Historically, cognitive sciences in general and artificial intelligence in particular have had little to say about human culture. However, if the modest success of nascent field of cognitive science of culture in explaining aspects of culture is any indication, further contributions from cognitive scientists may be needed to develop a predictive computational science of culture. This paper outl...

It is often heard in Artificial Life (A-Life) circles that contemporary biology studies life-as-we-know-it (an Earth based, carbon chain phenomenon), whereas A-Life takes as its domain of study life-as-it-could-be. But lacking a clear definition of “life” the question arises: how would we recognize life-as-it-could-be, if we managed to create it? This short paper offers some speculations on thi...

Artificial neural networks now have a long history as major techniques in computational intelligence with a wide range of applications for learning from data. There are many methods developed and applied so far, from multiplayer perceptrons (MLP) to the recent ones being deep neural networks and deep learning machines based on spiking neural networks. The paper addresses a main question for res...

• Traditional AI focuses on higher-order cognitive activity like expert problem solving. • Subgroup stress embodied intelligence artificial life (also Bottom-Up AI, Animat approach, Behavior-based AI, Animal Robotics). • Aim of paper: review the approach and identify major unresolved issues. Delineating the field: The Subject Matter • The study of behavior. • Focus: what makes behavior intellig...

This paper proposes a novel approach for generation scheduling using sensitivitycharacteristic of a Security Analyzer Neural Network (SANN) for improving static securityof power system. In this paper, the potential overloading at the post contingency steadystateassociated with each line outage is proposed as a security index which is used forevaluation and enhancement of system static security....

The drilling is well known as one of the most common hole making processes in the industry.Due to close tolerance requirement for drilled holes in the most of work pieces, onlinecontrolling of the diameter of drilled holes seems to be necessary. In the current work, an onlinedimensional controlling system was developed for drilling process. Doing this, drilling processwas executed in different ...

In some statistical process control applications, the quality of the product is characterized by thecombination of both correlated variable and attributes quality characteristics. In this paper, we propose anovel control scheme based on the combination of two multi-layer perceptron neural networks forsimultaneous monitoring of mean vector as well as the covariance matrix in multivariate-attribu...