Design plays an integral role in the functions of modern society. Yet the abstract process by which designers carry out their work is not obvious. The study of design thinking has grown in recent years into a major area of academic research, yet it presently lacks a clear theoretical basis; and as a discipline, its methodologies are disparate. Here, we outline and clarify the framework of the scholarly study of design thinking, introducing the major ideas and concepts (...) upon which the field is based. We then discuss in detail the various methodological issues of the field, and argue that, in its current state, the field of design thinking cannot sustain itself as an independent area of academic research. We suggest that design thinking may best be studied from a sociological or science, technology, and society (STS) studies perspective. (shrink)

In this essay I propose that what design principles in systems biology and systems neuroscience do is to present abstract characterizations of mechanisms, and thereby facilitate mechanistic explanation. To show this, one design principle in systems neuroscience, i.e., the multilayer perceptron, is examined. However, Braillard (2010) contends that design principles provide a sort of non-mechanistic explanation due to two related reasons: they are very general and describe non-causal dependence relationships. In response to this, I argue (...) that, on the one hand, all mechanisms are more or less general (or abstract), and on the other, many (if not all) design principles are causal systems. (shrink)

This paper examines the explanatory distinctness of wiring optimization models in neuroscience. Wiring optimization models aim to represent the organizational features of neural and brain systems as optimal (or near-optimal) solutions to wiring optimization problems. My claim is that that wiring optimization models provide design explanations. In particular, they support ideal interventions on the decision variables of the relevant design problem and assess the impact of such interventions on the viability of the target system.

We propose a formal framework for interpretable machine learning. Combining elements from statistical learning, causal interventionism, and decision theory, we design an idealised explanation game in which players collaborate to find the best explanation for a given algorithmic prediction. Through an iterative procedure of questions and answers, the players establish a three-dimensional Pareto frontier that describes the optimal trade-offs between explanatory accuracy, simplicity, and relevance. Multiple rounds are played at different levels of abstraction, allowing the players to (...) explore overlapping causal patterns of variable granularity and scope. We characterise the conditions under which such a game is almost surely guaranteed to converge on a optimal explanation surface in polynomial time, and highlight obstacles that will tend to prevent the players from advancing beyond certain explanatory thresholds. The game serves a descriptive and a normative function, establishing a conceptual space in which to analyse and compare existing proposals, as well as design new and improved solutions. (shrink)

This paper explores the implications of conceptualising phenomenology as explanatory for the ongoing dialogue between the phenomenological tradition and cognitive science, especially enactive approaches to cognition. The first half of the paper offers three interlinked arguments: Firstly, that differentiating between phenomenology and the natural sciences by designating one as descriptive and the other as explanatory undermines opportunities for the kind of productive friction that is required for genuine ‘mutual enlightenment’. Secondly, that conceiving of phenomenology as descriptive rather than explanatory risks (...) committing us to what Zahavi (2019) identifies as the error of equating the phenomenological with the phenomenal. Finally, that the erroneous reduction to the descriptive occludes the rich resources that the phenomenological tradition can contribute to investigations of non-human cognition. The second half of the paper then turns to focus specifically on the promising relationship between phenomenology and enactive approaches to cognition. It will suggest that phenomenology must be seen as having explanatory capacities if it is to shed light on the structures of “mind in life” (Thompson, 2007), before drawing on the model of explanation put forward by Louis Sass to explore what this might look like. (shrink)

Consider an infinite series whose items are each explained by their immediate successor. Does such an infinite explanation explain the whole series or does it leave something to be explained? Hume arguably claimed that it does fully explain the whole series. Leibniz, however, designed a very telling objection against this claim, an objection involving an infinite series of book copies. In this paper, I argue that the Humean claim can, in certain cases, be saved from the Leibnizian “infinite book (...) copies” objection, and that this provides an interesting way to defuse some cosmological arguments for the existence of God and to give a non-theistic but complete explanation of the Universe. In the course of my argumentation, I also show that circular explanations can be “self-explanatory” as well: explaining two items by each other can explain the couple of items tout court. (shrink)

This paper critiques the new mechanistic explanatory program on grounds that, even when applied to the kinds of examples that it was originally designed to treat, it does not distinguish correct explanations from those that blunder. First, I offer a systematization of the explanatory account, one according to which explanations are mechanistic models that satisfy three desiderata: they must 1) represent causal relations, 2) describe the proper parts, and 3) depict the system at the right ‘level.’ Second, I argue that (...) even the most developed attempts to fulfill these desiderata fall short by failing to appropriately constrain explanatorily apt mechanistic models. -/- *This paper used to be called "The Emperor's New Mechanisms". (shrink)

