In this paper I propose a Fictional Dualism model of social robots. The model helps us to understand the human emotional reaction to social robots and also acts as a guide for us in determining the significance of that emotional reaction, enabling us to better define the moral and legislative rights of social robots within our society. I propose a distinctive position that allows us to accept that robots are tools, that our emotional reaction to them can be important to (...) their usefulness, and that this emotional reaction is not a direct indicator that robots deserve either moral consideration or rights. The positive framework of Fictional Dualism provides us with an understanding of what social robots are and with a plausible basis for our relationships with them as we bring them further into society. (shrink)

The paper begins by examining the original Turing Test (2T) and Searle’s antithetical Chinese Room Argument, which is intended to refute the 2T in particular, as well as any formal or abstract procedural theory of the mind in general. In the ensuing dispute between Searle and his own critics, I argue that Searle’s ‘internalist’ strategy is unable to deflect Dennett’s combined robotic-systems reply and the allied Total Turing Test (3T). Many would hold that the 3T marks the culmination of the (...) dialectic and, in principle, constitutes a fully adequate empirical standard for judging that an artifact is intelligent on a par with human beings. However, the paper carries the debate forward by arguing that the sociolinguistic factors highlighted in externalist views in the philosophy of language indicate the need for a fundamental shift in perspective in a Truly Total Turing Test (4T). It’s not enough to focus on Dennett’s individual robot viewed as a system; instead, we need to focus on an ongoing system of such artifacts. Hence a 4T should evaluate the general category of cognitive organization under investigation, rather than the performance of single specimens. From this comprehensive standpoint, the question is not whether an individual instance could simulate intelligent behavior within the context of a pre-existing sociolinguistic culture developed by the human cognitive type. Instead the key issue is whether the artificial cognitive type itself is capable of producing a comparable sociolinguistic medium. (shrink)

Fictional Discourse: A Radical Fictionalist Semantics combines the insight of linguistic and philosophical semantics with the study of fictional language. Its central idea is familiar to anyone exposed to the ways of narrative fiction, namely the notion of a fictional teller. Starting with premises having to do with fictional names such as 'Holmes' or 'Emma', Stefano Predelli develops Radical Fictionalism, a theory that is subsequently applied to central themes in the analysis of fiction. Among other things, he discusses the distinction (...) between storyworlds and narrative peripheries, the relationships between homodiegetic and heterodiegetic narrative, narrative time, unreliability, and closure. The final chapters extend Radical Fictionalism to critical discourse, as Predelli introduces the ideas of critical and biased retelling, and pauses on the relationships between Radical Fictionalism and talk about literary characters. (shrink)

We commonly evaluate search engines and the results they return, but what grounds those evaluations? One straightforward way of evaluating search engines appeals to their ability to satisfy the goals of the user. Are there, in addition, user-independent norms, that allow us to evaluate search engines in ways that may come apart from their ability to satisfy the individuals who use them? One way of grounding such norms appeals to moral or political considerations. I argue that in addition to those (...) norms, there are also distinct user-independent epistemic norms that apply to search engines. Evaluating search engines relative to them, however, requires us to appreciate the impact search engines have on our practices and norms of inquiry more broadly: by systematically altering the accessibility of information, search engines don’t just give us information but shape our collective imagination, and the categories it operates over. (shrink)

Modeling is an important scientific practice, yet it raises significant philosophical puzzles. Models are typically idealized, and they are often explored via imaginative engagement and at a certain “distance” from empirical reality. These features raise questions such as what models are and how they relate to the world. Recent years have seen a growing discussion of these issues, including a number of views that treat modeling in terms of indirect representation and analysis. Indirect views treat the model as a bona (...) fide object, specified by the modeler and used to represent and reason about some portion of the concrete empirical world. On some indirect views, model systems are abstract entities, such as mathematical structures, while on other views they are concrete hypothetical things. Here I assess these views and offer a novel account of models. I argue that regarding models as abstracta results in some significant tensions with the practice of modeling, especially in areas where non-mathematical models are common. Furthermore, viewing models as concrete hypotheticals raises difficult questions about model-world relations. The view I argue for treats models as direct, albeit simplified, representations of targets in the world. I close by suggesting a treatment of model-world relations that draws on a recent work by Stephen Yablo concerning the notion of partial truth. (shrink)

