Multiple Systems in Decision Making : A Neurocomputational Perspective  

Oleh:

Frank, Michael J. ; Cohen, Michael X. ; Sanfey, Alan G.

Jenis: Article from Journal - e-Journal
Dalam koleksi: Current Directions in Psychological Science vol. 18 no. 02 (Apr. 2009), page 73-77.
Topik: Computational Models; Decision Making; Neuroscience
Fulltext: 03. Multiple Systems in Decision Making - A Neurocomputational Perspective.pdf (161.44KB)

Isi artikel

Various psychological models posit the existence of two systems that contribute to decision making. The first system is bottom-up, automatic, intuitive, emotional, and implicit, while the second system is top-down, controlled, deliberative, and explicit. It has become increasingly evident that this dichotomy is both too simplistic and too vague. Here we consider insights gained from a different approach, one that considers the multiple computational demands of the decision-making system in the context of neural mechanisms specialized to accomplish some of that system’s more basic functions. The use of explicit computational models has led to (a) identification of core trade-offs imposed by a single-system solution to cognitive problems that are solved by having multiple neural systems, and (b) novel predictions that can be tested empirically and that serve to further refine the models.

Opini Anda

Klik untuk menuliskan opini Anda tentang koleksi ini!

Kembali