Autoinhibition is a design principle realized in many molecular mechanisms in biology. After explicating the notion of a design principle and showing that autoinhibition is such a principle, we focus on how researchers discovered instances of autoinhibition, using research establishing the autoinhibition of the molecular motors kinesin and dynein as our case study. Research on kinesin and dynein began in the fashion described in accounts of mechanistic explanation but, once the mechanisms had been discovered, researchers discovered that (...) they exhibited a second phenomenon, autoinhibition. The discovery of autoinhibition not only reverses the pattern in terms of which philosophers have understood mechanism discovery but runs counter to the one phenomenon-one mechanism principle assumed to relate mechanisms and the phenomena they explain. The ubiquity of autoinhibition as a design principle, therefore, necessitates a philosophical understanding of mechanisms that recognizes how they can participate in more than one phenomenon. Since mechanisms with this design are released from autoinhibition only when they are acted on by control mechanisms, we advance a revised account of mechanisms that accommodates attribution of multiple phenomena to the same mechanism and distinguishes them from other processes that control them. (shrink)

In this essay I suggest that we view design principles in systems biology as minimal models, for a design principle usually exhibits universal behaviors that are common to a whole range of heterogeneous (living and nonliving) systems with different underlying mechanisms. A well-known design principle in systems biology, integral feedback control, is discussed, showing that it satisfies all the conditions for a model to be a minimal model. This approach has significant philosophical implications: it not only accounts (...) for how design principles explain, but also helps clarify one dispute over design principles, e.g., whether design principles provide mechanistic explanations or a distinct kind of explanations called design explanations. (shrink)

People often think of objects teleologically. For instance, we might understand a hammer in terms of its purpose of driving in nails. But how should we understand teleological thinking in the first place? This paper separates mere teleology (simply ascribing a telos) and teleological explanation (thinking something is explained by its telos) by examining cases where an object was designed for one purpose but is now widely used for a different purpose. Across four experiments, we show that teleology judgments (...) and teleological explanation judgments are dissociable, and identify three factors that influenced teleology judgments (and one that did not). (shrink)

Santiago Ramón y Cajal, the primary architect of the neuron doctrine and the law of dynamic polarization, is considered to be the founder of modern neuroscience. At the same time, many philosophers, historians, and neuroscientists agree that modern neuroscience embodies a mechanistic perspective on the explanation of the nervous system. In this paper, I review the extant mechanistic interpretation of Cajal’s contribution to modern neuroscience. Then, I argue that the extant mechanistic interpretation fails to capture the explanatory import of (...) Cajal’s law of dynamic polarization. My claim is that the definitive formulation of Cajal’s law of dynamic polarization, despite its mechanistic inaccuracies, embodies a non-mechanistic pattern of reasoning (i.e., design explanation) that is an integral component of modern neuroscience. (shrink)

Mental explanations of behaviour are physical explanations of a special kind. Mental events are physical events. Mental explanations of physical behaviour are not mysterious, they designate events with physical causal powers. Mentalistic terms differ from physicalistic ones in the way they specify events: the former cite extrinsic properties, the latter intrinsic properties. The nature of explanation in general is discussed, and a naturalistic view of intentionality is proposed. The author shows why epistemological considerations rule out the elimination of "mentalistic (...) talk" from explanations of behaviour. (shrink)

Motivated by examples, many philosophers believe that there is a significant distinction between states of affairs that are striking and therefore call for explanation and states of affairs that are not striking. This idea underlies several influential debates in metaphysics, philosophy of mathematics, normative theory, philosophy of modality, and philosophy of science but is not fully elaborated or explored. This paper aims to address this lack of clear explanation first by clarifying the epistemological issue at hand. Then it (...) introduces an initially attractive account for strikingness that is inspired by the work of Paul Horwich and adopted by a number of philosophers. The paper identifies two logically distinct accounts that have both been attributed to Horwich and then argues that, when properly interpreted, they can withstand former criticisms. The final two sections present a new set of considerations against both Horwichian accounts that avoid the shortcomings of former critiques. It remains to be seen whether an adequate account of strikingness exists. (shrink)

