neural networks . adaptive systems . machine learning

An artificial being is a term used to describe a machine intelligence that evolves out of existing infrastructure, as opposed to being deliberately designed and built that way.

The term is used typically to contrast approaches in discussion with artificial intelligence (AI), where machine intelligence is the deliberate aim of the work. To date AI has been unable to create a "true" machine intelligence, but much of this appears to be due to a misunderstanding, or underevaluation, of the term "intelligence". It appears that human intelligence evolved once a critical event at an uncertain level of complexity in the brain was reached, a so-called emergent behaviour. Users of the term artificial being suggest that emergent algorithms will evolve machine intelligence in the same way, and is unlikely to be the result of deliberate design. (From Wikipedia)

AI Topics by AAAI

Topics include: AI in the news . AI Overview . Agents Applications . Interfaces . Machine Learning . Reference Resources . Science Fiction . Turing Test . Vision

Genetic Algorithms & Artificial Life Resources

Eliezer S. Yudkowsky. Levels of Organization in General Intelligence

Ben Goertzel. Creating Internet Intelligence: Wild Computing,
Distributed Digital Consciousness, and the Emerging Global Brain.

Russell Reed & Robert Marks II. Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks.

Simon Haykin. Neural Networks: A Comprehensive Foundation.

Jose Principe, Neil Euliano, Curt Lefebvre. Neural and Adaptive Systems: Fundamentals through Simulations.

Luis O. Arata. Modeling Interactive Intelligences.