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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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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