Accession Number:

AD0607358

Title:

DESIGN PRINCIPLES FOR AN INTELLIGENT MACHINE,

Descriptive Note:

Corporate Author:

RAND CORP SANTA MONICA CALIF

Personal Author(s):

• Maron,M. E.

Report Date:

1962-03-01

Pagination or Media Count:

8.0

Abstract:

This paper discussed the role of prediction as the key process underlying the function of an intelligent machine. A model of a neuron was presented which exhibits properties of memory and learning. The formalism of the calculus of probability allows one to interpret the behavior of a neuron in such a way as to justify how a network of such elements can be organized so that it can learn to predict. Author

Descriptors:

• *ARTIFICIAL INTELLIGENCE
• *NERVE CELLS
• MODELS
• BIONICS
• AUTOMATA
• MATHEMATICAL LOGIC
• PROBABILITY
• LEARNING
• MEMORY(PSYCHOLOGY)
• DIGITAL COMPUTERS

Subject Categories:

Distribution Statement:

APPROVED FOR PUBLIC RELEASE