The aim of the study reported here was to develop a model that can simulate the changes in human behaviour in response to the COVID-19 outbreak. To achieve this, a second-order adaptive social network model was designed integrating mental network models for each person. The model is based on adaptation principles such as the first-order Hebbian learning adaptation principle and the second-order ‘adaptation accelerates with increasing exposure’ adaptation principle
Networks provide an intuitive, declarative way of modeling with a wide scope of applicability. In ma...
This paper addresses computational analysis by psychological knowledge in motor learning of how peop...
We discuss an interaction-based approach to study the coevolution between socio-technical networks, ...
The aim of the study reported here was to develop a model that can simulate the changes in human beh...
This book addresses the challenging topic of modeling adaptive networks, which often have inherently...
The study reported in this paper investigates an adaptive temporal-causal network-model for emotion ...
Thesis: S.M., Massachusetts Institute of Technology, Sloan School of Management, Operations Research...
Learning new knowledge or a new skill usually requires the development of an ade-quate internal ment...
This paper covers the contents of the Keynote Speech with the same title. The paper addresses the us...
Learning knowledge or skills usually is considered to be based on the formation of an adequate inter...
This paper explores how becoming a conspiracy thinker can be modeled by an adaptive mental network m...
Mental models play a crucial role in individual and organizational learning. The adaptive mental pro...
This chapter describes a second-order adaptive network model for mental processes making use of shar...
This paper first describes a temporal-causal network model for recognition of emotions shown by othe...
I construct a dynamic social-network model of the COVID-19 epidemic which embeds the SIR epidemiolog...
Networks provide an intuitive, declarative way of modeling with a wide scope of applicability. In ma...
This paper addresses computational analysis by psychological knowledge in motor learning of how peop...
We discuss an interaction-based approach to study the coevolution between socio-technical networks, ...
The aim of the study reported here was to develop a model that can simulate the changes in human beh...
This book addresses the challenging topic of modeling adaptive networks, which often have inherently...
The study reported in this paper investigates an adaptive temporal-causal network-model for emotion ...
Thesis: S.M., Massachusetts Institute of Technology, Sloan School of Management, Operations Research...
Learning new knowledge or a new skill usually requires the development of an ade-quate internal ment...
This paper covers the contents of the Keynote Speech with the same title. The paper addresses the us...
Learning knowledge or skills usually is considered to be based on the formation of an adequate inter...
This paper explores how becoming a conspiracy thinker can be modeled by an adaptive mental network m...
Mental models play a crucial role in individual and organizational learning. The adaptive mental pro...
This chapter describes a second-order adaptive network model for mental processes making use of shar...
This paper first describes a temporal-causal network model for recognition of emotions shown by othe...
I construct a dynamic social-network model of the COVID-19 epidemic which embeds the SIR epidemiolog...
Networks provide an intuitive, declarative way of modeling with a wide scope of applicability. In ma...
This paper addresses computational analysis by psychological knowledge in motor learning of how peop...
We discuss an interaction-based approach to study the coevolution between socio-technical networks, ...