Jan Treur

Vrije Universiteit Amsterdam | VU · Department of Computer Science

Using self-modeling networks to model dynamics, adaptation, and control of internal mental models. For video presentations for many of the chapters, see https://www.youtube.com/playlist?list=PLtJH8O7BvdycENlCsAEraVybqz1I6T9sd.

For a video presentation, see https://www.youtube.com/watch?v=PRUzrkf1mW4. When people interact, their behaviour tends to become synchronised, a mutual coordination process that fosters short-term adaptations, like increased affiliation, and long-term adaptations, like increased bonding. This paper addresses for the first time how such short-term a...

Interpersonal synchrony is associated with better interpersonal affiliation. No matter how well-affiliated people are, interruptions or transitions in synchrony rebound to occur. One might intuitively expect that transitions in synchrony negatively affect affiliation or liking. Empirical evidence, however, suggests that time periods with interrupti...

Although there is much literature on organisational learning, mathematical formalisation and computational simulation of it is considered a very challenging topic with almost no literature addressing it in a principled manner. This book provides an overview of recent work on mathematical formalisation and computational simulation of organisational...

This paper introduces a novel controlled adaptive mental causal network model addressing how dreams overnight can influence creativity in waking life. The network model depicts in a causal, dynamic, and generic manner which adaptive mental processes underlie the connection between dreams and creativity and is shown to be validated with the existing...

This paper addresses formalisation and computational modelling of context-sensitive control over multilevel organisational learning and in particular the role of the leadership style in influencing feed forward learning flows. It addresses a realistic case study with focus on the role of managers for control of multilevel organisational learning. T...

Joint Keynote Speech. Organisational learning emerges as a cyclic interplay of various mechanisms at different levels. To analyse and simulate organisational learning computationally, the self-modeling network modelling approach from AI provides a powerful means to address the complexity of the interaction of different mechanisms and the control ov...

Joint Keynote Speech. Processes of multilevel organisational learning emerge as a cyclic interplay of various mechanisms at different levels. To analyse and simulate them computationally, the self-modeling network modelling approach from AI provides a powerful means to address the complexity of the interaction of different adaptation mechanisms and...

For a video presentation, see https://youtu.be/uWAg2WUi2r0. Transformative Organizational Change becomes more and more significant both practically and academically, especially in the context of organizational culture and learning. However computational modeling and a formalization of organizational change and learning processes are still largely...

A video presentation can be found at hhttps://www.youtube.com/watch?v=Cto3OzVQbsY. Learning is an integral part of organizations. Therefore, as introduced by Kim [1], organizational learning has been coined as a key term, as it facilitates further development, both within individuals, amongst individuals, and as a result, within teams and organizat...

This paper investigates computationally the following research hypotheses: (1) Higher flexibility and discretion in organizational culture results in better mistake management and thus better organizational learning, (2) Effective organizational learning requires a transformational leader to have both high social and formal status and consistency,...

For a video on YouTube, see https://www.youtube.com/watch?v=mFMmHQgo8Rs. This research addresses the influence of leadership and communication on learning within an organisation by direct mutual interactions in dyads. This is done in combination with multilevel organizational learning as an alternative route, which includes feed forward and feedbac...

This paper describes how the recently developed self-modeling network modeling approach for multilevel organisational learning has been tested on applicability for a real-world case of a project-based organisation. The modeling approach was able to successfully address this complex case by designing a third-order adaptive network model. Doing this,...

This paper describes how second-order adaptive network models for mental processes can be used to model and support (shared) mental models for team performance and organizational learning. The paper illustrates on the one hand the value of adequate shared mental models for safe and efficient team and organizational performance. On the other hand, i...

This study introduces a second-level adaptive temporal-causal decision model for deciding whether to keep or not to keep a baby. In this model, different actors and factors that influence the decision-making process have been incorporated based on literature. Hereby, the actors are responsible for the Hebbian learning component and make the model a...

For a video presentation, see https://www.youtube.com/watch?v=SRfB0Pphi34. Interpersonal synchrony usually induces behavioural adaptivity concerning the interaction between people. Such behavioural adaptivity is assumed to be driven by some form of subjective internal synchrony detection. In contrast to objective synchrony detection by an external...

