Scepticism about Big Data’s Predictive Power about Human Behaviour: Making a Case for Theory and Simplicity

2021 ◽  
pp. 263-276
Author(s):  
Konstantinos V. Katsikopoulos
Keyword(s):  
Predictive Power ◽  
Human Behaviour

scholarly journals Causal Analysis of an Agent-Based Model of Human Behaviour

Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-18 ◽  
Author(s):  
Marcel Kvassay ◽  
Peter Krammer ◽  
Ladislav Hluchý ◽  
Bernhard Schneider
Keyword(s):  
Time Evolution ◽  
Predictive Power ◽  
Causal Analysis ◽  
Human Behaviour ◽  
New Method ◽  
Relative Importance ◽  
Agent Based Model ◽  
Contributing Factors ◽  
Agent Based ◽  
Emergent Behaviour

This article investigates causal relationships leading to emergence in an agent-based model of human behaviour. A new method based on nonlinear structural causality is formulated and practically demonstrated. The method is based on the concept of acausal partitionof a model variable which quantifies the contribution of various factors to its numerical value. Causal partitions make it possible to judge the relative importance of contributing factors over crucial early periods in which the emergent behaviour of a system begins to form. They can also serve as the predictors of emergence. The time-evolution of their predictive power and its distribution among their components hint at the deeper causes of emergence and the possibilities to control it.

Communicating the predictive power of selection and admissions measures

2008 ◽  
Author(s):  
Sara Cooper ◽  
Nathan Kuncel ◽  
Kara Siegert
Keyword(s):  
Predictive Power

Does the embedded atom model have predictive power?

2020 ◽  
Vol 190 (12) ◽  
pp. 1233-1260
Author(s):  
David K. Belashchenko
Keyword(s):  
Predictive Power ◽  
Atom Model ◽  
Embedded Atom
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