Fiora Salis

In this paper we explore the hypothesis that constrained uses of imagination are crucial to economic modeling. We propose a theoretical framework to develop this thesis through a number of specific hypotheses that we test and refine through six new, representative case studies. Our ultimate goal is to develop a philosophical account that is practice oriented and informed by empirical evidence. To do this, we deploy an abductive reasoning strategy. We start from a robust set of hypotheses and leave space for the generation of further hypotheses and theoretical claims based on the qualitative analysis of new empirical data.

Fiora Salis compares the fictional and the artifactual views of models. She argues that both accounts contain several deep insights concerning the nature of scientific models but they also face some difficult challenges. She then puts forward an account of the ontology of models intended to incorporate the benefits of both views avoiding their main difficulties. Her key idea is that models are human-made artifacts that are akin to literary works of fiction. In this view, models are complex objects that are constituted by a model description and the model content generated within a game of make-believe. As per the fiction view, model descriptions are construed as props in a game of make-believe, where props are concrete objects that prescribe certain imaginings. As per the artifactual view, model descriptions are construed as concrete representational tools that enable and constrain a scientist’s cognitive processes and provide intersubjective epistemic access to their imaginings.

Theoretical models are widely held as sources of knowledge of reality. Imagination is vital to their development and to the generation of plausible hypotheses about reality. But how can imagination, which is typically held to be completely free, effectively instruct us about reality? In this paper I argue that the key to answering this question is in constrained uses of imagination. More specifically, I identify make-believe as the right notion of imagination at work in modelling. I propose the first overarching taxonomy of types of constraints on scientific imagination that enables knowledge of reality. And I identify two main kinds of knowledge enabled by models, knowledge of the imaginary scenario specified by models and knowledge of reality.

What are theoretical models and how do they contribute to a scientific understanding of reality? In this chapter, I will argue that models are akin to fictional stories in that they are human-made artifacts created through the imaginative activities of scientists. And I will suggest that the sort of imagination involved in modeling is make-believe and that this is constrained in three main ways which, together, enable knowledge of reality. I will conclude by addressing recent criticisms against the fiction view of models and the relevance of scientific imagination in modeling put forward by Weisberg and Knuuttila.

According to Millianism, the meaning of a name is exhausted by its referent. According to anti-realism about fictional entities, there are no such entities. If there are no fictional entities, how can we explain the apparent meaningfulness of fictional names? Our best theory of fiction, Walton’s theory of make-believe, makes the same assumptions but lacks the theoretical resources to answer the question. In this paper, I propose a pragmatic solution in terms of two main dimensions of meaning, a subjective, psychological dimension and an intersubjective, public dimension. The psychological dimension builds on the notion of mental files; the public dimension builds on Stalnaker’s notion of common ground. The account is coherent with two main theoretical principles, parsimony and uniformity. Furthermore, it satisfies three explanatory conditions posed by the intentionality of our thought and discourse about fiction, object-directedness, counterfictional imagining and intersubjective identification.

How do scientific models represent in a way that enables us to discover new truths about reality and draw inferences about it? Contemporary accounts of scientific discovery answer this question by focusing on the cognitive mechanisms involved in the generation of new ideas and concepts in terms of a special sort of reasoning—or model-based reasoning—involving imagery. Alternatively, I argue that answering this question requires that we recognise the crucial role of the propositional imagination in the construction and development of models for the purpose of generating hypotheses that are plausible candidates for truth. I propose simple fictionalism as a new account of models as Waltonian games of make-believe and suggest that models can lead to genuine scientific discovery when they are used as representations that denote real world phenomena and generate two main kinds of theoretical hypotheses, model-world comparisons and direct attributions.

How do models represent reality? There are two conditions that scientific models must satisfy to be representations of real systems, the aboutness condition and the epistemic condition. In this article, I critically assess the two main fictionalist theories of models as representations, the indirect fiction view and the direct fiction view, with respect to these conditions. And I develop a novel proposal, what I call ‘the new fiction view of models’. On this view, models are akin to fictional stories; they represent real-world phenomena if they stand in a denotation relation with reality; and they enable knowledge of reality via the generation of theoretical hypotheses, model–world comparisons and direct attributions.

The problem of intersubjective identification arises from the difficulties of explaining how our thoughts and discourse about fictional characters can be directed towards the same (or different) characters given the assumption that there are no fictional entities. In this paper I aim to offer a solution in terms of participation in a practice of thinking and talking about the same thing, which is inspired by Sainsbury's name-using practices. I will critically discuss a similar idea that was put forward by Friend in terms of participation in what Perry calls a notion-network. I will then argue in favor of Sainsbury's baptism-based approach against Perry's information-based approach and I will answer some recent objections that Friend put forward against the former

In this entry I present one of the most hotly debated issues in contemporary analytic philosophy regarding the nature of fictional entities and the motivations that might be adduced for and against positing them into our ontology. The entry is divided in two parts. In the first part I offer an overview of the main accounts of the metaphysics of fictional entities according to three standard realist views, fictional Meinongianism, fictional possibilism and fictional creationism. In the second part I describe two main kinds of arguments for or against positing fictional entities into our ontology. The first kind is traditionally inspired by the linguistic data coming from our talk about fictional characters. The second kind is more recent and it builds on genuine ontological considerations.

The problem of satisfaction conditions arises from the apparent difficulties of explaining the nature of the mental states involved in our emotional responses to tragic fictions. Greg Currie has recently proposed to solve the problem by arguing for the recognition of a class of imaginative counterparts of desires - what he and others call i-desires. In this paper I will articulate and rebut Currie's argument in favour of i-desires and I will put forward a new solution in terms of genuine desires. To this aim I will show that the same sort of puzzling phenomenon involved in our responses to tragic fictions arises also in a non-fictional case, and I will offer a solution to the problem of satisfaction conditions that dispenses with i-desires. The key to the explanation is in the notion of condition-dependent desires triggered by fictions.