Evolving networks of human intelligence

Collective Intelligence from a Population of Evolving Neural Networks

In the paper an agent system of evolving neural networks, being an example of collective intelligence is presented. A concept of an agent-based predicting system is presented and several methods of managing such collective intelligent system are mentioned. Then the problem of evolutionary optimisation of a predicting neural network is introduced. Finally a neural predicting evolutionary multi-a...

Evolving Computational Intelligence Systems

A new paradigm of the evolving computational intelligence systems (ECIS) is introduced in a generic framework of the knowledge and data integration (KDI). This generalization of the recent advances in the development of evolving fuzzy and neuro-fuzzy models and the more analytical angle of consideration through the prism of knowledge evolution as opposed to the usually used datacentred approach...

Evolving Improved Opponent Intelligence

Artificially intelligent opponents in commercial computer games are almost exclusively controlled by manuallydesigned scripts. With increasing game complexity, the scripts tend to become quite complex too. As a consequence they often contain “holes” that can be exploited by the human player. The research question addressed in this paper reads: How can evolutionary learning techniques be applied...

Human intelligence and brain networks

Intelligence can be defined as a general mental ability for reasoning, problem solving, and learning. Because of its general nature, intelligence integrates cognitive functions such as perception, attention, memory, language, or planning. On the basis of this definition, intelligence can be reliably measured by standardized tests with obtained scores predicting several broad social outcomes suc...

Cooperative Co-Evolving Neural Networks for Robosoccer Simulation