For a video presentation, see https://www.youtube.com/watch?v=PRUzrkf1mW4. When people interact, their behaviour tends to become synchronized, a mutual coordination process that fosters short-term adaptations, like increased affiliation, and long-term adaptations, like increased bonding. This paper addresses for the first time how such short-term a...

In this paper, a second-order adaptive network model is introduced for presenting a user with content they like on a platform through a specific method. Simulation results have been performed with different scenarios for different starting values of the user and the platform. In all scenarios, the platform's method using its so-called fake state ca...

For a video presentation on YouTube, see https://www.youtube.com/watch?v=kMl-lHNO7Z0. This joint Keynote Speech addresses how the complex process of organisational learning involving a dynamic interplay of different forms of learning can be modeled computationally. The recently developed computational intelligence approach to address this covers, f...

Invited speech. For a video presentation on YouTube, see https://www.youtube.com/watch?v=x0hYoTIEo9E. Within the literature, many specific conceptual learning mechanisms have been identified that play a role in organisational learning. Organisational learning emerges as an interplay of them. To be able to develop computational models for organisati...

Reactions to social pain and the behavioral strategies adopted as a consequence of it are a complex and adaptive phenomenon that leads to major consequences to a person's social functioning and overall well-being. As such be-havioral strategies are something that change over time and are difficult to explain by simple linear correlations, a second-...

This paper introduces a second-order adaptive mental network model to simulate the use of two different aspects of ADHD therapy The model supports the idea put forward that with therapy negative/detrimental behaviours were reduced and positive behaviours increased and this continued even after the therapy had finished.

In this paper, equilibrium analysis for network models is addressed and applied in particular to a network model of multilevel organisational learning. Equilibrium analysis can take into account both properties of aggregation characteristics and properties of connectivity characteristics of a network. For aggregation characteristics, it is shown ho...

Fear involves activating the fight-or-flight response in order to prevent harm from dangerous threats. However, dysregulation of chronic fear is harmful and can lead to disorders such as post-traumatic stress disorder. Propranolol has been shown to reduce the fear response by reducing norepinephrine. This paper proposes a second-order adaptive netw...

For a video presentation, see the Self-Modeling Networks channel at https://www.youtube.com/watch?v=oRPUKaDizzo. This paper addresses computational analysis by psychological knowledge in motor learning of how people with certain personalities, alone and in pairs, are being influenced by several factors during their motor learning processes. To this...

For a video presentation, see the Self-Modeling Networks channel: https://www.youtube.com/watch?v=ah6SsLOoOV8. This paper describes a multi-level adaptive network model for mental processes making use of shared mental models in the context of organizational learning in team-related performances. The paper describes the value of using shared mental...

In this paper, a second-order adaptive self-modeling network model is introduced to model collective emotional response during frequent repetitive reward-based gaming. The model makes use of organizational learning using sharing individual learning over shared gaming experiences. Simulation showed a relevant prediction of skill-building affected by...

This paper describes a second-order adaptive network model for mental processes making use of shared mental models (SMM) for team performance. The paper illustrates on the one hand the value of adequate SMM's for safe and efficient team performance and on the other hand in cases of imperfections of such shared team models how this complicates the t...

Organisational learning processes often exploit developed individual mental models in order to obtain shared mental models for the organisation by some form of unification or aggregation. The focus in this paper is on this aggregation process, which may depend on a number of contextual factors. It is shown how a second-order adaptive network model...

Reactions to social pain and the behavioral strategies adopted as a consequence of it are a complex and adaptive phenomenon that leads to major consequences to a person’s social functioning and overall well-being. As such behavioral strategies are something that change over time and are difficult to explain by simple linear correlations, a model su...

People spontaneously synchronize their mental states and behavioral actions when they interact. This paper models general mechanisms that can lead to the emergence of interpersonal synchrony by multiple agents with internal cognitive and affective states. In our simulations, one agent was exposed to a repeated stimulus and the other agent started t...