is totally made up our minds and regulated by way of exterior devices (e.g., via a p- grammer at layout time and/or a consumer at run time), and therefore inherently fail to seize the concept of autonomy.

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Agent Autonomy. (pp. 163–190). Dordrecht, The Netherlands: Kluwer. 46. , & Thronesbery, C. (2003). Specifying organizational policies and individual preferences for human-software interaction. Submitted for publication. Dimensions of Adjustable Autonomy and Mixed-Initiative Interaction 39 47. Shalin, V. , Geddes, N. , Szczepkowski, M. , & DuBois, D. (1997). Expertise in dynamic, physical task domains. In P. J. Feltovich, K. M. Ford, & R. R. ), Expertise in Context: Human and Machine. (pp. 195–217).

125–128). M. Bradshaw et al. 28. Gibson, J. J. (1979). The Ecological Approach to Visual Perception. Boston, MA: Houghton Mifflin. 29. Guinn, C. I. (1999). Evaluating mixed-initiative dialog. IEEE Intelligent Systems, September–October, 21–23. 30. Hancock, P. , & Scallen, S. F. (1998). Allocating functions in human-machine systems. In R. Hoffman, M. F. Sherrick, & J. S. ), Viewing Psychology as a Whole. (pp. 509–540). : American Psychological Association. 31. , & Castelfranchi, C. ). (2003). Agent Autonomy.

Evaluating mixed-initiative dialog. IEEE Intelligent Systems, September–October, 21–23. 30. Hancock, P. , & Scallen, S. F. (1998). Allocating functions in human-machine systems. In R. Hoffman, M. F. Sherrick, & J. S. ), Viewing Psychology as a Whole. (pp. 509–540). : American Psychological Association. 31. , & Castelfranchi, C. ). (2003). Agent Autonomy. Dordrecht, The Netherlands: Kluwer. 32. , Ford, K. , Woods, D. , & Feltovich, A. (2002). A rose by any other name... would probably be given an acronym.

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Agents and Computational Autonomy: Potential, Risks, and Solutions by Eduardo Alonso, Esther Mondragón (auth.), Matthias Nickles, Michael Rovatsos, Gerhard Weiss (eds.)


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