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Neural network modeling of business decision making | IEEE Conference Publication | IEEE Xplore

Neural network modeling of business decision making


Abstract:

A brain-based neural network previously used to model short-term decisions from description is extended to decisions from experience - specifically, decisions by a retail...Show More

Abstract:

A brain-based neural network previously used to model short-term decisions from description is extended to decisions from experience - specifically, decisions by a retailer on how much of a product to purchase per day based on cost, price, discounts for large purchases, and feedback about demand on previous days. Learning from feedback is represented in the network by an analog of dopamine neurons' computation of reward prediction error. This is superimposed on a network that includes amygdala and orbitofrontal cortex for emotional evaluation, anterior cingulate for behavioral planning, and striatum, thalamus, and motor cortex for behavioral execution.
Date of Conference: 14-19 May 2017
Date Added to IEEE Xplore: 03 July 2017
ISBN Information:
Electronic ISSN: 2161-4407
Conference Location: Anchorage, AK, USA

References

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