Eduardo Alonso, Esther Mondragón (auth.), Matthias Nickles,'s 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 overseas Workshop on Computational Autonomy – power, dangers, ideas (AUTONOMY 2003), held on the 2d overseas Joint convention on self sufficient brokers and Multi-agentSystems(AAMAS2003),July14,2003,Melbourne,Australia.Apart from revised models of the authorised workshop papers, we have now incorporated invited contributions from major specialists within the ?eld. With this, the current quantity represents the ?rst complete survey of the cutting-edge of study on autonomy, shooting di?erent theories of autonomy, views on autonomy in di?erent varieties of agent-based platforms, and useful ways to facing agent autonomy. Agent orientation refers to a software program improvement point of view that has advanced some time past 25 years within the ?elds of computational brokers and multiagent structures. the fundamental suggestion underlying this attitude is that of a computational agent, that's, an entity whose habit merits to be referred to as ?exible, social, and self sufficient. As an self reliant entity, an agent possesses motion selection and is at the least to some degree in a position to determining and performing less than strength of mind. via its emphasis on autonomy, agent orientation signi?cantly di?ers from conventional engineering views comparable to constitution orientation or item o- entation. those views are unique at the improvement of structures whose habit is absolutely decided and regulated through exterior devices (e.g., by means of a p- grammer at layout time and/or a person at run time), and therefore inherently fail to seize the inspiration of autonomy.

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Extra info for Agents and Computational Autonomy: Potential, Risks, and Solutions

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Straightforward objective of replacing whenever feasible any task currently performed by a human with a machine that could do the same task better, faster, or cheaper— became one of the first issues to attract the notice of early human factors researchers. These researchers attempted to systematically characterize the general strengths and weaknesses of humans and machines [26]. The resulting discipline of function allocation aimed to provide a rational means of determining which system-level functions should be carried out by humans and which by machines.

Social order and adaptability in animal, human, and agent communities. Proceedings of the Fourth International Workshop on Engineering Societies in the Agents World, (pp. 73–85). Imperial College, London, 25. , & Miller, B. (1996). TRAINS-95: Towards a mixed-initiative planning assistant. Proceedings of the Third Conference on Artificial Intelligence Planning Systems (AIPS-96), (pp. 70–77). Edinburgh, Scotland, 26. Fitts, P. M. ). (1951). Human Engineering for an Effective Air Navigation and Traffic Control System.

In D. Fensel, K. Sycara, & J. ), The Semantic Web— ISWC 2003. Proceedings of the Second International Semantic Web Conference, Sanibel Island, Florida, USA, October 2003, LNCS 2870. (pp. 419–437). Berlin: Springer. 53. , Bradshaw, J. , & Aitken, S. (2004). Policy and contract management for semantic web services. AAAI 2004 Spring Symposium Workshop on Knowledge Representation and Ontology for Autonomous Systems. it Abstract. ‘Autonomy’, with ‘interaction’ the central issue of the new Agentbased AI paradigm, has to be recollected to the internal and external powers and resources of the Agent.

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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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