Values and regrets
Regret, from a decision-making point of view, is a countefactual post-hoc valuation of a decision. Regret and rejoicing are two varieties of remembered utility. Without a doubt, neuroeconomics can be informative about the neural mechanisms of regrets. As I once argued, however, we need a neuroeconomic account of valuation with clear distinction between differnt processes, mechanisms and functions, and between the different contributions of neural structures. A nice example:
In this paper:
But, in another paper, regret, or its computational cousin "fictive learning signals", is now an outcome of midbrain dopaminergic systems:
1-a "same-level" explanation: dopaminergic systems and cortical networks contribute together to the feeling, emotions, and processing of regret/rejoicing. They are two faces of the same coin.
2-a "different-level" explanation: dopaminergic systems and cortical networks are two layers in a hierarchical multi-level architecture (that may have other level, e.g. molecular, etc.).
suggestions, ideas?
In this paper:
- Chandrasekhar, P. V. S., Capra, C. M., Moore, S., Noussair, C., & Berns, G. S. (2007). Neurobiological regret and rejoice functions for aversive outcomes. Neuroimage.
But, in another paper, regret, or its computational cousin "fictive learning signals", is now an outcome of midbrain dopaminergic systems:
- Lohrenz, T., McCabe, K., Camerer, C. F., & Montague, P. R. (2007). Neural signature of fictive learning signals in a sequential investment task. Proceedings of the National Academy of Sciences, 104(22), 9493-9498.
1-a "same-level" explanation: dopaminergic systems and cortical networks contribute together to the feeling, emotions, and processing of regret/rejoicing. They are two faces of the same coin.
2-a "different-level" explanation: dopaminergic systems and cortical networks are two layers in a hierarchical multi-level architecture (that may have other level, e.g. molecular, etc.).
suggestions, ideas?
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