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Network-Oriented Modeling
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Network-Oriented Modeling (2016)Network-Oriented ModelingModeling Emerging Interpersonal Synchrony and its Related Adaptive Short-Term Affiliation and Long-Term Bonding: A Second-Order Multi-Adaptive Neural Agent Model (2023)Modeling Emerging Interperson…Does This Suit Me? Validation of Self-modeling Network Models by Parameter Tuning (2022)Does This Suit Me? Validation…Food Desires, Negative Emotions and Behaviour Change Techniques: A Computational Analysis (2021)Food Desires, Negative Emotio…A brain-inspired cognitive support model for stress reduction based on an adaptive network model (2020)A brain-inspired cognitive su…Metacognition and cognitive monitoring: A new area of cognitive-developmental inquiry. (1979)Alterations in Brain and Immune Function Produced by Mindfulness Meditation (2003)Mindfulness: A Proposed Operational Definition (2004)An argument for basic emotions (1992)The Emerging Field of Emotion Regulation: An Integrative Review (1998)The Behavior Change Technique Taxonomy (v1) of 93 Hierarchically Clustered Techniques: Building an International Consensus for the Reporting of Behavior Change Interventions (2013)Motivating Machines: The Potential of Modeling Motivation as MoA for Behavior Change Systems (2022)The Strength of Weak Ties: A Network Theory Revisited (1983)Measuring Tie Strength (1984)It's All in the Timing: Interpersonal Synchrony Increases Affiliation (2009)The Feeling of What Happens: Body and Emotion in the Making of Consciousness (2000)Birds of a Feather: Homophily in Social Networks (2001)Synchrony and Cooperation (2008)
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  • 2023Modeling Emerging Interpersonal Synchrony and its Related Adaptive Short-Term Affiliation and Long-Term Bonding: A Second-Order Multi-Adaptive Neural Agent Model137 cited
  • 2022Does This Suit Me? Validation of Self-modeling Network Models by Parameter Tuning42 cited
  • 2021Food Desires, Negative Emotions and Behaviour Change Techniques: A Computational Analysis5 cited
  • 2020A brain-inspired cognitive support model for stress reduction based on an adaptive network model3 cited

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