Knowledge (XXG)

EPAM

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186: 73:. The term nonsense is used because the learned patterns are not connected with a meaning but they are standing for their own. The software is working internally by creating a decision tree. An improved version is available under the name “EPAM-VI”. 169:
Richman, H. B., Gobet, F., Staszewski, J. J., & Simon, H. A. (1996). Perceptual and memory processes in the acquisition of expert performance: The EPAM model. In K. A. Ericsson (Ed.), The road to excellence (pp. 167–187). Mahwah, NJ:
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Gobet, F., Richman, H. B., Staszewski, J. J., & Simon, H. A. (1997). Goals, representations, and strategies in a concept attainment task: The EPAM model. The Psychology of Learning and Motivation, 37,
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Richman, H. B., Staszewski, J. J., & Simon, H. A. (1995). Simulation of expert memory with EPAM IV. Psychological Review, 102, 305–330.
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Feigenbaum, E. A., & Simon, H. A. (1962). A theory of the serial position effect. British Journal of Psychology, 53, 307–320.
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Feigenbaum, E. A., & Simon, H. A. (1984). EPAM-like models of recognition and learning. Cognitive Science, 8, 305–336.
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This article is about psychological theory. For software engineering company, see
47: 185: 27: 46:, it has been later adapted to account for data on the psychology of 31: 26:(Elementary Perceiver and Memorizer) is a psychological theory of 69:
The project was started in the late 1950s with the aim to learn
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implemented as a computer program. Originally designed by
201: 54:. It was influential in formalizing the concept of a 107:Paul R. Cohen; Edward A. Feigenbaum (5 June 2014). 110:The Handbook of Artificial Intelligence: Volume 3 58:. In EPAM, learning consists in the growth of a 221: 140:. Cambridge University Press. pp. 415–. 8: 228: 214: 99: 137:The Quest for Artificial Intelligence 7: 182: 180: 134:Nils J. Nilsson (30 October 2009). 200:. You can help Knowledge (XXG) by 113:. Elsevier Science. pp. 28–. 14: 184: 1: 268: 179: 15: 42:to simulate phenomena in 77:Related cognitive models 252:Computer science stubs 247:Cognitive architecture 62:. EPAM was written in 60:discrimination network 71:nonsense syllables 209: 208: 147:978-1-139-64282-8 120:978-1-4832-1439-9 52:concept formation 40:Edward Feigenbaum 259: 230: 223: 216: 194:computer science 188: 181: 152: 151: 131: 125: 124: 104: 36:Herbert A. Simon 267: 266: 262: 261: 260: 258: 257: 256: 237: 236: 235: 234: 177: 156: 155: 148: 133: 132: 128: 121: 106: 105: 101: 96: 79: 44:verbal learning 21: 12: 11: 5: 265: 263: 255: 254: 249: 239: 238: 233: 232: 225: 218: 210: 207: 206: 189: 175: 174: 171: 167: 163: 160: 154: 153: 146: 126: 119: 98: 97: 95: 92: 91: 90: 85: 78: 75: 13: 10: 9: 6: 4: 3: 2: 264: 253: 250: 248: 245: 244: 242: 231: 226: 224: 219: 217: 212: 211: 205: 203: 199: 196:article is a 195: 190: 187: 183: 178: 172: 168: 164: 161: 158: 157: 149: 143: 139: 138: 130: 127: 122: 116: 112: 111: 103: 100: 93: 89: 86: 84: 81: 80: 76: 74: 72: 67: 65: 61: 57: 53: 49: 45: 41: 37: 33: 29: 25: 19: 202:expanding it 191: 176: 136: 129: 109: 102: 68: 23: 22: 18:EPAM Systems 241:Categories 94:References 48:expertise 170:Erlbaum. 166:265–290. 28:learning 144:  117:  83:CHREST 32:memory 192:This 64:IPL/V 56:chunk 198:stub 142:ISBN 115:ISBN 88:Soar 50:and 38:and 30:and 24:EPAM 243:: 66:. 229:e 222:t 215:v 204:. 150:. 123:. 20:.

Index

EPAM Systems
learning
memory
Herbert A. Simon
Edward Feigenbaum
verbal learning
expertise
concept formation
chunk
discrimination network
IPL/V
nonsense syllables
CHREST
Soar
The Handbook of Artificial Intelligence: Volume 3
ISBN
978-1-4832-1439-9
The Quest for Artificial Intelligence
ISBN
978-1-139-64282-8
Stub icon
computer science
stub
expanding it
v
t
e
Categories
Cognitive architecture
Computer science stubs

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