AI as Complex Information Processing

Author: Nakashima H.¹

Source: Minds and Machines, Volume 9, Number 1, February 1998 , pp. 57-80(24)

Publisher: Springer

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Abstract:

In this article, I present a software architecture for intelligent agents. The essence of AI is complex information processing. It is impossible, in principle, to process complex information as a whole. We need some partial processing strategy that is still somehow connected to the whole. We also need flexible processing that can adapt to changes in the environment. One of the candidates for both of these is situated reasoning, which makes use of the fact that an agent is in a situation, so it only processes some of the information – the part that is relevant to that situation. The combination of situated reasoning and context reflection leads to the idea of organic programming, which introduces a new building block of programs called a cell. Cells contain situated programs and the combination of cells is controlled by those programs.

Keywords: situation theory; situated reasoning; organic programming; dynamic subsumption architecture

Language: English

Document Type: Regular paper

Affiliations: 1: ETL (Electrotechnical Laboratories) 1-1-4 Umezono, Tsukuba, 305- 0045 Japan

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