The logic of intelligence (2007)
| Venue: | In Ben Goertzel and Cassio Pennachin, editors, Artificial General Intelligence |
| Citations: | 4 - 3 self |
BibTeX
@INPROCEEDINGS{Wang07thelogic,
author = {Pei Wang},
title = {The logic of intelligence},
booktitle = {In Ben Goertzel and Cassio Pennachin, editors, Artificial General Intelligence},
year = {2007},
pages = {31--62},
publisher = {Springer}
}
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Abstract
Is there an “essence of intelligence ” that distinguishes intelligent systems from non-intelligent systems? If there is, then what is it? This chapter suggests an answer to these questions by introducing the ideas behind the NARS (Non-Axiomatic Reasoning System) project. NARS is based on the opinion that the essence of intelligence is the ability to adapt with insufficient knowledge and resources. According to this belief, the author has designed a novel formal logic, and implemented it in a computer system. Such a“logic of intelligence ” provides a unified explanation for many cognitive functions of the human mind, and is also concrete enough to guide the actual building of a general purpose “thinking machine”. 1 Intelligence and Logic 1.1 To define intelligence The debate on the essence of intelligence has been going on for decades, and there is still little sign of consensus (this book itself is a piece of evidence). In the “mainstream AI”, the followings are some representative opinions: “AI is concerned with methods of achieving goals in situations in which the information available has a certain complex character. The methods that have to be used are related to the problem presented by the situation and are similar whether the problem solver is human, a Martian, or a computer program. ” [McCarthy, 1988] Intelligence usually means “the ability to solve hard problems”.
