EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link: https://ebookbell.com/faq

We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.

For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Realistic Decision Theory Rules For Nonideal Agents In Nonideal Circumstances Paul Weirich

SKU: BELL-2089760

$ 31.00 ~~$ 45.00~~ (-31%)

0 reviews

Realistic Decision Theory Rules For Nonideal Agents In Nonideal Circumstances Paul Weirich instant download after payment.

Publisher: Oxford University Press, USA

File Extension: PDF

File size: 2.81 MB

Pages: 278

Author: Paul Weirich

ISBN: 019517125X

Language: English

Year: 2004

Product desciption

Realistic Decision Theory Rules For Nonideal Agents In Nonideal Circumstances Paul Weirich by Paul Weirich 019517125X instant download after payment.

Within traditional decision theory, common decision principles -- e.g. the principle to maximize utility -- generally invoke idealization; they govern ideal agents in ideal circumstances. In Realistic Decision Theory, Paul Weirch adds practicality to decision theory by formulating principles applying to nonideal agents in nonideal circumstances, such as real people coping with complex decisions. Bridging the gap between normative demands and psychological resources, Realistic Decision Theory is essential reading for theorists seeking precise normative decision principles that acknowledge the limits and difficulties of human decision-making.