Computationally Constrained Beliefs

Journal of Consciousness Studies 20 (5-6):124-150 (2013)
  Copy   BIBTEX

Abstract

People and intelligent computers, if there ever are any, will both have to believe certain things in order to be intelligent agents at all, or to be a particular sort of intelligent agent. I distinguish implicit beliefs that are inherent in the architecture of a natural or artificial agent, in the way it is 'wired', from explicit beliefs that are encoded in a way that makes them easier to learn and to erase if proven mistaken. I introduce the term IFI, which stands for irresistible framework intuition, for an implicit belief that can come into conflict with an explicit one. IFIs are a key element of any theory of consciousness that explains qualia and other aspects of phenomenology as second-order beliefs about perception. Before I can survey the IFI landscape, I review evidence that the brains of humans, and presumably of other intelligent agents, consist of many specialized modules that are capable of sharing a unified workspace on urgent occasions, and jointly model themselves as a single agent. I also review previous work relevant to my subject. Then I explore several IFIs, starting with, 'My future actions are free from the control of physical laws'. Most of them are universal, in the sense that they will be shared by any intelligent agent; the case must be argued for each IFI. When made explicit, IFIs may look dubious or counterproductive, but they really are irresistible, so we find ourselves in the odd position of oscillating between justified beliefs and conflicting but irresistible beliefs. We cannot hope that some process of argumentation will resolve the conflict

Other Versions

No versions found

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 101,505

External links

  • This entry has no external links. Add one.
Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Analytics

Added to PP
2015-01-22

Downloads
0

6 months
0

Historical graph of downloads

Sorry, there are not enough data points to plot this chart.
How can I increase my downloads?

Author's Profile

Drew McDermott
Yale University

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references