GOFAI stands for Good Old Fashioned Artificial Intelligence. It is commonly used to denote a branch of Artificial Intelligence which mainly deals with symbolic problems. Hondas intelligent humanoid robot Artificial intelligence (AI) is defined as intelligence exhibited by an artificial entity. ...
In Artificial Intelligence: The Very Idea, John Haugeland coined the term GOFAI describing, loosely, symbolic approaches to Artificial Intelligence. In current AI research, the term is often extended to GOFAIR (Good Old Fashioned Artificial Intelligence and Robotics) to reflect the importance of symbolic reasoning in traditional robotics. Often, GOFAI(R) is used to distinguish systems that do not employ connectionist or statisticalmachine learning algorithms, which have come to play a major role in AI, robotics and computer vision since the late-1990s. John Haugeland (born in 1948), is a philosopher and Professor of Philosophy at the University of Chicago. ... Hondas intelligent humanoid robot Artificial intelligence (AI) is defined as intelligence exhibited by an artificial entity. ... It has been suggested that this article or section be merged with robot. ... Connectionism is an approach in the fields of artificial intelligence, cognitive science, neuroscience, psychology and philosophy of mind. ... A graph of a bell curve in a normal distribution showing statistics used in educational assessment, comparing various grading methods. ... Machine learning is an area of artificial intelligence concerned with the development of techniques which allow computers to learn. More specifically, machine learning is a method for creating computer programs by the analysis of data sets. ... Computer vision is the study and application of methods which allow computers to understand image content or content of multidimensional data in general. ... The 1990s decade refers to the years from 1990 to 1999, inclusive. ...
GOFAI differs from its ancestor cybernetics, as Terry Winograd points out (289), in that the latter "did not have symbols, they had feedback loops." There are signs of its hegemony being challenged by the hot "new" way of doing Artificial Intelligence, connectionism.
It differs from GOFAI in that its models are not based on a prior analysis of the tasks to be performed, but on empirical exploration of how groups of interconnected units arranged in specific ways, and connected by pathways of variable strengths, might modify their output in response to any given input.
-- GOFAI is top down, meaning that to program it requires one to analyze the targeted tasks at increasingly detailed levels; neural nets are bottom up, in the sense that what is understood is the mechanism of their basic units, but the way these units work together may neither be planned not even understood.
GOFAI is also known as "symbolicism," for its attempt to describe intelligence in symbolic terms.
The hypothesis of GOFAI is simply that this is the correct recipe and that therefore this is how one should proceed to create intelligent agents.
The other criticism of GOFAI in relation to human intelligence is that there is no evidence in the physiology of the brain that the symbol is the atomic unit of cognition in the same way it is in a computer.
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