Machine ethics and robot rights are quickly becoming hot topics in artificial intelligence and robotics communities. We will argue that attempts to attribute moral agency and assign rights to all intelligent machines are misguided, whether applied to infrahuman or superhuman AIs, as are proposals to limit the negative effects of AIs by constraining their behavior. As an alternative, we propose a new science of safety engineering for intelligent artificial agents based on maximizing for what humans value. In particular, we challenge (...) the scientific community to develop intelligent systems that have human-friendly values that they provably retain, even under recursive self-improvement. (shrink)

What do we mean when we say that some group believes something? Do we simply mean that all the members of the group believe it, or are we acknowledging the existence of some kind of group agent? According to Margaret Gilbert, talk about group mental states refers to the specific kind of agreements she calls joint commitments — that is, to collectively believe something means to be committed with others to believe it. In my article, I will first present Gilbert’s (...) approach in more detail but will ultimately show that this approach is problematic and will refute it. I will briefly consider the most common solution to the problems Gilbert’s account faces, which lies in replacing collective beliefs with acceptances, but I will show that this solution will not do either. The solution I will then present will be based on Daniel Dennett’s intentional strategy, which is a method of interpreting the things around us and predicting their behaviour by treating them as rational agents with relevant intentions. I will try to show that all the problematic cases of collective belief can be explained by applying the intentional strategy to the groups in question. (shrink)

The author argues that the State is the original manifestation of power, which was contrary to the popular belief of the day. As a result, the State is sovereign, & therefore not bound by any laws.

Models are of central importance in many scientific contexts. The centrality of models such as inflationary models in cosmology, general-circulation models of the global climate, the double-helix model of DNA, evolutionary models in biology, agent-based models in the social sciences, and general-equilibrium models of markets in their respective domains is a case in point (the Other Internet Resources section at the end of this entry contains links to online resources that discuss these models). Scientists spend significant amounts of time building, (...) testing, comparing, and revising models, and much journal space is dedicated to interpreting and discussing the implications of models. In short, models are one of the principal instruments of modern science. (shrink)

The article asks how valid arguments can be identified in legal reasoning if one assumes neither that an answer to this question can be found within the law itself nor that one is required to adopt a purely historical perspective. By combining discourse theory with Wittgenstein’s thoughts, a relativistic approach to discourse is developed. According to this, a general discourse on the legal means of argumentation is to be conducted, in which different positions emerge with regard to respective world pictures. (...) All of these can claim the normative correctness of their results with equal force, even if this must always remain only a temporary state. (shrink)

Most scientific models are not physical objects, and this raises important questions. What sort of entity are models, what is truth in a model, and how do we learn about models? In this paper I argue that models share important aspects in common with literary fiction, and that therefore theories of fiction can be brought to bear on these questions. In particular, I argue that the pretence theory as developed by Walton (1990, Mimesis as make-believe: on the foundations of the (...) representational arts. Harvard University Press, Cambridge/MA) has the resources to answer these questions. I introduce this account, outline the answers that it offers, and develop a general picture of scientific modelling based on it. (shrink)

This monograph offers a critical introduction to current theories of how scientific models represent their target systems. Representation is important because it allows scientists to study a model to discover features of reality. The authors provide a map of the conceptual landscape surrounding the issue of scientific representation, arguing that it consists of multiple intertwined problems. They provide an encyclopaedic overview of existing attempts to answer these questions, and they assess their strengths and weaknesses. The book also presents a comprehensive (...) statement of their alternative proposal, the DEKI account of representation, which they have developed over the last few years. They show how the account works in the case of material as well as non-material models; how it accommodates the use of mathematics in scientific modelling; and how it sheds light on the relation between representation in science and art. The issue of representation has generated a sizeable literature, which has been growing fast in particular over the last decade. This makes it hard for novices to get a handle on the topic because so far there is no book-length introduction that would guide them through the discussion. Likewise, researchers may require a comprehensive review that they can refer to for critical evaluations. This book meets the needs of both groups. (shrink)

