By Eduardo Alonso, Esther Mondragón (auth.), Matthias Nickles, Michael Rovatsos, Gerhard Weiss (eds.)
This quantity includes the postproceedings of the first overseas Workshop on Computational Autonomy – power, dangers, strategies (AUTONOMY 2003), held on the 2d foreign Joint convention on independent brokers and Multi-agentSystems(AAMAS2003),July14,2003,Melbourne,Australia.Apart from revised models of the approved workshop papers, we've got integrated invited contributions from top specialists within the ?eld. With this, the current quantity represents the ?rst finished survey of the cutting-edge of analysis on autonomy, taking pictures di?erent theories of autonomy, views on autonomy in di?erent forms of agent-based platforms, and useful ways to facing agent autonomy. Agent orientation refers to a software program improvement viewpoint that has developed some time past 25 years within the ?elds of computational brokers and multiagent platforms. the fundamental idea underlying this angle is that of a computational agent, that's, an entity whose habit merits to be known as ?exible, social, and self sustaining. As an self sufficient entity, an agent possesses motion selection and is a minimum of to a point able to figuring out and appearing lower 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 specified at the improvement of structures whose habit is absolutely made up our minds and regulated by means of exterior devices (e.g., via a p- grammer at layout time and/or a person at run time), and hence inherently fail to catch the inspiration of autonomy.
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Additional resources for Agents and Computational Autonomy: Potential, Risks, and Solutions
Myers, K. (2003). Adjustable autonomy challenges in personal assistant agents: A position paper. 40. , & Morley, D. (2003). Directing agents. In H. Hexmoor, C. Castelfranchi, & R. ), Agent Autonomy. (pp. 143–162). Dordrecht, The Netherlands: Kluwer. 41. Norman, D. A. (1988). The Psychology of Everyday Things. New York: Basic Books. 42. Norman, D. A. (1992). Cognitive artifacts. In J. M. ), Designing Interaction: Psychology at the Human-Computer Interface. (pp. 17–38). Cambridge: Cambridge University Press.
2004). Software agents for process monitoring and notification. Proceedings of AIMS 04. 15. , Knoblock, C. , Pynadath, D. , Russ, T. , & Tambe, M. (2002). Electric Elves: Agent technology for supporting human organizations. AI Magazine, 2, Summer, 11–24. 16. , & Woods, D. D. (2002). How to make automated systems team players. In E. ), Advances in Human Performance and Cognitive Engineering Research, Vol. 2. JAI Press, Elsevier. 17. Clark, H. H. (1996). Using Language. Cambridge, UK: Cambridge University Press.
2002). Adjusting the autonomy in mixed-initiative systems by reasoning about interaction. In H. Hexmoor, C. Castelfranchi, & R. ), Agent Autonomy. (pp. 105–122). Dordrecht, The Netherlands: Kluwer. 20. , Lupu, E. , & Sloman, M. S. (2000). 3. Imperial College of Science, Technology and Medicine, Department of Computing, 20 October 2000. 21. Devlin, K. (1991). Logic and Information. Cambridge, England: Cambridge University Press. 22. , Bonasso, R. , & Schrekenghost, D. (1999). Adjustable autonomy for human-centered autonomous systems on Mars.