Emergent programming feasibility study using self-organizing instruction-agents

ABSTRACT

The general objective of this work is to develop a complete programming language in which each instruction is an autonomous agent trying to be in a cooperative state with the other agents of the system, as well as with the environment of the system. By endowing these instruction-agents with self-organizing mechanisms[2], we obtain a system able to continuously adapt to the task required by the programmer (i.e. to program and re-program itself depending on the needs). The work presented here aims at showing the feasibility of such a concept by specifying, and experimenting with, a core of instruction-agents needed for a subset of mathematical calculus.

REFERENCES

• 1: M.-P. Gleizes, V. Camps, and P. Glize. A theory of emergent computation based on cooperative self-oganization for adaptive artificial systems. In Fourth European Congress of Systems Science, Valencia, Spain, 1999.
• 2: F. Heylighen. Encyclopedia of Life Support Systems, chapter The Science of Self-organization and Adaptivity. EOLSS Publishers Co. Ltd, 2001.

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
        I.2.11 Distributed Artificial Intelligence

Additional Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.2 Automatic Programming

General Terms:
Experimentation

Keywords:
emergent programming, instruction-agents, self-organization