Abstract
In the paper we discuss variable and generative forms of autonomy. Variable autonomy is discussed in terms of the practicalities in designing autonomous agents, dealing as it does with the notion of degrees of autonomy and hence issues of agent control. The major part of the paper discusses an absolute, theoretically grounded notion of autonomy: the ability to generate one's own goals. This theoretical account of autonomy is embedded in the larger SMART framework and is intimately linked with the issue of motivation. Autonomous agents are motivated agents in that for the generation of goals an agent needs a set of higher order, non-derivative sources of action, or in our terminology, motivations. Autonomous agents in the SMART framework form the basis and source of action in multi-agent systems, which can thus propagate through the other entities in the system, such as non-autonomous agents and objects. We conclude with a discussion regarding the situations an autonomous agent would be willing to relinquish its autonomy thus linking the generative and variable notions of autonomy.
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Reference
Balkenius, C, 1993. The roots of motivation. In J. Meyer, H. L. Roitblat, and S.W. Wilson, editors, From animals to animats 2, Proceedings of the Second International Conference on Simulation of Adaptive Behavior. 513, MIT Press/Bradford Books.
Barber, S. and Martin, C, 1999. Agent Autonomy: Specification, Measurement, and Dynamic Adjustment. In Proceedings of the Autonomy Control Software Workshop, Autonomous Agents 1999 (Agents′99), 8–15, Seattle WA.
Beaudoin, L. P. and Sloman, A., 1993. A study of motive processing and attention. In Prospects for Artificial Intelligence: Proceedings of AISB93, 229–238, Birmingham.
S. Brainov and H. Hexmoor, Quantifying Relative Autonomy in Multi-agent Interaction, In Proceedings of the IJCAI′01 Workshop Autonomy, Delegation, and Control: Interacting with Autonomous Agents, 27–35, Seattle, 2001.
Calstelfranchi, C, 1995. Guarantees for Autonomy in Cognitive Agent Architecture, In Agent Theories, Languages and Languages (ATAL’94), Lecture Notes in Artificial Intelligence 890, 56–70, Springer.
d’Inverno, M. and Luck, M., 1996a. A formal view of social dependence networks. In Zhang, C. and Lukosc, D., editors, Distributed Artificial Intelligence Architecture and Modelling: Proceedings of the First Australian Workshop on Distributed AI, Lecture Notes in Artificial Intelligence 1087, 115–129, Springer-Verlag.
d’Inverno, M. and Luck, M., 1996b. Formalising the contract net as a goal directed system. In Van de Velde, W. and Perram, J.W., editors, Agents Breaking Away: Proceedings of the Seventh European Workshop on Modelling Autonomous Agents in a Multi-Agent World, Lecture Notes in Artificial Intelligence 1038, 72–85, Springer-Verlag.
d’Inverno, M. and Luck, M., 1997. Development and application of a formal agent framework. In Hinchey, M.G. and Shaoying, L., editors, Proceedings of the First IEEE International Conference on Formal Engineering Methods,, 222–231. IEEE Press.
d’Inverno, M. and Luck, M., 2000. Sociological Agents for Effective Social Action, in Proceedings of the Fourth International Conference on Multi-Agent Systems, 379–380, IEEE Computer Society.
Franklin, S. and Graesser, A.,1997. Is it an agent or just a program?: A taxonomy for autonomous agents. In Muller, J.P., Wooldridge, M.J. and Jennings, N.R., editors, Intelligent Agents III-Proceedings of the Third International Workshop on Agent Theories, Architectures, and Languages, Lecture Notes in Artificial Intelligence, 1193, 21–35. Springer.
Halliday, T., 1983. Motivation. In Halliday, T. R. and Slater, P.J.B., editors, Causes and Effects. Blackwell Scientific.
Halperin, J.R.P., 1991. Machine motivation. In Meyer, J.A. and Wilson, S.W., editors, Proceedings of the First International Conference on Simulation of Adaptive Behaviour: From Animals to Animats, 238–246. MIT Press/Bradford Books.
