Abstract
Autonomy is a crucial and powerful feature of agents and it is the subject of much research in the agent field. Controlling the autonomy of agents is a way to coordinate the behavior of groups of agents. Our approach is to look at it as a design problem for agents. We analyze the autonomy of an agent as a gradual property that is related to the degree of intervention of other agents in the decision process. We define different levels of autonomy in terms of inter-agent influences and we present a BDI-based deliberation process in which different levels of autonomy can be implemented. © 2007 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Van Der Vecht, B., Meyer, A. P., Neef, M., Dignum, F., & Meyer, J. J. C. (2007). Influence-based autonomy levels in agent Decision-making. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4386 LNAI, pp. 322–337). https://doi.org/10.1007/978-3-540-74459-7_21
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
