A Nonconvergent Iterative Process

Nonconvergent Dynamics and Cognitive Systems

The conditions and mechanisms for producing general intelligent action in agents are the focus and proper study of cognitive science. Many such positions have been proposed, including symbolic and connectionist viewpoints. New points of view are beginning to emerge, including embodied and dynamical cognition, but have not yet been fully solidified into a single comprehensive position. In this a...

An Iterative Tâtonnement Process

A discrete time tâtonnement process is presented for reaching an equilibrium of an exchange economy. The process is based on updating the prices in proportion to excess demands of the commodities such that the new prices are positive and their changes are bounded. Global convergence conditions for the process are given and convergence is shown when the excess demand function has the gross subst...

Extended Regularization Methods for Nonconvergent Model Selection

Many techniques for model selection in the field of neural networks correspond to well established statistical methods. The method of 'stopped training', on the other hand, in which an oversized network is trained until the error on a further validation set of examples deteriorates, then training is stopped, is a true innovation, since model selection doesn't require convergence of the training...

A Value-Oriented Iterative Service Modeling Process

In order to help service designers build high-quality service models quickly and accurately, this paper presents a value-oriented iterative service modeling process. This modeling process combines service business perspective and service value perspective together, and it is executed interactively between service model space and service value space, simultaneously, some value-awareness activiti...

A composite explicit iterative process with a viscosity method for Lipschitzian semigroup in a smooth Banach space