@article { , title = {A Computational Implementation of a Hebbian Learning Network and its Application to Configural Forms of Acquired Equivalence}, abstract = {We describe and report the results of computer simulations of the three-layer Hebbian network informally described by Honey, Close, and Lin (2010). Simulations were of four published experimental demonstrations of configural acquired equivalence. Experiments involved training rats on appetitive bi-conditional discriminations in which discrete cues, (w and x) signaled food delivery (+) or its absence (-) in four different contexts (A, B, C and D): Ax+ Bx- Cx+ Dx- Ay- By+ Cy- Dy+. Contexts A and C acquired equivalence, which was evident from subsequent revaluation, compound testing and whole-/part-reversal training. The fourth experiment added concurrent bi- conditional discriminations with the same contexts but a pair of additional discrete cues (y and z). The congruent form of the discrimination, in which A and C provided the same information about y and z, was solved relatively readily. Parametric variation allowed the network to successfully simulate the results of each of the four experiments.}, doi = {10.1037/xan0000203}, eissn = {2329-8456}, issn = {2329-8456}, issue = {3}, journal = {Journal of Experimental Psychology: Animal Learning and Cognition}, pages = {356-371}, publicationstatus = {Published}, publisher = {American Psychological Association}, url = {https://nottingham-repository.worktribe.com/output/1289047}, volume = {45}, keyword = {Bio/Medical/Health - Psychology, Psychiatry & Neuroscience, Experimental and Cognitive Psychology, Ecology, Evolution, Behavior and Systematics}, year = {2019}, author = {Robinson, Jasper and Heinke, Dietmar and George, David} }