| L. Overgaard, H. G. Petersen, and J. W. Perram. Reactive motion planning: a multi-agent approach. Applied Artificial Intelligence, 10(1):35--52, 1996. |
....factories down to FMSs, and then to individual work cells. Other systems in this area include those for: configuration design of manufacturing products [32] collaborative design [31, 115] scheduling and controlling manufacturing operations [50, 112, 116, 136] controlling a manufacturing robot [113], and determining production sequences for a factory [26, 157] Process Control: Process control is a natural application for agents, since process controllers are themselves autonomous reactive systems. It is not surprising, therefore, that a number of agent based process control applications ....
L. Overgaard, H. G. Petersen, and J. W. Perram. Reactive motion planning: a multi-agent approach. Applied Artificial Intelligence, 10(1):35--52, 1996.
.... divided into two broad camps (figure 1) The reductionist view (e.g. Erman and Lesser, 1975; Lesser and Corkill, 1983] is concerned with building effective overall systems using the notion of interacting agents, while the constructionist view (e.g. Ferber and Drogul, 1992; Fischer et al. 1996; Overgaard et al. 1996; Steels, 1989; Wavish and Graham, 1996] considers interacting agents as a given and is concerned with determining what sort of overall system emerges from them. Figure 1: Extant approaches to social decision making Whilst both of these approaches have enabled useful applications to be developed, ....
L. Overgaard, H. G. Petersen, and J. W. Perram, (1996) "Reactive motion planning: a multiagent approach" Int. Journal of Applied Artificial Intelligence 10 (1) 35-51.
.... 1991) Also by reducing the amount of design at the level of the overall system, larger problems can be tackled more easily because the scope of the individual components is narrower (Simon, 1957) Relevant exemplars include: game playing agents (Wavish and Graham, 1996) robot manipulation agents (Overgaard et al. 1996), social simulation agents (Ferber and Drogul, 1992) transportation scheduling agents (Fischer et al. 1996) and exploration agents (Steels, 1989) In such cases, the overall system, and its properties, emerge out of the interplay between the agents. The nature of this interplay is determined by ....
Overgaard, L., Petersen, H. G., and Perram, J. W., (1996) "Reactive motion planning: a multi-agent approach" Int. Journal of Applied Artificial Intelligence 10 (1) 35-51.
No context found.
L. Overgaard, H. G. Petersen and J. W. Perram. 1995. Reactive motion planning: a multi-agent approach. In this volume.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC