Using genetic algorithms for sparse distributed memory initialization

Proceedings of the 1999 Congress on Evolutionary Computation, CEC 1999

Volumn 2, Issue , 1999, Pages 1043-1050

  Anwar, Ashraf ^a   Dasgupta, Dipankar ^a   Franklin, Stan ^a  

^a UNIVERSITY OF MEMPHIS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ASSOCIATIVE PROCESSING; GENETIC ALGORITHMS;

ASSOCIATIVE MEMORY; LEVEL OF ABSTRACTION; MEMORY CAPACITY; MICHIGAN APPROACHES; SPARSE DISTRIBUTED MEMORY; STORAGE SPACES;

ALGORITHMS;

EID: 84901443253     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.1999.782538     Document Type: Conference Paper

References (69)

1. Anwar, Ashraf (1997) TLCA: Traffic Light Control Agent. Master's Thesis, The University of Memphis, TN, USA, Dec. 1997.
2. Baluja, S. (1992) A Massively Distributed Parallel Genetic Algorithm (mdpGA), Technical Report CMUCS92496, Carnegie Mellon University, School of Computer Science.
3. Bogner, Myles, Ramamurthy, Uma, and Franklin, Stan (In Press) Consciousness and Conceptual Learning in a Socially Situated Agent.
4. Brown, R. (1987) Two Demonstrations and a Simulator for a Sparse Distributed Memory. RIACS-TR-87.17, NASA Ames Research Center, Moffett Field, CA, USA.
5. Chou, P. (1989) The Capacity of the Kanerva Associative Memory is Exponential. Stanford University, CA, USA.
6. Collins, R. J., and Jefferson, D. R. (1991) Selection in Massively Parallel Genetic Algorithms. Proceedings of the 4th International Conference on Genetic Algorithms (ICGA91), (Eds. Belew, R-K., and Booker, L. B.), p 249-56, San Diego, CA.
7. Danforth, D. (1990) An Empirical Investigation of Sparse Distributed Memory using Discrete Speech Recognition. Proceedings of the International Neural Networks Conference, Paris 1990, v 1. Kluwer Academic Press, Norwell, USA, p 183-6.
8. Dasgupta, D. and Michalewicz, Z. (1997) Evolutionary Algorithms in engineering Applications. Springer Press.
9. Davis, L. (1991) Handbook of Genetic Algorithms. Von Nostrand Reinhold, New York, first edition.
10. Denning, Peter. (1989) Sparse Distributed Memory. American Scientist, Jul/Aug. 1989 v 77, p 333.
11. Evans, Richard, and Surkan, Alvin. (1991) Relating Number of Processing Elements in a Sparse Distributed Memory Model to Learning Rate and Generalization. APL Quote Quad, Aug. 1991 v 21 n 4, p 166.
12. Fan, K., and Wang, Y. (1992) Sparse distributed memory for use in recognizing handwritten character. Proceedings of the International Conference on Computer Processing of Chinese and Oriental Languages, 1992, p 412-6.
13. Fan, K., and Wang, Y. (1997) A genetic sparse distributed memory approach to the application of handwritten character recognition. Pattern Recognition, 1997 v 30 n 12, p 2015.
14. Flynn, M., Kanerva, Pentti, Ahanin, B., et al (1987) Sparse Distributed Memory Prototype: Principles of Operation. CSL-TR-87.338, Computer Systems Lab, Stanford University, CA, USA.
15. Franklin, Stan. (1995) Artificial Minds. MIT Press.
16. Franklin, Stan. (1997) Autonomous Agents as Embodied Al. Cybernetics and Systems, special issue on Epistemological Issues in Embedded AI.
17. Franklin, Stan, and Graesser, Art. (1997) Is it an Agent, or just a Program? A Taxonomy for Autonomous Agents. Proceedings of the Third International Workshop on Agent Theories, Architectures, and Languages, published as Intelligent Agents III, Springer-Verlag, p21-35.
18. Franklin, Stan, Kelemen, Arpad, and McCauley, Lee. (1998) IDA: A Cognitive Agent Architecture. IEEE transactions on Systems, Man, and Cybernetics, 1998.
19. Glenberg, Arthur M. (1997) What Memory is for? Behavioral and Brain Sciences.
20. Goldenberg, David E. (1989) Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley Inc.
21. nd International Conference on Genetic Algorithms (ICGA87). Cambridge, MA, USA, Jul. 1987. Lawrence Erlbaum Associates, 1987, p 202-9.
22. th National Conference on Artificial Intelligence (AAAI88), p 596-600.
23. rd Workshop on Foundations of Genetic Algorithms (FOGA94). Estes Park, CO, USA, 1994, p 139-62.
24. Hamalainen, T., Klapuri, H., and Kaski, K. (1997) Parallel realizations of Kanerva's Sparse Distributed Memory in a tree-shaped computer. Concurrency practice and experience, Sep. 1997 v9 n9, p 877.
25. Hely, T. (1994) The Sparse Distributed Memory: A Neurobiologically Plausible Memory Model? Master's Thesis, Dept. of Artificial Intelligence, Edinburgh University.
26. Hely, T., Willshaw, D. J., and Hayes, G. M. (1997) A New Approach to Kanerva's Sparse Distributed Memory. IEEE transactions on Neural Networks, May 97, v 8 n 3, p 791.
27. Hong, H., and Chen, S. (1991) Character Recognition in a Sparse Distributed Memory. IEEE transactions on Systems, Man, and Cybernetics, May 91, v 21 n 3, p 674.
28. Jaeckel, L. (1989a) A Class of Designs for a Sparse Distributed Memory. RIACS-TR-89.30, NASA Ames Research Center, Moffett Field, CA, USA.
29. Jaeckel, L. (1989b) An Alternative Design for a Sparse Distributed Memory. RIACS-TR-89.28, NASA Ames Research Center, Moffett Field, CA, USA.
30. Joglekar, U. (1989) Learning to read aloud: a neural network approach using Sparse Distributed Memory. RIACS-TR-89.27, NASA Ames Research Center, Moffett Field, CA, USA.
31. Kanerva, Pentti, Raugh, Michael. (1987) Sparse Distributed Memory. RIACS, Annual Report 1987, NASA Ames Research Center, Moffett Field, CA, USA.
32. Kanerva, Pentti. (1988a) Sparse Distributed Memory. MIT Press.
33. Kanerva, Pentti. (1988b) The Organization of an Autonomous Learning System. RIACS-TR-88, NASA Ames Research Center, Moffett Field, CA, USA.
34. Kanerva, Pentti. (1989) A Cerebellar-Model Associative Memory as a Generalized Random Access Memory. RIACS-TR-89.11, NASA Ames Research Center, Moffett Field, CA, USA.
35. Kanerva, Pentti. (1992) Sparse Distributed Memory and Related Models. RIACS-TR-92.10, NASA Ames Research Center, Moffett Field, CA, USA.
36. Kanerva, Pentti (1993) Sparse Distributed Memory and Related Models. Associative Neural Memories Theory and Implementation (Ed. Hassoun, M.), Oxford University Press, Oxford, UK, p 51-75.
37. Karlsson, Roland. (1995) Evaluation of a Fast Activation Mechanism for the Kanerva SDM. RWCP Neuro SICS Laboratory.
38. Keeler, J. (1987) Capacity for patterns and sequences in Kanerva's SDM as compared to other associative memory models. RIACS-TR-87.29, NASA Ames Research Center, Moffett Field, CA, USA.
39. Keeler, J. (1988) Comparison between Kanerva's SDM and Hopfield-type neural network. Cognitive Science 12, 1988, p 299-329.
40. Kosslyn, Stephen M., and Koenig, Olivier. (1992) Wet Mind. Macmillan Inc.
41. Kristoferson, Jan. (1995a) Best Probability of Activation and Performance Comparisons for Several Designs of SDM. RWCP Neuro SICS Laboratory.
42. Kristoferson, Jan. (1995b) Some Comments on the Information Stored in SDM. RWCP Neuro SICS Laboratory.
43. th Distributed Memory Computing Conference, Apr. 1991, Portland, OR, USA, p 686-93.
44. Manevitz, L. M., and Zemach, Y. (1997) Assigning meaning to data: using sparse distributed memory for multilevel cognitive tasks. Neurocomputing, Jan 1997 v 14 n 1, p15.
45. McCauley, Thomas L., and Franklin, Stan. (1998) An Architecture for Emotion. AAAI Fall Symposium "Emotional and Intelligent: The Tangled Knot of Cognition".
46. th International Conference on Genetic Algorithms (ICGA91), p 2718, (Eds. Belew, RK., and Booker, L. B.), San Diego, CA.
47. nd International Conference on Genetic Algorithms (ICGA87), (Ed. Greffenstette, John J.), Lawrence Erlbaum Associates Publishers.
48. Pohja, S., Kaski, K. (1992) Kanerva's Sparse Distributed Memory with Multiple Hamming Thresholds. RIACS-TR-92.6, NASA Ames Research Center, Moffett Field, CA, USA.
49. Prager, R. W., Fallside, F. (1989) The Modified Kanerva Model for Automatic Speech Recognition. Computer Speech and Language, v 3, p 61-81.
50. th international Conference for Simulation of Adaptive Behavior, From Animals to Animats V.
51. th international Conference on Simulation of Adaptive Behavior, From Animals to Animats IV, p 382.
52. Rao, Rajesh P. N., and Fuentes, Olac. (1998) Hierarchical Learning of Navigation Behaviors in an Autonomous Robot using a Predictive Sparse Distributed Memory. Machine Learning, Apr. 1998 v31 n 1/3, p 87.
53. Rogers, D. (1988a) Kanerva's Sparse Distributed Memory: An Associative Memory Algorithm Well-Suited to the Connection Machine. RIACS-TR-88.32, NASA Ames Research Center, Moffett Field, CA, USA.
54. Rogers, D. (1988b) Using data tagging to improve the performance of Kanerva's Sparse Distributed Memory. RIACS-TR-88.1, NASA Ames Research Center, Moffett Field, CA, USA.
55. Rogers, D. (1989a) Kanerva's Sparse Distributed Memory: An Associative Memory Algorithm Well-Suited to the Connection Machine. International Journal of High Speed Computing, p 349.
56. Rogers, D. (1989b) Statistical Prediction with Kanerva's Sparse Distributed Memory. RIACS-TR-89.02, NASA Ames Research Center, Moffett Field, CA, USA.
57. Ryan, S., and Andreae, J. (1995) Improving the Performance of Kanerva's Associative Memory. IEEE transactions on Neural Networks 6-1, p 125.
58. Saarinen, Jukka, Kotilainen, Petri, Kaski, Kimmo (1991) VLSI Architecture of Sparse Distributed Memory. Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS91), Jun. 1991, v 5, p 3074-7.
59. Saarinen, Jukka, Pohja, S., Kaski, K. (1991) Self Organization with Kanerva's Sparse Distributed Memory. Proceedings of the International Conference on Artificial Neural Networks (ICANN91), Helsinki, Finland, v 1, p 285-90.
60. Schaffer, J. David, Grefenstette, John J. (1985) Multi-Objective Learning via Genetic Algorithms. Proceedings of the 9th International Joint Conference on Artificial Intelligence (IJCAI85), p 593-5.
61. Scott, E., Fuller, C, and O'Brien, W. (1993) Sparse Distributed Associative Memory for the Identification of Aerospace Acoustic Sources. AIAA journal, Sep. 1993 v 31 n 9, p 1583.
62. rd International Conference on Genetic Algorithms (ICGA89), (Ed. Schaffer, J. D.), Morgan Kaufmann, San Mateo, CA.
63. th International Conference on Genetic Algorithms (ICGA91), (Eds. Belew, R-K., Booker, L. B.), p 264-70, San Diego, CA.
64. Surkan, Alvin (1992) WSDM: Weighted Sparse Distributed Memory Prototype Expressed in APL. APL quote quad, Jul. 1992 v 23 n 1, p 235.
65. Turk, Andreas, and Gorz, Gunther. (1994) Kanerva's Sparse Distributed Memory: An Object-Oriented Implementation on the Connection Machine. Report on a research project at the University of Erlangen-Nurnberg, Germany.
66. Turk, Andreas. (1995) CM-SDM Users Manual. IMMD 8, University of Erlangen-Nurnberg, Germany.
67. Willshaw, David. (1990) Coded Memories. A Commentary on 'Sparse Distributed Memory', by Pentti Kanerva. Cognitive Neuropsychology v 7 n 3, p 245.
68. Zhang, Zhaoua, Franklin, Stan, and Dasgupta, Dipankar (1998a) Metacognition in Software Agents using Classifier Systems, Proc AAAI 1998.
69. Zhang, Zhaoua, Franklin, Stan, Olde, Brent, Wan, Yun, and Graesser, Art (1998b) Natural Language Sensing for Autonomous Agents, Proc. IEEE Joint Symposia on Intelligence and Systems, Rockville, Maryland, p374-81.