Our reply to Fabian Freyenhagen’s article “Was ist orthodoxe Kritische Theorie?” (DZPhil 65.3 [2017], 456-469) raises the question whether his proposal that Critical Theory only “be adequately and appropriately critical” without a program of justification spares the search for any general criteria. Answering negatively we conversely want to recall, particularly with regard to Horkheimers’s and Adornos’s Dialectic of Enlightment as well as Habermas‘s concept of an emancipatory interest, that such a criterion as a normative foundation of critique is crucial not (...) only for systematical purposes, but also recognised as necessary in this respect by Adorno, who Freyenhagen wants to play off against programs of justification. Critical Theory needs to be clear in this respect. Against this background we are questioning Freyenhagen‘s recourse to an “interest in abolishing social injustice” as the “only criterion for Critical Theory.” Because Freyenhagen ignores the fact that Critical Theory has been understood by its representatives in a twofold manner – as a theoretical program of justification for one and secondly as a cultural diagnosis – his plea for an orthodox Critical Theory is endangered by decisionism. (shrink)

Scientific discourse is rife with passages that appear to be ordinary descriptions of systems of interest in a particular discipline. Equally, the pages of textbooks and journals are filled with discussions of the properties and the behavior of those systems. Students of mechanics investigate at length the dynamical properties of a system consisting of two or three spinning spheres with homogenous mass distributions gravitationally interacting only with each other. Population biologists study the evolution of one species procreating at a constant (...) rate in an isolated ecosystem. And when studying the exchange of goods, economists consider a situation in which there are only two goods, two perfectly rational agents, no restrictions on available information, no transaction costs, no money, and dealings are done immediately. Their surface structure notwithstanding, no competent scientist would mistake descriptions of such systems as descriptions of an actual system: we know very well that there are no such systems. These descriptions are descriptions of a model-system, and scientists use model-systems to represent parts or aspects of the world they are interested in. Following common practice, I refer to those parts or aspects as target-systems. What are we to make of this? Is discourse about such models merely a picturesque and ultimately dispensable façon de parler? This was the view of some early twentieth century philosophers. Duhem (1906) famously guarded against confusing model building with scientific theorizing and argued that model building has no real place in science, beyond a minor heuristic role. The aim of science was, instead, to construct theories, with theories understood as classificatory or representative structures systematically presented and formulated in precise symbolic.. (shrink)

In this paper we explore the constraints that our preferred account of scientific representation places on the ontology of scientific models. Pace the Direct Representation view associated with Arnon Levy and Adam Toon we argue that scientific models should be thought of as imagined systems, and clarify the relationship between imagination and representation.

It is now part and parcel of the official philosophical wisdom that models are essential to the acquisition and organisation of scientific knowledge. It is also generally accepted that most models represent their target systems in one way or another. But what does it mean for a model to represent its target system? I begin by introducing three conundrums that a theory of scientific representation has to come to terms with and then address the question of whether the semantic view (...) of theories, which is the currently most widely accepted account of theories and models, provides us with adequate answers to these questions. After having argued in some detail that it does not, I conclude by pointing out in what direction a tenable account of scientific representation might be sought. (shrink)

Everything you always wanted to know about structural realism but were afraid to ask Content Type Journal Article Pages 227-276 DOI 10.1007/s13194-011-0025-7 Authors Roman Frigg, Department of Philosophy, Logic and Scientific Method, London School of Economics and Political Science, Houghton Street, London, WC2A 2AE UK Ioannis Votsis, Philosophisches Institut, Heinrich-Heine-Universität Düsseldorf, Universitätsstraße 1, Geb. 23.21/04.86, 40225 Düsseldorf, Germany Journal European Journal for Philosophy of Science Online ISSN 1879-4920 Print ISSN 1879-4912 Journal Volume Volume 1 Journal Issue Volume 1, Number (...) 2. (shrink)

The received wisdom in statistical mechanics is that isolated systems, when left to themselves, approach equilibrium. But under what circumstances does an equilibrium state exist and an approach to equilibrium take place? In this paper we address these questions from the vantage point of the long-run fraction of time definition of Boltzmannian equilibrium that we developed in two recent papers. After a short summary of Boltzmannian statistical mechanics and our definition of equilibrium, we state an existence theorem which provides general (...) criteria for the existence of an equilibrium state. We first illustrate how the theorem works with a toy example, which allows us to illustrate the various elements of the theorem in a simple setting. After a look at the ergodic programme, we discuss equilibria in a number of different gas systems: the ideal gas, the dilute gas, the Kac gas, the stadium gas, the mushroom gas and the multi-mushroom gas. In the conclusion we briefly summarise the main points and highlight open questions. (shrink)

