TY - CHAP
T1 - A modeling environment for reified temporal-causal network models
AU - Treur, Jan
PY - 2020
Y1 - 2020
N2 - The introduced multilevel reified (temporal-causal) network architecture is the basis of the implementation of a dedicated software environment developed by the author in Matlab. The environment includes a combination function library and a generic computational reified network engine. It uses role matrices specifying the characteristics for the designed network model as input. Based on this input, the computational reified network engine can be used to generate simulations for the network model, thereby using combination functions from the library. In this chapter, this software environment is described in more detail.
AB - The introduced multilevel reified (temporal-causal) network architecture is the basis of the implementation of a dedicated software environment developed by the author in Matlab. The environment includes a combination function library and a generic computational reified network engine. It uses role matrices specifying the characteristics for the designed network model as input. Based on this input, the computational reified network engine can be used to generate simulations for the network model, thereby using combination functions from the library. In this chapter, this software environment is described in more detail.
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U2 - 10.1007/978-3-030-31445-3_9
DO - 10.1007/978-3-030-31445-3_9
M3 - Chapter
AN - SCOPUS:85075167294
SN - 9783030314446
T3 - Studies in Systems, Decision and Control
SP - 211
EP - 224
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
CY - Cham, Switzerland
ER -