Hinde, R. A., 1982. Ethology: Its nature and relations with other sciences. Fontana Press.
Kunda, Z., 1990. The case for motivated reasoning. Psychological Bulletin, 108(3):480–498.
Luck, M., 1993. Motivated Inductive Discovery. PhD thesis, University of London, London.
Luck, M. and d’Inverno, M., 1995. A formal framework for agency and autonomy. In Proceedings of the First International Conference on Multi-Agent Systems, 254–260. AAAI Press / MIT Press.
Luck, M. and d’Inverno, M., 1996. Engagement and cooperation in motivated agent modeling. In Distributed Artificial Intelligence Architecture and Modeling: Proceedings of the First Australian Workshop on Distributed AI, Lecture Notes in Artificial Intelligence 1087, 70–84. Springer.
Luck, M. and d’Inverno, M, 2001. Autonomy: A Nice Idea in Theory. In Intelligent Agents VII, Lecture Notes in Artificial Intelligence 1986, 351–353, Springer.
Maes, P., 1989a. The dynamics of action selection. In Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, 991–997, Detroit.
Maes, P., 1989b. How to do the right thing. Connection Science, l(3):291–323.
Maes, P., 1991, A bottom-up mechanism for behaviour selection in an artificial creature. In J. A. Meyer and S.W. Wilson, editors, Proceedings of the First International Conference on Simulation of Adaptive Behaviour: From Animals to Animals, 238–246. MIT Press/Bradford Books.
Moffat, D. and Frijda, N.H., 1995. Where there’s a will there’s an agent. In M. Wooldridge and N. R. Jennings, editors, Intelligent Agents: Theories, Architectures, and Languages, Lecture Notes in Artificial Intelligence 890, 245–260. Springer.
Moffat, D., Frijda, N.H. and Phaf, R.H., 1993. Analysis of a model of emotions. In Prospects for Artificial Intelligence: Proceedings of AISB93, 219–228, Birmingham.
Norman, T.J. and Long, D., 1995. Goal creation in motivated agents. In Wooldridge, M.J. and Jennings, N.R., editors, Intelligent Agents: Theories, Architectures, and Languages, Lecture Notes in Artificial Intelligence 890, 277–290. Springer.
Norman, T.J. and Long, D., 1996. Alarms: An implementation of motivated agency. In M. Wooldridge, J.P. Muller, and M. Tambe, editors, Intelligent Agents: Theories, Architectures, and Languages, Lecture Notes in Artificial Intelligence 1031, 219–234. Springer.
Schnepf, U., 1991. Robot ethology: A proposal for the research into intelligent autonomous systems. In J. A. Meyer and S.W. Wilson, editors, Proceedings of the First International Conference on Simulation of Adaptive Behaviour: From Animals to Animats, 465–474. MIT Press/Bradford Books.
Simon, H.A., 1979. Motivational and emotional controls of cognition. In Models of Thought, 29–38. Yale University Press.
Sloman, A., 1987. Motives, mechanisms, and emotions. Cognition and Emotion, 1(3):217–233.
Sloman, A. and Croucher, M., 1981. Why robots will have emotions. In Proceedings of the Seventh International Joint Conference on Artificial Intelligence, 197–202, Vancouver, B.C.
Waltz, D.L., 1991. Eight principles for building an intelligent robot. In J. A. Meyer and S.W. Wilson, editors, Proceedings of the First International Conference on Simulation of Adaptive Behaviour: From Animals to Animats. 462–464, MIT Press/Bradford Books.
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Luck, M., D’Inverno, M., Munroe, S. (2003). Autonomy: Variable and Generative. In: Hexmoor, H., Castelfranchi, C., Falcone, R. (eds) Agent Autonomy. Multiagent Systems, Artificial Societies, and Simulated Organizations, vol 7. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-9198-0_2
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DOI: https://doi.org/10.1007/978-1-4419-9198-0_2
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