The aim of this paper is to draw the attention of those conducting research on imagery to the different kinds of visual information deployed by expert drawers compared to non-expert drawers. To demonstrate this difference I draw upon the cognitive science literature on vision and imagery to distinguish between three different ways that visual phenomena can be represented in memory: structural descriptions, denotative descriptions, and configural descriptions. Research suggests that perception and imagery deploy the same mental processes and that the (...) drawing of one's imagery would require the simultaneous deployment of these very processes. I reason that drawing a picture of one's imagery is not possible. I hypothesize that when required to draw a picture from memory, both expert and non-expert drawers access their denotative description of the object rather than their imagery. I then suggest how my hypothesis could be tested and if accurate, how this finding would impact upon the design and interpretation of experiments on imagery when drawing is involved. I also suggest why the constraints that perception places upon the simultaneous deployment of imagery appear not to cause the same constraints in autistic savant drawers and visual agnosia patients. (shrink)

One of the most commonly-raised objections to the design argument is the so-called “who designed the designer?” objection, which charges that any designer invoked to explain complexity in the universe will feature complexity of its own, and thus require explanation in terms of design. There are two distinct versions of this objection in the contemporary literature, with it being couched in terms of: (1) Complexity of designer: a designer exhibits complexity, which calls for explanation in terms (...) of design; (2) Complexity of ideas: a designer’s ideas exhibit complexity, which calls for explanation in terms of design. To each of these versions of the objection there corresponds various responses from proponents of design. These proponents adopt a very particular strategy when crafting their responses: they argue that the objection can be neutralised simply by appealing to one or more of God’s attributes. In this paper I argue that this strategy is inapt, and unable to yield a successful response to either version of the objection. I also argue that a more promising way of tackling the objections is to identify their own peculiar weaknesses, for once these are exposed the objections cease to be a credible threat to the design hypothesis. (shrink)

While a great deal of abuse has been directed at intelligent design theory (ID), its starting point is a fact about biological organisms that cries out for explanation, namely "specified complexity" (SC). Advocates of ID deploy three kind of argument from specified complexity to the existence of a designer: an eliminative argument, an inductive argument, and an inference to the best explanation. Only the first of these merits the abuse directed at it; the other two arguments are (...) worthy of respect. If they fail, it is only because we have a better explanation of SC, namely Darwin's theory of evolution by natural selection. (shrink)

I argue that Evolutionary Psychologists’ notion of adaptationism is closest to what Peter Godfrey-Smith (2001) calls explanatory adaptationism and as a result, is not a good organizing principle for research in the biology of human behavior. I also argue that adopting an alternate notion of adaptationism presents much more explanatory resources to the biology of human behavior. I proceed by introducing Evolutionary Psychology and giving some examples of alternative approaches to the biological explanation of human behavior. Next I characterize (...) adaptation and explain the range of biological phenomena that can count as adaptations. I go onto introduce the range of adaptationist views that have been distinguished by philosophers of biology and lay out explanatory adaptationism in detail. (shrink)

The main aim of this paper is to examine an almost universal assumption concerning the structure of Paley’s argument for design. Almost all commentators suppose that Paley’s argument is an inductive argument---either an argument by analogy or an argument by inference to the best explanation. I contend, on the contrary, that Paley’s argument is actually a straightforwardly deductive argument. Moreover, I argue that, when Paley’s argument is properly understood, it can readily be seen that it is no good. (...) Finally---although I do not stress this very much---I note that the points that I make about Paley’s argument can carryover to modern design arguments that are based upon the argument that Paley actually gives. (shrink)

This paper sketches a causal account of scientific explanation designed to sustain the judgment that high-level, detail-sparse explanations—particularly those offered in biology—can be at least as explanatorily valuable as lower-level counterparts. The motivating idea is that complete explanations maximize causal economy: they cite those aspects of an event’s causal run-up that offer the biggest-bang-for-your-buck, by costing less (in virtue of being abstract) and delivering more (in virtue making the event stable or robust).

