Get Agents and Computational Autonomy: Potential, Risks, and PDF

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 includes the postproceedings of the first foreign Workshop on Computational Autonomy – capability, dangers, recommendations (AUTONOMY 2003), held on the second foreign Joint convention on self sufficient brokers and Multi-agentSystems(AAMAS2003),July14,2003,Melbourne,Australia.Apart from revised models of the permitted workshop papers, we now have integrated invited contributions from prime specialists within the ?eld. With this, the current quantity represents the ?rst complete survey of the state of the art of analysis on autonomy, shooting di?erent theories of autonomy, views on autonomy in di?erent sorts of agent-based structures, and sensible ways to facing agent autonomy. Agent orientation refers to a software program improvement standpoint that has advanced long ago 25 years within the ?elds of computational brokers and multiagent structures. the elemental inspiration underlying this attitude is that of a computational agent, that's, an entity whose habit merits to be known as ?exible, social, and self reliant. As an self sufficient entity, an agent possesses motion selection and is no less than to a point able to identifying and appearing below strength of will. via its emphasis on autonomy, agent orientation signi?cantly di?ers from conventional engineering views equivalent to constitution orientation or item o- entation. those views are special at the improvement of structures whose habit is absolutely made up our minds and regulated by way of exterior devices (e.g., by means of a p- grammer at layout time and/or a person at run time), and hence inherently fail to seize the idea of autonomy.

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To make this discussion more concrete, we will illustrate with reference to different sorts of vacuum cleaners that embody a spectrum of autonomy. Representing the “most manual” left end of the spectrum, a plain old vacuum is directly operated as an extension of the woman’s arm (figure 8)23. Apart from the ongoing sweeping and sucking action of the motor, every action is taken at the initiative and direction of the human. On the “most autonomous” right end of the spectrum, we can imagine a “fully autonomous” vacuum that not only does the actual vacuuming on its own, but also decides when it is time to vacuum and turns itself on, decides when it is time to stop and turns itself off, and even retreats to a closet where it plugs itself into the wall and recharges in anticipation of its next sortie24.

2003). Making agents acceptable to people. In N. Zhong & J. ), Intelligent Technologies for Information Analysis: Advances in Agents, Data Mining, and Statistical Learning. (pp. in press). Berlin: Springer Verlag. 11. Bradshaw, J. , & Van Hoof, R. (2003). Adjustable autonomy and human-agent teamwork in practice: An interim report on space applications. In H. Hexmoor, R. Falcone, & C. ), Agent Autonomy. (pp. 243–280). Kluwer. Dimensions of Adjustable Autonomy and Mixed-Initiative Interaction 37 12.

Of those actions that are available to a given actor or set of actors, some subset may be judged to be independently achievable in the current context. Some actions, on the other hand, would be judged to be only jointly achievable. Finally, the set of obligated actions is determined by obligation policies that specify actions that an actor or set of actors is required to perform (positive obligations or O+ policies) or for which such a requirement is waived (negative obligations or O policies).

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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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