Abstract
Today, majority of collected data and information are usually passively stored in data bases and in various kinds of memory cells and storage media that let them do nothing more than waiting for being used by some algorithms that will read, write or modify them. Nowadays, the majority of computational techniques do not allow pieces of information to associate with each other automatically. This paper introduces a novelty theory that lets information be free and active. There is allowed that some pieces of information can automatically and autonomously associate with the other pieces of it after some introduced associative rules characteristic also for biological information systems. As a result of this, each new information has an automatic impact on information processing in a brainlike artificial neural structure that can enable machines to associate various pieces of information automatically and autonomously. It can also enable machines actively perform some cognitive and thinking processes and constitute real artificial intelligence in the future.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Back, R.J.R.: Refinement Calculus, Parallel and Reactive Programs. In: de Bakker, J.W., de Roever, W.-P., Rozenberg, G. (eds.) REX 1989. LNCS, vol. 430, pp. 42–66. Springer, Heidelberg (1990)
Dudek-Dyduch, E., Tadeusiewicz, R., Horzyk, A.: Neural Network Adaptation Process Effectiveness Dependent of Constant Training Data Availability. Neurocomputing 72, 3138–3149 (2009)
Horzyk, A., Tadeusiewicz, R.: A Psycholinguistic Model of Man-Machine Interactions Based on Needs of Human Personality. Man-Machine Interactions. In: Cyran, K.A. (ed.) Proc. of ICMMI 2009. AISC, vol. 59, pp. 55–67. Springer, Heidelberg (2009)
Horzyk, A.: Awaiting for Artificial Intelligence. Software Developer’s Journal 4, 10–17 (2011) ISSN: 1734-3917
Horzyk, A.: Self-Optimizing Neural Network 3. In: Franco, L., Elizondo, D.A., Jerez, J.M. (eds.) Constructive Neural Networks. SCI, vol. 258, pp. 83–101. Springer, Heidelberg (2009)
Tadeusiewicz, R., Rowiñski, T.: Computer science and psychology in information society. AGH (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Horzyk, A. (2012). Information Freedom and Associative Artificial Intelligence. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2012. Lecture Notes in Computer Science(), vol 7267. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29347-4_10
Download citation
DOI: https://doi.org/10.1007/978-3-642-29347-4_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29346-7
Online ISBN: 978-3-642-29347-4
eBook Packages: Computer ScienceComputer Science (R0)