This paper aims at introducing a French audience to the Intelligent Design debate. It starts by reviewing recent attacks on any possibility of a rational account of theism in light of the contemporary theory of evolution. A section is devoted to outlining the genesis of the "wedge" strategy, to distinguish it from young earth creationism, and to highlight the questioning of evolution as our meta-narrative bearing on overall conceptions of the scientific endeavor. The arguments propounded by Behe are reviewed (...) in detail, as the example of blood coagulation as a purported irreducibly complex mechanism is contrasted to the question of system boundaries. Counter-arguments by Miller are reviewed, and a few bottom-line questions are directed to invite a further consideration of the type of engineering this could testify to. The concept of complex specified information is then presented, and contrasted to traditional and lingering axiomatic problems in the theory of probabilities. The problem of the recognition of an intrinsic pattern is also brought together with some work in recent philosophy of causation and explanation. The two opposing strategies, naturalistic evolutionism and intelligent design, are seen as caught in each other's rhetoric, and some probing is offered in the direction of a theory that could surpass those stalling factors. (shrink)

The ongoing explosion of interest in artificial intelligence is fueled in part by recently developed techniques in machine learning. Those techniques allow automated systems to process huge amounts of data, utilizing mathematical methods that depart from traditional statistical approaches, and resulting in impressive advancements in our ability to make predictions and uncover correlations across a host of interesting domains. But as is now widely discussed, the way that those systems arrive at their outputs is often opaque, even to the experts (...) who design and deploy them. Is it morally problematic to make use of opaque automated methods when making high-stakes decisions, like whether to issue a loan to an applicant, or whether to approve a parole request? Many scholars answer in the affirmative. However, there is no widely accepted explanation for why transparent systems are morally preferable to opaque systems. We argue that the use of automated decision-making systems sometimes violates duties of consideration that are owed by decision-makers to decision-subjects, duties that are both epistemic and practical in character. Violations of that kind generate a weighty consideration against the use of opaque decision systems. In the course of defending our approach, we show that it is able to address three major challenges sometimes leveled against attempts to defend the moral import of transparency in automated decision-making. (shrink)

Recently, the Intelligent Design (ID) movement has challenged the claim of many in the scientific establishment that nature gives no empirical signs of having been deliberately designed. In particular, ID arguments in biology dispute the notion that neo-Darwinian evolution is the only viable scientific explanation of the origin of biological novelty, arguing that there are telltale signs of the activity of intelligence which can be recognized and studied empirically. In recent years, a number of Catholic philosophers, theologians, and (...) scientists have expressed opposition to ID. Some of these critics claim that there is a conflict between the philosophy of St. Thomas Aquinas and that of the ID movement, and even an affinity between Aquinas’s ideas and theistic Darwinism. We consider six such criticisms and find each wanting. (shrink)

We consider first the most fundamental „design in Nature”, the explanatory structure of the Universe on the basis of the natural sciences, and the related problem of teleology in Nature. We point out that it is necessary to generalize the presently used explanatory scheme of physics. We derive here the first essentially complete scientific world picture, and obtain new insights answering to the problem of cosmic design. Considering some important objections against teleology, we present counter-arguments, give a new (...) classification of the main classes of teleology and their quantitative complexity measures. Comparing the new classification of teleology with that of Mayr, we give useful examples and indicate why teleology is useful for natural science. As a result, we outline a general picture of the basic types of design in Nature and provide their scientific explanation. (shrink)

Swinburne's Is There A God? presents a brief, updated version of his book, The Existence of God, in which Swinburne argued that criteria used in scientific reasoning could be used to argue that God probably exists. This new book is designed for a wider audience than professional philosophers. Nonetheless, there is much that is new and of interest to philosophers in Is There a God? For example, there is a discussion of Stephen Hawking's cosmology, some new ideas in the philosophy (...) of mind, and a new way of formulating the argument that theism is a simpler explanation of the universe than is materialism. (shrink)

