Cognitive Bias for Universal Algorithmic Intelligence

09/19/2012
by   Alexey Potapov, et al.
0

Existing theoretical universal algorithmic intelligence models are not practically realizable. More pragmatic approach to artificial general intelligence is based on cognitive architectures, which are, however, non-universal in sense that they can construct and use models of the environment only from Turing-incomplete model spaces. We believe that the way to the real AGI consists in bridging the gap between these two approaches. This is possible if one considers cognitive functions as a "cognitive bias" (priors and search heuristics) that should be incorporated into the models of universal algorithmic intelligence without violating their universality. Earlier reported results suiting this approach and its overall feasibility are discussed on the example of perception, planning, knowledge representation, attention, theory of mind, language, and some others.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 2

page 3

page 4

04/07/2014

Applications of Algorithmic Probability to the Philosophy of Mind

This paper presents formulae that can solve various seemingly hopeless p...
09/27/2011

An Approximation of the Universal Intelligence Measure

The Universal Intelligence Measure is a recently proposed formal definit...
05/24/2022

Edge Semantic Cognitive Intelligence for 6G Networks: Models, Framework, and Applications

Edge intelligence is anticipated to underlay the pathway to connected in...
05/09/2013

On the universality of cognitive tests

The analysis of the adaptive behaviour of many different kinds of system...
05/20/2022

Measuring algorithmic interpretability: A human-learning-based framework and the corresponding cognitive complexity score

Algorithmic interpretability is necessary to build trust, ensure fairnes...
04/10/2018

The AGINAO Self-Programming Engine

The AGINAO is a project to create a human-level artificial general intel...
10/16/2015

Bad Universal Priors and Notions of Optimality

A big open question of algorithmic information theory is the choice of t...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.