The once and future analog alternative: Evolvable hardware and analog computation

Proceedings - NASA/DoD Conference on Evolvable Hardware, EH

Volumn 2003-January, Issue , 2003, Pages 43-49

  Gallagher, J C ^a  

^a Wright State University   (United States)

Author keywords

AC generators; Analog computers; Application software; Computer science; Digital circuits; Equations; Fabrication; Hardware; Mathematical model; Voltage

Indexed keywords

AC GENERATORS; ALGORITHMS; ANALOG COMPUTERS; APPLICATION PROGRAMS; COMPUTER SCIENCE; DIGITAL CIRCUITS; DIGITAL COMPUTERS; ELECTRIC POTENTIAL; FABRICATION; HARDWARE; INTEGRATED CIRCUITS; MATHEMATICAL MODELS; NASA;

ANALOG COMPUTATION; CIRCUIT FABRICATION; CURRENT GENERATION; DIGITAL COUNTERPARTS; EQUATION SOLVING; EQUATIONS; EVOLVABLE HARDWARE; PHYSICAL SYSTEMS;

COMPUTER HARDWARE;

EID: 78049376501     PISSN: 15506029     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EH.2003.1217641     Document Type: Conference Paper

References (25)

1. Small, J.S. (2001). The Analogue Alternative: The Electronic Analogue Computer in Britain and the USA, 1930-1975. Routledge, London.
2. Gallagher, J.C. and Fiore, J.M. (2000). Continuous time recurrent neural networks: a paradigm for evolvable analog controller controller circuits. The Proceedings of the National Aerospace and Electronics Conference, October, 2000. IEEE Press.
3. Gallagher, J.C. (2001). A neuromorphic paradigm for extrinsically evolved hybrid analog/digital device controllers: initial explorations. in The Proceedings of the Third NASA/DoD Workshop on Evolvable Hardware. IEEE Press.
4. Gallagher, J.C. and Vigraham, S. (2002). A modified compact genetic algorithm for the intrinsic evolution of continuous time recurrent neural networks.
5. Gallagher, J.C., Vigraham, S., and Kramer, Gregory. (2002). A family of modified compact genetic algorithms for intrinsic evolvable hardware. Submitted.
6. Gallagher, J.C. and Beer, R.D. (1993). A qualitative dynamical systems analysis of evolved locomotion controllers. in From Animals to Animats 2: Proceedings of the Second International Conference on the Simulation of Adaptive Behavior (pp 71-80). MIT Press.
7. Beer, R.D. (1995). On the dynamics of small continuous-time recurrent neural networks. Adaptive Behavior 3(4):469-509.
8. Gallagher, J.C., Beer, R.D., Espenschied, K.S. & Quinn, R.D. (1996). Applications of evolved locomotion controllers to a hexapod robot. Robotics and Autonomous Systems 19(1):95-103.
9. Hopfield, J.J. (1984). Neurons with graded response properties have collective computational properties like those of two-state neurons, in Proceedings of the National Academy of Sciences 81:3088-3092
10. Hopfield, J.J. and Tank, D. (1985). "Neural" computation of decisions in optimization problems. Biological Cybernetics, Vol. 52. pp. 141-152
11. Funahashi, K and Nakamura, Y. (1993), Approximation of dynamical systems by continuous time recurrent neural networks, in Neural Networks 6:801-806
12. Ryckebusch, S., Mead, C.A., and Bower, J. (1988) Modeling small oscillating biological networks in analog VLSI", In Proceedings of the Neural Information Processing Systems Conference. Morgan-Kaufmann.
13. Mead, C.A., (1989). Analog VLSI and Neural Systems, Addison-Wesley, New York
14. Meador, J., Wu, A., Cole, C. et. al., (1990). Programmable impulse neural circuits, in IEEE Transactions on Neural Networks 2(1), 101-109
15. Del Corso, D., Gregoretti, F., et. al. (1990). An artificial neural network based on multiplexed pulse streams", in Proceedings of the ITG/IEEE Workshop on Microelectronics for Neural Networks. Dortmund, Germany.
16. Murray, A. and Tarassenko, L. (1994). Analogue Neural VLSI : A Pulse Stream Approach. Chapman and Hall, London.
17. Maass, W. and Bishop, C. (1999). Pulsed Neural Networks. MIT Press.
18. Gallagher, J.C. (1998) A Dynamical Systems Analysis of the Neural Basis of Behavior in an Artificial Autonomous Agent. Ph.D. Dissertation, Department of Computer Engineering and Science (Case Western Reserve University, Cleveland, 1998)
19. Beer, R.D., Chiel, H.J. and Gallagher, J.C. (1999). Evolution and analysis of model CPGs for walking II. general principles and individual variability. Computational Neuroscience 7(2):119-147.
20. Chiel, H.J., Beer, R.D. and Gallagher, J.C. (1999). Evolution and analysis of model CPGs for walking I. dynamical modules. J. Computational Neuroscience 7:(2):99-118.
21. Kajitani, T., Hoshino, T. Nishikawa, D. et.al. (1998). A gate-level EHW chip: implementing GA operations and reconfigurable hardware on a single LSI. in Proceedings of the International Conference on Evolvable Hardware (ICES 1998).
22. Scott, S. and Seth, A. (1995). HGA: a hardware-based genetic algorithm, in Proceedings of the ACM/SIGDA Third International Symposium on Field-Programmable Gate Arrays.
23. Yoshida, N. and Yasuoka, T. (1999). Multi-gap: parallel and distributed genetic algorithms in VLSI. in Proceedings of the International Conference on Systems, Man and Cybernetics
24. Harik, G., Lobo, F. and Goldberg, D. (1999). The compact genetic algorithm, in IEEE Transactions on Evolutionary Computation vol 3. no. 4. IEEE Press.
25. Aporntewan, C. and Chongstitvatana, P. (2001). A hardware implementation of the compact genetic algorithm. in The Proceedings of the 2001 IEEE Congress on Evolutionary Computation. Seoul, Korea. IEEE Press.