During the idea generation phase of the design process, designers often search for inspirations in external sources of information, such as photographs, written descriptions and physical examples. These sources have potential to enhance creative performance. However, they sometimes become too attached to particular ideas of external precedents or various examples. It refers to fixation which is identified as inadequate adoption of features from existing examples. Influence of the existing examples on creativity and fixation, specifically textual examples, have been discussed (...) in this research. -/- For the nature of design, researchers highlighted the restructuring process of design problem by new sources because the capabilities and boundaries of design problems are not defined very well. Further, the design problem is not knowable at any specific point. Design knowledge identifies itself by its ambiguity. Many models have been developed for design process. The various numbers of divided phases of the models can be seen as having two main areas: (1) idea generation phase (or “ideation”); (2) later phase for details. Idea generation plays an important role in the design process. It is the area of new and creative configurations on design. -/- Creativity is an integral part of the design process. Designers purpose to achieve original ideas to demonstrate their ability and unique designs. External stimuli or inspirational inputs play important roles to increase creativity. They can support moments of stimulation. Associations between information from memory and external stimuli can contribute to the creation of new meanings. Designers are widely influenced by their surroundings in daily lives. However, each stimulus may not be the part of a more creative result Even if designers want to utilize stimulus as an inspirational source, somehow it may fixate their mind to its surface features and they may lose potential creative contributions of the source. It is called fixation. There is much research that shows significant evidence of conformity effects across the design problems. -/- The given examples to designers may cause higher-level fixation and lower-level creativity or vice versa. Fixation may occur when example solutions are introduced, on the other hand, the designers may create more original ideas as well. There is a need for research to find ways to avoid fixation traps or reduce their adverse impact. Thus, this research focuses on variables of the given example. -/- The following claims show some research areas remained unclear: (1) Some researchers investigated textual examples as - one of the modalities of representation - but did not focus on forms of textual examples. (2) Much research has been conducted with examples which are selected by the researcher. Nevertheless, designers can also choose or produce their own stimuli. There is not much research on this possibility. In this context, my research focuses on the following two variables through two studies (Study 1 and 2): (1) forms of textual examples; (2) self-construction of textual examples. First, most of the studies in the literature have focused on visual presentation and there is not enough research on the content and form of the text. The study of textual examples has still not been awarded enough attention especially as various forms of text. Some forms of text are as follows: keyword, paragraph, sentence, poem. These observations lead me to the following research question: Which forms of textual example increase creativity and reduce fixation more? (Study 1). -/- Second, most of the studies regarding textual examples have used prose or keywords. The poems have been ignored. However, poems imply more meaning with fewer words. The structure of the poems enables more creative narratives than structure of prose. Because unusual organization of words stimulates the readers and draws their attention. This activates the creative performance of the reader. The surrealist poem is the extreme form of this activation. It is random assemblies with headlines and sentences which is cut from newspapers. Thus, novel meaning networks are formed. The method of creating a surrealist poem offers a new way of getting inspiration. It is termed as self-construction practice by this research. Through this method, designers create their own example from the given one. Reconstruction of the text may increase the creative process and prevent fixations from the given text. This suggestion led me to the following research question: If the designers write their own poem instead of a given poem (as a self-construction practice), can they internalize the textual example? In addition, does it produce more creative and less fixated designs? (Study 2). Two experimental studies were planned to partially answer the research questions, in which novice students of architecture were asked to solve two different design problems, under different conditions. All of the experimental sessions were conducted in a design education studio. The participants produced sketches and added a written explanation relating to their designs. Fluency, flexibility and repetition of key attributes were calculated by the researcher. -/- Originality, practicality, understanding of the task and quality were ranked by judges. Study 1 shows us tendencies of using various textual forms. Distinctions of keywords and of poems have appeared among them. This emphasizes the role of keyword and poem in the design process as inspirational sources and provides many tips for their potential use. The keyword also leads to a high degree of fixation. However, a low degree of fixation is observed when poems are presented as inspirational examples. -/- In Study 2, the self-constructed poem seems to support develop more successful design ideas from many perspectives. In the context of the surrealist poem, writing and reading the surrealist poem trigger the designers’ imagination. At first, the words and lines of poems seem unrelated to each other and designers try to relate them and solve the puzzle of meaning. Hence, novel meaning networks are formed. It indicates that surrealist poems are able to activate the creative performance of the designers. Writing their own surrealist poems ,as a self-construction practice, motivated designers to begin to produce by having fun. Motivated designers have stimulated themselves to produce creative ideas. In other words, the self-construction process may be added to the design process models in the earlier part of the idea generation phase which is called as pre-design and warm-up phase. This earlier phase makes designers highly motivated and they internalized the given examples. -/- Following the conclusions, several implications and recommendations for the design process and education are discussed. (shrink)

Ever since Darwin people have worried about the sceptical implications of evolution. If our minds are products of evolution like those of other animals, why suppose that the beliefs they produce are true, rather than merely useful? In this chapter we apply this argument to beliefs in three different domains: morality, religion, and science. We identify replies to evolutionary scepticism that work in some domains but not in others. The simplest reply to evolutionary scepticism is that the truth of beliefs (...) in a certain domain is, in fact, connected to evolutionary success, so that evolution can be expected to design systems that produce true beliefs in that domain. We call a connection between truth and evolutionary success a ‘Milvian bridge’, after the tradition which ascribes the triumph of Christianity at the battle of the Milvian bridge to the truth of Christianity. We argue that a Milvian bridge can be constructed for commonsense beliefs, and extended to scientific beliefs, but not to moral and religious beliefs. An alternative reply to evolutionary scepticism, which has been used defend moral beliefs, is to argue that their truth does not depend on their tracking some external state of affairs. We ask if this reply could be used to defend religious beliefs. (shrink)

