Abstract
This paper describes the basic concepts needed for a simulation environment capable of supporting the design of robot organizations for managing chemical, or similar, laboratories on the planned U.S. Space Station. The environment should facilitate a thorough study of the problems to be encountered in assigning the responsibility of managing a nonlife-critical, but mission valuable, process to an organized group of robots. In the first phase of the work, we seek to employ the simulation environment to develop robot cognitive systems and strategies for effective multi-robot management of chemical experiments. Later phases will explore human-robot interaction and development of robot autonomy.
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Bobrow, D.G., Qualitative Reasoning About Physical Systems, MIT Press, Cambridge, MA (1985).
Davis, P.K., Applying artificial intelligence techniques to strategic-level gaming and simulation, in Modelling and Simulation Methodology in the Artificial Intelligence Era (M.S. Elzas, T.I. Ören, B.P. Zeigler, eds.). North-Holland, Amsterdam (1986).
Hardt, S.H., Aspects of qualitative reasoning and simulation for knowledge intensive problem solving, in Modelling and Simulation Methodlogy: Knowledge System Paradigms (M.S. Elzas, T.I. Ören, B.P. Zeigler eds.). North-Holland, Amsterdam (1988).
Holland, J.H., Escaping brittleness: the possibilities of general-purpose learning algorithms applied to parallel rule-based systems, in Machine Learning: An artificial Intelligence Approach, Vol. II (R.S. Michalski, J.G. Carbonell, and T.M. Mitchel, eds.), Morgan-Kaufmann Pub. Co., Los Altos, CA (1986).
Klahr, P., Expressibility in ROSS, an object-oriented simulation system, in Artificial Intelligence in Simulation (G.C. Vansteenkiste, E.J.H. Kerckhoffs, and B.P. Zeigler, eds.), SCS Publications, San Diego, CA, (1986).
Rajogopalan, R., The role of qualitative reasoning in simulation, in Artificial Intelligence in Simulation (G.C. Vansteenkiste, E.J.H. Kerckhoffs, and B.P. Zeigler, eds.), SCS Publications, San Diego, CA (1986).
Reddy, Y.V., Fox, M.S., and Husain, N., Automating the analysis of simulations in KBS Proc. SCS Multi-Conference, San Diego, CA (1985).
Reddy, Y.V., Fox, M.S., Husain, N., and McRoberts, M., The knowledge-based simulation system, IEEE Software, March 1986, pp. 26–37.
Rozenblit, J.W. and Huang, Y.M., Constraint-driven generation of model structures, Proc. Winter Simulation Conf., Atlanta, GA (1987).
Rozenblit, J.W., Sevinc, S., and Zeigler, B.P., Knowledge-based design of LANs using system entity structure concepts, Proc. Winter Simulation Conf., Washington, D.C. (1986).
Rozenblit, J.W. and Zeigler, B.P., Design and modelling concepts, in Encyclopedia of Robotics (R. Dorf and S. Nef eds.), Wiley, New York (1988).
Sevinc, S. and Zeigler, B.P., Entity structure based design methodology: a LAN protocol example, IEEE Trans. Soft. Engr. 14-3, 375–383 (1988).
Zeigler, B.P., Multifacetted Modelling and Discrete Event Simulation, Academic Press, London (1984).
Zeigler, B.P., DEVS-Scheme: A Lips-based environment for hierarchical modular discrete event models, Tech. Rep. AIS-2, CERL Lab., Dept. of ECE, Univ. of Arizona, Tucson (1986).
Zeigler, B.P., Hierarchical, modular discrete event modelling in an object oriented environment, Simulation J., November (1987).
Zeigler, B.P., Knowledge representation from Newton to Minsky and beyond, Applied Artificial Intelligence 1, 87–107 (1987).
Zeigler, B.P., Implementation of methodology based tools in the DEVS-Scheme Environment, in Modelling and Simulation Methodology: Knowledge System Paradigms, (M.S. Elzas, T.I. Ören, B.P. Zeigler, eds.), North-Holland, Amsterdam (1988).
Zeigler, B.P., The DEVS formalism: event-based control for intelligent systems, to appear in January 1989 issue of Proc. IEEE (in press).
Zeigler, B.P. and Zhang, G., Formalization of the system entity structure knowledge representation scheme: proofs of correctness of transformations, in AI, Simulation, and Modelling (L. Widman and K.A. Lopard, eds.), Wiley, New York (1988).
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Supported by NASA-Ames Cooperative Agreement No. NCC 2-525, ‘A Simulation Environment for Laboratory Management by Robot Organizations’.
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Zeigler, B.P., Cellier, F.E. & Rozenblit, J.W. Design of a simulation environment for laboratory management by robot organizations. J Intell Robot Syst 1, 299–309 (1988). https://doi.org/10.1007/BF00238771
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DOI: https://doi.org/10.1007/BF00238771