Science provides us with representations of atoms, elementary particles, polymers, populations, genetic trees, economies, rational decisions, aeroplanes, earthquakes, forest fires, irrigation systems, and the world’s climate. It's through these representations that we learn about the world. This entry explores various different accounts of scientific representation, with a particular focus on how scientific models represent their target systems. As philosophers of science are increasingly acknowledging the importance, if not the primacy, of scientific models as representational units of science, it's important to (...) stress that how they represent plays a fundamental role in how we are to answer other questions in the philosophy of science. This entry begins by disentangling ‘the’ problem of scientific representation, before critically evaluating the current options available in the literature. (shrink)

Computer simulations are an exciting tool that plays important roles in many scientific disciplines. This has attracted the attention of a number of philosophers of science. The main tenor in this literature is that computer simulations not only constitute interesting and powerful new science , but that they also raise a host of new philosophical issues. The protagonists in this debate claim no less than that simulations call into question our philosophical understanding of scientific ontology, the epistemology and semantics of (...) models and theories, and the relation between experimentation and theorising, and submit that simulations demand a fundamentally new philosophy of science in many respects. The aim of this paper is to critically evaluate these claims. Our conclusion will be sober. We argue that these claims are overblown and that simulations, far from demanding a new metaphysics, epistemology, semantics and methodology, raise few if any new philosophical problems. The philosophical problems that do come up in connection with simulations are not specific to simulations and most of them are variants of problems that have been discussed in other contexts before. (shrink)

Classical statistical mechanics posits probabilities for various events to occur, and these probabilities seem to be objective chances. This does not seem to sit well with the fact that the theory’s time evolution is deterministic. We argue that the tension between the two is only apparent. We present a theory of Humean objective chance and show that chances thus understood are compatible with underlying determinism and provide an interpretation of the probabilities we find in Boltzmannian statistical mechanics.

Обґрунтовано стратегію високочастотної біржової торгівлі (high-frequency trading) акціями. Для цього досліджено особливості та обмеження біржової високочастотної торгівлі, визначено верхню межу прибутку агресивного «шкідливого» високочастотного трейдера, обґрунтовано оптимальну частоту стратегії біржової високочастотної торгівлі акціями, розглянуто емпіричне підтвердження прогнозованості біржових курсів акцій на надкоротких горизонтах інвестування.

This is an extensive review of recent work on the foundations of statistical mechanics.

The word «history» can always be understood in two different meanings: as what happened in the past and as a story about the past. One and the same past can be described in different ways. The gap between historical events and representations of these events determines the diversity of historical discourses. Shifting the focus of the philosophy of history from identifying the con- ditions for the possibility of historical knowledge to the analysis of the process of historiography reflects an understanding (...) of the fundamental nature of historical discourses for the formation of pictures of the past. But the fascination with the subject of historical representation often overshadows what makes it possible in principle. Historical discourse is a modern narrative of the past. Thus, the condition for the possibility of historical discursiveness is the mediation of the horizons of the present and the past, which is a fundamental feature of the historicity of human existence. This article explains the discourses of memory and oppositional critical scientific history. Discourses of memory are considered as modern forms of manifestation of the historicity of human existence, because it is in them that the constant mediation of time horizons of the past and present becomes thematic. Critical history declaratively opposes the discourses of memory, but reveals the dependence of its methodological foundations on predetermined forms of under- standing the past presented in memory. The opposition between the discourses of memory and critical history structurally repeats the opposition of tradition and scientific history revealed in hermeneutics. The conceptual shift from tradition to memory reflects the fundamental changes in the modern understanding of historicity associated with the further detraditionalization and globalization of the world. Me- mory appears as a new form of understanding the past, associated with the fear of losing it, as well as understanding the distances and gaps in relation to it. Based on the differentiation of collective memory types, the corresponding types of dis- courses are distinguished. It is argued that historical discourses of identity cannot be identified with historical discourses of power, and historical-didactic and historical-aesthetic discourses are independent forms of modern attitude to the past. In an effort to separate critical reconstruc- tion from memory, scientific discourses become counterfactual to the taken for granted past, represented in the narratives of collective memory. (shrink)

Many scientific models are representations. Building on Goodman and Elgin’s notion of representation-as we analyse what this claim involves by providing a general definition of what makes something a scientific model, and formulating a novel account of how they represent. We call the result the DEKI account of representation, which offers a complex kind of representation involving an interplay of, denotation, exemplification, keying up of properties, and imputation. Throughout we focus on material models, and we illustrate our claims with the (...) Phillips-Newlyn machine. In the conclusion we suggest that, mutatis mutandis, the DEKI account can be carried over to other kinds of models, notably fictional and mathematical models. (shrink)