| 书目名称 | Network-Oriented Modeling |
| 副标题 | Addressing Complexit |
| 编辑 | Jan Treur |
| 视频video | |
| 概述 | Provides a generic, unified approach to Network-Oriented Modeling.Addresses the dynamics and adaptive aspects of causal relations by means of adaptive temporal-causal networks.Makes it easy to incorpo |
| 丛书名称 | Understanding Complex Systems |
| 图书封面 |  |
| 描述 | .This book presents a new approach that can be applied to complex, integrated individual and social human processes. It provides an alternative means of addressing complexity, better suited for its purpose than and effectively complementing traditional strategies involving isolation and separation assumptions..Network-oriented modeling allows high-level cognitive, affective and social models in the form of (cyclic) graphs to be constructed, which can be automatically transformed into executable simulation models. The modeling format used makes it easy to take into account theories and findings about complex cognitive and social processes, which often involve dynamics based on interrelating cycles. Accordingly, it makes it possible to address complex phenomena such as the integration of emotions within cognitive processes of all kinds, of internal simulations of the mental processes of others, and of social phenomena such as shared understandings and collective actions. A variety of sample models – including those for ownership of actions, fear and dreaming, the integration of emotions in joint decision-making based on empathic understanding, and evolving social networks – illustrat |
| 出版日期 | Book 2016 |
| 关键词 | Approximating joint-decision processes; Arftifical Intelligence modelling; Cognitive science modelling |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-45213-5 |
| isbn_softcover | 978-3-319-83240-1 |
| isbn_ebook | 978-3-319-45213-5Series ISSN 1860-0832 Series E-ISSN 1860-0840 |
| issn_series | 1860-0832 |
| copyright | Springer International Publishing Switzerland 2016 |
发表于 2025-3-21 18:39:12
