Patterns-based Information Systems Organization
| Autor: | Sergej Lugović, Ivan Dunđer, Marko Horvat |
|---|---|
| Přispěvatelé: | Anderson, Karen, Duranti, Luciana, Jaworski, Rafal, Mateljan, Vladimir, Seljan, Sanja, Stančić, Hrvoje |
| Rok vydání: | 2015 |
| Předmět: |
Variables
Point (typography) Computer science business.industry Knowledge organization media_common.quotation_subject Behavioral pattern Information theory Data science Information behavior Information system information patterns self-organizing information behavior information systems Artificial intelligence Adaptation (computer science) business media_common |
| Zdroj: | The Future of Information Sciences. |
| ISSN: | 1847-8220 |
| DOI: | 10.17234/infuture.2015.20 |
| Popis: | The socio-technical systems research paradigm is about the complexity of real situations. It confronts us with the quest for variables that could provide us with insight into the behavior of such systems. Their behavior emerges according to internal system properties and adaptation of the system to external conditions. In our view, behavioral patterns are one of those particular variables since machines can recognize them and their dynamics. Based on the synthesis of three different theoretical frameworks, this paper proposes a concept of patterns- based information system organization. The authors built the concept on the Deacon discussion of theory of information, Hofkirchner’s unified information theory and related system behavior, and Kelso’s explanation of pattern creation processes in self-organizing systems. All three researchers have included patterns in their theoretical proposal. According to this analysis of the existing theories and their synthesis, we conclude that in order to design machines that can automatically support new behavior, we have to analyze humans and machines as a complex whole with dynamic relationships and emerging patterns as a dependent variable of behavior. By developing this theoretical concept, we establish a departure point for future research and search for different variables that correlate with pattern formation. |
| Databáze: | OpenAIRE |
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