Journal ArticleDOI
Models are experiments, experiments are models
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TLDR
A model is a representation of something beyond itself in the sense of being used as a representative of that something, and in prompting questions of resemblance between the model and that something.Abstract:
A model is a representation of something beyond itself in the sense of being used as a representative of that something, and in prompting questions of resemblance between the model and that something. Models are substitute systems that are directly examined in order to indirectly acquire information about their target systems. An experiment is an arrangement seeking to isolate a fragment of the world by controlling for causally relevant things outside that fragment. It is suggested that many theoretical models are (‘thought’) experiments, and that many ordinary experiments are (‘material’) models. The major difference between the two is that the controls effecting the required isolation are based on material manipulations in one case, and on assumptions in the other.read more
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Journal ArticleDOI
What do business models do? Narratives, calculation and market exploration
TL;DR: In this article, the authors investigate the role played by business models in the innovation process and show that the business model is a narrative and calculative device that allows entrepreneurs to explore a market and plays a performative role by contributing to the construction of the technoeconomic network of an innovation.
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Empirical Validation of Agent-Based Models: Alternatives and Prospects
TL;DR: This paper addresses a set of methodological problems arising in the empirical validation of agent-based (AB) economics models and discusses how these are currently being tackled and gives rise to a novel taxonomy that captures the relevant dimensions along which AB modellers differ.
Journal ArticleDOI
Modelling and representing: An artefactual approach to model-based representation
TL;DR: This article argued that the traditional representational approach is too limiting as regards the epistemic value of modelling given the focus on the relationship between a single model and its supposed target system, and the neglect of the actual representational means with which scientists construct models.
Journal ArticleDOI
MISSing the World. Models as Isolations and Credible Surrogate Systems
TL;DR: This article shows how the MISS account of models—as isolations and surrogate systems—accommodates and elaborates Sugden and Hausman's accounts of models as explorations and models as credible worlds.
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Alternative Approaches to the Empirical Validation of Agent-Based Models
TL;DR: In this paper, the authors draw on the metaphor of a spectrum of models ranging from the most theory-driven to the most evidence-driven, and investigate the practice and criteria that will be appro- priate to validation of different models.
References
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Book ChapterDOI
Papers in Experimental Economics: Microeconomic Systems as an Experimental Science
BookDOI
Models as Mediators: Perspectives on Natural and Social Science
Mary S. Morgan,Margaret Morrison +1 more
TL;DR: The editors provide a framework which covers the construction and function of scientific models, and explore the ways in which they enable us to learn about both theories and the world.
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Models as Mediators
Margaret Morrison,Mary S. Morgan +1 more
TL;DR: The editors provide a framework which covers the construction and function of scientific models, and explore the ways in which they enable us to learn about both theories and the world.
Journal ArticleDOI
Credible worlds: the status of theoretical models in economics
TL;DR: The authors argue that such models are not abstractions from, or simplifications of, the real world They describe counterfactual worlds which the modeller has constructed The gap between model world and real world can be filled only by inductive inference, and we can have more confidence in such inferences, the more credible the model is as an account of what could have been true.