Conversational exculpature is a pragmatic process whereby information is subtracted from, rather than added to, what the speaker literally says. This pragmatic content subtraction explains why we can say “Rob is six feet tall” without implying that Rob is between 5'0.99" and 6'0.01" tall, and why we can say “Ellen has a hat like the one Sherlock Holmes always wears” without implying Holmes exists or has a hat. This article presents a simple formalism for understanding this pragmatic mechanism, specifying how, (...) in context, the result of such subtractions is determined. And it shows how the resulting theory of conversational exculpature accounts for a varied range of linguistic phenomena. A distinctive feature of the approach is the crucial role played by the question under discussion in determining the result of a given exculpature. (shrink)

We critically survey prominent recent scholarship on the question of whether fiction can be a source of epistemic value for those who engage with it fully and appropriately. Such epistemic value might take the form of knowledge (for ‘cognitivists’) or understanding (for ‘neo-cognitivists’). Both camps may be sorted according to a further distinction between views explaining fiction’s epistemic value either in terms of the author’s engaging in a form of telling, or instead via their showing some state of affairs to (...) obtain, a special case of which is the provision of self-knowledge. Fictional works that show rather than tell often employ thought experiments. The epistemic value of some fictional works is indicated by their enabling of empathy, itself illuminated via the psychological process of experience-taking. Whether a fictional work offers epistemic value by telling or showing, there is, in principle, no bar to its being able to deliver on what it offers, and consumers of fiction who exercise epistemic vigilance may gain either knowledge or some degree of understanding from their engagement with it. (shrink)

Philosophers take a great deal of interest in the study of meaning, reference, truth and other semantic properties, but remarkably little attention has been paid to the entities that have semantic properties. The view that’s typically taken for granted has two closely related components.

According to most accounts of trust, you can only trust other people (or groups of people). To trust is to think that another has goodwill, or something to that effect. I sketch a different form of trust: the unquestioning attitude. What it is to trust, in this sense, is to settle one’s mind about something, to stop questioning it. To trust is to rely on a resource while suspending deliberation over its reliability. Trust lowers the barrier of monitoring, challenging, checking, (...) and questioning. Trust sets up open pipelines between yourself and parts of the external world. Trust permits external resources to have a similar relationship to one as one’s internal cognitive faculties. This creates efficiency, but at the price of exquisite vulnerability. We must trust in this way because we are cognitively limited beings in a cognitively overwhelming world. Crucially, we can hold the unquestioning attitude towards objects and technologies. When I trust my climbing rope, I stop worrying about its reliability. When I trust my online calendaring system, I simply go to the events indicated, without question. But, one might worry, how could one ever hold such a normatively loaded attitude as trust towards mere objects? How could it ever make sense to feel betrayed by an object? Trust is our engine for expanding and outsourcing our agency — for binding external processes into our practical selves. Thus, we can be betrayed by our smartphones in the same way that we can be betrayed by our memory. When we trust, we try to make something a part of our agency, and we are betrayed when our part lets us down. To unquestioningly trust something is to let it in—to attempt to bring it inside one’s practical functioning. This suggests a new form of gullibility: agential gullibility, which occurs when agents too hastily and carelessly integrate external resources into their own agency. (shrink)

There is an existing debate regarding the view that technological instruments, devices, or machines can assert ‎or testify. A standard view in epistemology is that only humans can testify. However, the notion of quasi-‎testimony acknowledges that technological devices can assert or testify under some conditions, without ‎denying that humans and machines are not the same. Indeed, there are four relevant differences between ‎humans and instruments. First, unlike humans, machine assertion is not imaginative or playful. Second, ‎machine assertion is prescripted and (...) context restricted. As such, computers currently cannot easily switch ‎contexts or make meaningful relevant assertions in contexts for which they were not programmed. Third, ‎while both humans and computers make errors, they do so in different ways. Computers are very sensitive to ‎small errors in input, which may cause them to make big errors in output. Moreover, automatic error control ‎is based on finding irregularities in data without trying to establish whether they make sense. Fourth, ‎testimony is produced by a human with moral worth, while quasi-testimony is not. Ultimately, the notion of ‎quasi-testimony can serve as a bridge between different philosophical fields that deal with instruments and ‎testimony as sources of knowledge, allowing them to converse and agree on a shared description of reality, ‎while maintaining their distinct conceptions and ontological commitments about knowledge, humans, and ‎nonhumans.‎. (shrink)

Sports and competitive games of many kinds—from tag to chess to baseball—are often occasions for make-believe. To participate either as a competitor or as a spectator is frequently to engage in pretense. The activities of playing and watching games have this in common with appreciating works of fiction and participating in children’s make-believe activities, although the make-believe in sports, masked by real interests and concerns, is less obvious than it is in the other cases. What is most interesting about tag (...) and chess and baseball, however, are the ways in which the make-believe they involve differs from other varieties. (shrink)