Seminar 27 January 2023

Everyone who is interested is invited to participate, but we would like to ask you to register.


15.00 – 15.05Welcome and Introduction
15.05 – 16.00Steef Peters (CEO and founder at wallet79)
16.00 – 17.00Ben Meylahn (University of Amsterdam)
17.00 Closing and drinks


Tinbergen Institute Amsterdam

Gustav Mahlerplein 117
1082 MS Amsterdam
The Netherlands


Steef Peters

CEO and founder at wallet79

Toward a General Theory of Organizing – Introducing the Network Field Model

We lay the foundation for a general theory of organizing. We propose that organizing is a continuous process of ongoing mutual or reciprocal influence between objects (e.g., human actors) in a field, whereby a field is infinite and connects all the objects in it much like electromagnetic fields influence atomic and molecular charged objects or gravity fields influence inanimate objects with mass such as planets and stars. We use field theory to build what we now call the Network Field Model. In this model, human actors are modeled as point-like objects in the field. Influence between and investments in these point-like human objects are explained as energy exchanges (potential and kinetic) which can be described in terms of three different types of capital: financial (assets), human capital (the individual) and social (two or more humans in a network). This model is predicated on a field theoretical understanding about the world we live in. Using the model we are able to describe different social-economic effects in networks such as the governance and exchange rules in different markets.

Ben Meylahn

University of Amsterdam

Learning to trust in opinions
We consider the problem of opinion formation as one of trust and learning. The reliability of an opinion is the fraction of life’s experiences it agrees with. By assuming that agents follow a satisficing decision-making rule with a threshold influenced by the opinions held by their neighbours, we are able to design a model for how opinions may change over time in a network of sophisticated agents. This model doesn’t assume that opinions are simply a product of one’s friends and connections but includes a sophisticated mechanism by which these still play a role, in combination with an independent learning procedure. The model is to be presented with preliminary results.