Information based decision making

Patients, purchasers, regulators and others expect practice to be based on sound judgment and best evidence; however, the proportion of clinical practice that has a basis in published scientific research is lower than one would expect. And the time it takes to translate new research findings into clinical practice can take years. Clinical evidence and expertise together shape the options that are clinically reasonable.

Information based decision making

Data: the key requirement for a successful data-driven business culture

The agents in his model are active Brownian particles that have two different internal states employed and unemployed. Employed agents generate a field around themselves, the force of which depends on the wage. This field attracts unemployed agents who move towards it.

Information based decision making

Schweitzer compared his results to those of Krugmanwho studied the same problem. Schweitzer was not interested in any particular behavioural theory, but rather in outcomes on the macrolevel and the basic rules that generate these outcomes.

Information based decision making

While the authors call their approach a statistical mechanics Ising model, their agents are utility maximisers. The model is essentially a Harris—Todaro type model of rural—urban labour migration.

The authors showed the parameter settings under which the equilibrium condition from Harris and Todaro —namely, the equalisation of expected wages in the rural and the urban sectors—can be brought about. The model of El Saadi et al. Their aim was not to explain migration, but rather to evaluate the effects of migration on the evolution of cooperation.

They posited that migration is governed by a simple rule: The purpose of that game with the neighbours in the destination area is to learn the best strategy i.

When the game is over, the individual imitates the strategy of the neighbour with the highest pay-off. The authors found that long-range migration enhances cooperation.

The great advantage of minimalist behavioural models is their simplicity, but the empirical relevance of the decision rules employed in these models is questionable. Microeconomic Expected Utility Maximisation The model by Heiland is the agent-based model of migration that is most closely aligned with standard economic theory.

Because the agents in the model do not interact, it could be argued that it is not an ABM at all. Yet, we decided to include it because it fulfils the other criteria and is thus an interesting borderline case.

Heiland used the model to study the migration of East Germans to West Germany after German unification. The potential migrants in the model perform finite horizon and discrete time expected utility maximisation with rational expectations.

The control variable is the location choice, and the state variables are employment status and location. Utility is derived from the consumption opportunities and the amenities at the location, the evaluation of which will differ between individuals apart from the initial location, this is the only point of heterogeneity.

The expectation is formed in the first period, during which individuals correctly predict—given some stochastic influence—their employment probabilities, income, search costs, and migration costs.

5 Biases in Decision Making - Part 2

The optimal decision rules are derived by backward induction using a dynamic programming algorithm. Heiland demonstrated that geographic proximity and the differences in the demand for technically skilled labour across western German states largely explain the distribution of migrants across states.

His model also accurately predicted the decrease in migration over the years. The model by Biondo et al. In the model, the agents maximise income, for which social capital serves as a proxy. Social capital increases with the duration of stay. The equilibrium is reached when the expected wages are equal in rural and urban areas, as is postulated in the model by Harris and Todaro However, the agents have perfect information about all of the macrolevel variables.

Their rationality is not bounded in any way. Workers leave their current state with a fixed probability; the only actual decision is which sector they will move to. This is done via utility maximisation: The probability of choosing a location is then formulated as a discrete choice model logit model.


It is something of a catch-all, as it covers a wide range of theories from social psychology. Three migration ABMs fall into this category.Evidence-based medicine (EBM) and shared decision making (SDM) are both essential to quality health care, yet the interdependence between these 2 approaches is not generally appreciated.

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Knowledge-based decision making - Wikipedia