How Far Do Self-Modeling Networks Reach
| Autor: | Treur, Jan, Van Ments, Laila |
|---|---|
| Přispěvatelé: | Treur, Jan, Van Ments, Laila, Computer Science, Network Institute, Artificial intelligence, Social AI |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Studies in Systems, Decision and Control ISBN: 9783030858209 Treur, J 2022, How Far Do Self-Modeling Networks Reach : Relating Them to Adaptive Dynamical Systems . in J Treur & L Van Ments (eds), Mental Models and their Dynamics, Adaptation and Control : A Self-Modeling Network Modeling Approach . Studies in Systems, Decision and Control, vol. 394, Springer Nature Switzerland AG, pp. 565-581 . https://doi.org/10.1007/978-3-030-85821-6_20 Mental Models and their Dynamics, Adaptation and Control: A Self-Modeling Network Modeling Approach, 565-581 STARTPAGE=565;ENDPAGE=581;TITLE=Mental Models and their Dynamics, Adaptation and Control |
| ISSN: | 2198-4182 |
| DOI: | 10.1007/978-3-030-85821-6_20 |
| Popis: | In this chapter, it is addressed by mathematical analysis how network-oriented modeling relates to the dynamical systems perspective on mental processes. It has been mathematically proven that any dynamical system can be modeled as a temporal-causal network model and that any adaptive dynamical system (of any order) can be modeled by a self-modeling network (of the same order). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|