IEEE Computational Intelligence Society

IEEE 1849: The XES Standard: The Second IEEE Standard Sponsored by IEEE Computational Intelligence Society [Society Briefs]

August 2010 | Ieee Computational Intelligence Magazine 11

The manual design of control systems for robotic devices can be challenging. Methods for the automatic synthesis of control systems, such as the evolution of artificial neural networks, are thus widely used in the robotics community. However, in many robotic tasks where multiple interdependent control problems have to be solved simultaneously, the performance of conventional neuroevolution tech...

August 2010 | Ieee Computational Intelligence Magazine 33

In this paper, we show how a simulated humanoid robot controlled by an artificial neural network can acquire the ability to manipulate spherical objects located over a table by reaching, grasping, and lifting them. The robot controller is developed through an adaptive process in which the free parameters encode the control rules that regulate the fine-grained interaction between the agent and t...

February 2008 | Ieee Computational Intelligence Magazine 31

rtificial neural networks (ANNs) and evolutionary algorithms (EAs) are both abstractions of natural processes. Since early 1990s, they have been combined into a general and unified computational model of adaptive systems, i.e., Evolutionary ANNs (EANNs) [52], [54], to utilize the learning power of ANNs and adaptive capabilities of EAs. EANNs refer to a special class of ANNs in which evolution i...

Computational Intelligence Meets Game of Go @ IEEE WCCI 2012 [Society Briefs]

Since 2008, National University of Tainan (NUTN) in Taiwan and other academic organizations have hosted or organized several human vs. challenged the humans in the competition. In addition to observing how many advances have been made in artificial intelligence, the competition also observed physiological measurements for testing cognitive science on the game of Go. The topic is " the Most Stra...