Abstract
To address complexity of modeling the world’s processes, over the years in different scientific disciplines separation assumptions have been made to isolate parts of processes, and in some disciplines they have turned out quite useful. It can be questioned whether such assumptions are adequate to address complexity of integrated human mental and social processes and their interactions. In this paper it is discussed that a Network-Oriented Modeling perspective can be considered an alternative way to address complexity for modeling human and social processes.
| Original language | English |
|---|---|
| Title of host publication | Social Informatics - 8th International Conference, SocInfo 2016, Proceedings |
| Editors | E. Spiro, Y.-Y. Ahn |
| Publisher | Springer/Verlag |
| Pages | 157-175 |
| Number of pages | 19 |
| Volume | 10047 LNCS |
| ISBN (Print) | 9783319478739 |
| DOIs | |
| Publication status | Published - 2016 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 10047 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 10 Reduced Inequalities
Keywords
- Conceptual foundations
- Interaction
- Network-oriented modeling
- Separation
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