Alternative Analysis for Computational Holon Architectures.

Abstract : This effort investigated programming languages computer processors and simulation techniques capable of supporting the development of an advanced framework for human performance process model research. The framework, the holon cognitive architecture, conceptualizes the mind as consisting of a set of interactive agents. These agents are abstract models of neuronal activity occuring in the brain. This document contains an analysis of the computation requirements needed to simulate human performance process models based upon the holon cognitive architecture and suggest a growth path based upon a heterogeneous computing environment. (KAR) P. 3

[1]  J. G. Hollands,et al.  Engineering Psychology and Human Performance , 1984 .

[2]  Bernard P. Zeigler,et al.  Object-oriented simulation with hierarchical, modular models , 1990 .

[3]  CaudillMaureen Neural networks primer, part I , 1987 .

[4]  Shirish S. Sathaye,et al.  Generalized rate-monotonic scheduling theory: a framework for developing real-time systems , 1994, Proc. IEEE.

[5]  I. G. BONNER CLAPPISON Editor , 1960, The Electric Power Engineering Handbook - Five Volume Set.

[6]  Bernard P. Zeigler,et al.  Extending the DEVS-Scheme knowledge-based simulation environment for real-time event-based control , 1993, IEEE Trans. Robotics Autom..

[7]  Henri E. Bal,et al.  Experience with the Distributed Data Structure Paradigm in Linda , 1989 .

[8]  Bernard P. Zeigler,et al.  Multifacetted Modelling and Discrete Event Simulation , 1984 .

[9]  Arthur Koestler,et al.  Janus: A Summing Up , 1978 .

[10]  Eric G. Manning,et al.  Distributed Simulation Using a Network of Processors , 1979, Comput. Networks.

[11]  Peter L. Reiher Parallel simulation using the Time Warp Operating System , 1990, 1990 Winter Simulation Conference Proceedings.

[12]  Sallie V. Sheppard,et al.  Automatic model synthesis: using automatic programming and expert systems techniques toward simulation modeling , 1987, WSC '87.

[13]  Michael J Young,et al.  A Cognitive Architecture for Human Performance Process Model Research , 1992 .

[14]  Alan Burns,et al.  Real-time systems and their programming languages , 1986, International computer science series.

[15]  Viktor K. Prasanna,et al.  Heterogeneous computing: challenges and opportunities , 1993, Computer.

[16]  Nicholas Carriero,et al.  Linda and Friends , 1986, Computer.

[17]  Osman Balci,et al.  Requirements for model development environments , 1986, Comput. Oper. Res..

[18]  Joel Oren,et al.  Survey of commercial parallel machines , 1993, CARN.

[19]  Bernard P. Zeigler,et al.  Hierarchical, modular discrete-event modelling in an object-oriented environment , 1987 .

[20]  S. Kosslyn Image and mind , 1982 .

[21]  Panos J. Antsaklis,et al.  Towards intelligent autonomous control systems: Architecture and fundamental issues , 1989, J. Intell. Robotic Syst..

[22]  Mark S. Fox,et al.  The Kowledge-Based Simulation System , 1986, IEEE Software.

[23]  A. Damasio Time-locked multiregional retroactivation: A systems-level proposal for the neural substrates of recall and recognition , 1989, Cognition.

[24]  Bernard P. Zeigler,et al.  Theory of Modelling and Simulation , 1979, IEEE Transactions on Systems, Man, and Cybernetics.

[25]  M. J. Young Successively Approximating Human Performance , 1993 .

[26]  J. Meigs,et al.  WHO Technical Report , 1954, The Yale Journal of Biology and Medicine.

[27]  David R. Jefferson,et al.  Virtual time , 1985, ICPP.

[28]  H. T. Kung,et al.  The design of nectar: a network backplane for heterogeneous multicomputers , 1989, ASPLOS III.

[29]  D. Hammerstrom,et al.  Working with neural networks , 1993, IEEE Spectrum.

[30]  Kai Hwang,et al.  Computer architecture and parallel processing , 1984, McGraw-Hill Series in computer organization and architecture.

