TY - CHAP
T1 - Modeling higher-order adaptive evolutionary processes by reified adaptive network models
AU - Treur, Jan
PY - 2020
Y1 - 2020
N2 - In this chapter, a fourth-order reified network model is introduced to describe different orders of adaptivity found in a case study on evolutionary processes. The network model describes how the causal pathways for newly developed features in this case study affect the causal pathways of already existing features, which makes the pathways of these new features one order of adaptivity higher than the existing ones, as they adapt a previous adaptation. The network reification approach is shown to be an adequate means to model this transparently.
AB - In this chapter, a fourth-order reified network model is introduced to describe different orders of adaptivity found in a case study on evolutionary processes. The network model describes how the causal pathways for newly developed features in this case study affect the causal pathways of already existing features, which makes the pathways of these new features one order of adaptivity higher than the existing ones, as they adapt a previous adaptation. The network reification approach is shown to be an adequate means to model this transparently.
UR - http://www.scopus.com/inward/record.url?scp=85075178529&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85075178529&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-31445-3_7
DO - 10.1007/978-3-030-31445-3_7
M3 - Chapter
AN - SCOPUS:85075178529
SN - 9783030314446
SN - 9783030314477
T3 - Studies in Systems, Decision and Control
SP - 167
EP - 185
BT - Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models
A2 - Treur, Jan
PB - Springer International Publishing AG
ER -