Random contractions in proactive and intelligent behaviour
by Constantinos Artikis; John Sorros
International Journal of Computational Intelligence Studies (IJCISTUDIES), Vol. 6, No. 1, 2017

Abstract: Stochastic multiplicative models based on the product of two positive random variables are considered as analytical tools of particular theoretical and practical interest. Random contractions constitute a class of stochastic multiplicative models with very useful applications in a wide variety of disciplines. The paper concentrates on the formulation of a stochastic multiplicative model by making use of the concept of maximum of a random number of positive random variables. Sufficient conditions for representing that model as a random contraction are established. The paper also provides interpretation in stochastic discounting and application in systemics and informatics of such a model. Moreover, the paper clarifies the structural interconnections between the formulated stochastic multiplicative model and the fundamental concepts of proactivity, information, and intelligence.

Online publication date: Tue, 22-Aug-2017

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Intelligence Studies (IJCISTUDIES):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com