The frightening complexity of avoidance: a neural network approach

N. SCHMAJUK, D. URRY, B.S. ZANUTTO

Models of Action: Mechanisms for Adaptive Behavior

Wynne and J. Staddon. Lawrence Erlbaum Associates,

Lugar: New Jersey; Año: 1998; p. 201 - 238

N. Schmajuk, D. Urry, B.S. Zanutto. The frightening complexity of avoidance: a neural network approach. In: Models of Action: Mechanisms for Adaptive Behavior. Ed: C. Wynne and J. Staddon. Lawrence Erlbaum Associates, Inc Publishers. pp 201-238. 1998In spite of the vast behavioral data collecited on avoidance over several decades, the question of how animals learn to avoid dangerous stimuli remains largery unanswered. Although several theories have been prpposed to explain avoidance notable Mowrer´s (1947) two factor theory Herrnstein (1969)none factor theory and Seligman and Johnston´s (1973) cognitive theory none of them was able to provide a completely successful account of the experimental data accumulated over time.