| 000 -LEADER |
|---|
| fixed length control field |
01939nam a2200277Ia 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
DE-boiza |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20200121100003.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
191008 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
0-262-57227-3 |
| 040 ## - CATALOGING SOURCE |
|---|
| Transcribing agency |
IZA |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Glimcher, Paul W. |
| 9 (RLIN) |
3562 |
| 245 #0 - TITLE STATEMENT |
|---|
| Title |
Decisions, Uncertainty, and the Brain: The Science of Neuroeconomics |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Date of publication, distribution, etc. |
2004 |
| Name of publisher, distributor, etc. |
MIT Press, |
| Place of publication, distribution, etc. |
Cambridge, Mass, |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
375 pages |
| 340 ## - PHYSICAL MEDIUM |
|---|
| Location within medium |
D8 17 |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
In this provocative book, Paul Glimcher argues that economic theory may provide an alternative to the classical Cartesian model of the brain and behavior. Glimcher argues that Cartesian dualism operates from the false premise that the reflex is able to describe behavior in the real world that animals inhabit. A mathematically rich cognitive theory, he claims, could solve the most difficult problems that any environment could present, eliminating the need for dualism by eliminating the need for a reflex theory. Such a mathematically rigorous description of the neural processes that connect sensation and action, he explains, will have its roots in microeconomic theory. Economic theory allows physiologists to define both the optimal course of action that an animal might select and a mathematical route by which that optimal solution can be derived. Glimcher outlines what an economics-based cognitive model might look like and how one would begin to test it empirically. Along the way, he presents a fascinating history of neuroscience. He also discusses related questions about determinism, free will, and the stochastic nature of complex behavior. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
decision making |
| 9 (RLIN) |
962 |
|
|---|
| Topical term or geographic name entry element |
neuroeconomics |
| 9 (RLIN) |
3563 |
|
|---|
| Topical term or geographic name entry element |
uncertainty |
| 9 (RLIN) |
3564 |
|
|---|
| Topical term or geographic name entry element |
cognitive theory |
| 9 (RLIN) |
6637 |
|
|---|
| Topical term or geographic name entry element |
cognitive model |
| 9 (RLIN) |
6638 |
|
|---|
| Topical term or geographic name entry element |
brain |
| 9 (RLIN) |
6639 |
|
|---|
| Topical term or geographic name entry element |
behavior |
| 9 (RLIN) |
1812 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://mitpress.mit.edu/books/decisions-uncertainty-and-brain">https://mitpress.mit.edu/books/decisions-uncertainty-and-brain</a> |
| Link text |
Publisher's website |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
Monography |
| Source of classification or shelving scheme |
|