[31]  Joseph J. Talavage,et al.  A hybrid paradigm for modeling of complex systems , 1987, Simul..

[32]  Stephen Downes-Martin,et al.  Two AI languages for simulation , 1991 .

[33]  Tom M. Mitchell,et al.  In Architectures for Intelligence , 1989 .

[34]  Jean C. Walrand,et al.  Wolf: a rollback algorithm for optimistic distributed simulation systems , 1988, WSC '88.

[35]  Bernard P. Zeigler,et al.  Knowledge-Based Design and Simulation Environment (KBDSE): Foundational Concepts and Implementation , 1990 .

[36]  J. S. Albus,et al.  A theory of intelligent systems , 1990, Proceedings. 5th IEEE International Symposium on Intelligent Control 1990.

[37]  R. L. Gimarco Distributed simulation using hierarchical rollback , 1989, WSC '89.

[38]  John R. Anderson The Adaptive Character of Thought , 1990 .

[39]  K. Mani Chandy,et al.  Asynchronous distributed simulation via a sequence of parallel computations , 1981, CACM.

[40]  Paul A. Fishwick,et al.  Toward an integrated approach to simulation model engineering , 1990 .

[41]  G. Reeke Marvin Minsky, The Society of Mind , 1991, Artif. Intell..

[42]  Richard M. Fujimoto Lookahead in Parallel Discrete Event Simulation , 1988 .

[43]  Ray J. Paul,et al.  CASM—The Right Environment for Simulation , 1986 .

[44]  Peter D. Morgan,et al.  Simulation of an adaptive behavior mechanism in an expert decision-maker , 1993, IEEE Trans. Syst. Man Cybern..

[45]  David H. Bailey,et al.  NAS parallel benchmark results , 1993, IEEE Parallel & Distributed Technology: Systems & Applications.

[46]  Yung-Hsin Wang THE IMPLEMENTATION OF THE HIERARCHICAL ABSTRACT SIMULATOR ON THE IPSC COMPUTER , 1987 .

[47]  G. Taylor,et al.  Of workstations and supercomputers , 1993, IEEE Spectrum.

[48]  Shimon Y. Nof,et al.  International Encyclopedia of Robotics: Applications and Automation , 1988 .

[49]  S. T. Allworth,et al.  Introduction to Real-time Software Design , 1987 .

[50]  Jayadev Misra,et al.  Distributed discrete-event simulation , 1986, CSUR.

[51]  J. Dongarra Performance of various computers using standard linear equations software , 1990, CARN.

[52]  Frederick Hayes-Roth,et al.  Building expert systems , 1983, Advanced book program.

[53]  T. Shallice What ghost in the machine? , 1992, Nature.

[54]  R. M. Fujimoto,et al.  Parallel discrete event simulation , 1989, WSC '89.

[55]  Ross Evan Johnson,et al.  Extending the scalable coherent interface for large-scale shared-memory multiprocessors , 1993 .

[56]  Bernard P. Zeigler,et al.  Model base management for multifacetted systems , 1991, TOMC.

[57]  William Leler,et al.  Linda meets Unix , 1990, Computer.

[58]  Bernard P. Zeigler,et al.  Concepts for advanced simulation methodologies , 1979 .

[59]  J. Shaoul Human Error , 1973, Nature.

[60]  Andrew S. Tanenbaum,et al.  The Amoeba Distributed Operating System , 1992 .

[61]  Beverly M. Huey,et al.  Human Performance Models for Computer-Aided Engineering , 1990 .

[62]  Joel L. Davis,et al.  An Introduction to Neural and Electronic Networks , 1995 .

[63]  Charles C. Weems,et al.  A multiple-level heterogeneous architecture for image understanding , 1990, [1990] Proceedings of the International Conference on Application Specific Array Processors.

[64]  Michael Mascagni The Metaphorical Brain. 2. Neural Networks and Beyond M. A. Arbib, 1989 New York: Wiley ISBN 0-471-09853-1, xiv+458 pp., λ43.20 , 1990 .