This chapter presents a historical study of how science has developed and of how philosophical theories of many sorts – philosophy of science, theory of the understanding, and philosophical theology – both enable and constrain certain lines of development in scientific practice. Its topic is change in the legitimacy or acceptability of scientific explanation that invokes purposes, or ends; specifically in the argument from design, in the natural science field of physico-theology, around the start of the eighteenth century. (...) ... The context that produced physico-theology was clearly religious and political. It is unsurprising that a large body of Protestant intellectuals well-placed in a relatively peaceful society with a strong tradition of open speech, would develop links between science and critical discussion of both divinity and the Bible. There were also bounds to the discussion, as Newton, who chose to sit on the sidelines, knew well. Many others on Europe’s continent lived much more intimately with religious division as well as the reminder, in 1633, of Galileo’s failure to arrange a peaceable arrangement between science and religion. These aspects of the rise of physico-theology have not been the focus of this chapter, which has surveyed the philosophical and social origins found in the English context. Science, philosophy of science and other English philosophical currents – most particularly the theory of ideas and understanding that we are familiar with in its later development by John Locke – were formative for a field that might alternatively have been called ‘empirical natural theology.’ Prior shifts in religious sensibility that emptied the Book of Nature of much of its content also prepared the ground. Other philosophical and theological currents not discussed here – most notably theories of divine agency and predestination – and other philosophical trends – the rise of Spinoza’s challenge to such natural theology on the continent – also had both shaping and limiting influences upon the field. Finally, philosophers, including natural philosophers, did much more to promote physico-theology than just write about it: Boyle in particular provided a very important launch pad for the further development of an already healthy tradition of natural theology with his named lectureship, which drew the interest of others in the Royal Society, most notably Isaac Newton, and which spawned two of the most influential physico-theological tracts shortly before and shortly after the turn of the eighteenth century. (shrink)

I have argued that Gettier cases are misleading because, even though they appear to be cases of knowledge failure, they are in fact cases of semantic failure. Atkins has responded to my original paper and I have replied to his response. He has then responded again to insist that he has the so-called “Gettier intuition.” But he now admits that intuitions are only defeasible, not conclusive, evidence for and/or against philosophical theories. I address the implications of Atkins’ admission in this (...) paper and I again show that his attempts to revise Gettier’s original cases such that they do not involve semantic failures are unsuccessful. (shrink)

Why did such highly abstract ideas as truth, knowledge, or justice become so important to us? What was the point of coming to think in these terms? This book presents a philosophical method designed to answer such questions: the method of pragmatic genealogy. Pragmatic genealogies are partly fictional, partly historical narratives exploring what might have driven us to develop certain ideas in order to discover what these do for us. The book uncovers an under-appreciated tradition of pragmatic genealogy which cuts (...) across the analytic-continental divide, running from the state-of-nature stories of David Hume and the early genealogies of Friedrich Nietzsche to recent work in analytic philosophy by Edward Craig, Bernard Williams, and Miranda Fricker. However, these genealogies combine fictionalizing and historicizing in ways that even philosophers sympathetic to the use of state-of-nature fictions or real history have found puzzling. To make sense of why both fictionalizing and historicizing are called for, the book offers a systematic account of pragmatic genealogies as dynamic models serving to reverse-engineer the points of ideas in relation not only to near-universal human needs, but also to socio-historically situated needs. This allows the method to offer us explanation without reduction and to help us understand what led our ideas to shed the traces of their practical origins. Far from being normatively inert, moreover, pragmatic genealogy can affect the space of reasons, guiding attempts to improve our conceptual repertoire by helping us determine whether and when our ideas are worth having. (shrink)

In this paper, I propose that, in addition to the multiverse hypothesis, which is commonly taken to be an alternative explanation for fine-tuning, other than the design hypothesis, the simulation hypothesis is another explanation for fine-tuning. I then argue that the simulation hypothesis undercuts the alleged evidential connection between ‘designer’ and ‘supernatural designer of immense power and knowledge’ in much the same way that the multiverse hypothesis undercuts the alleged evidential connection between ‘fine-tuning’ and ‘fine-tuner’ (or ‘designer’). (...) If this is correct, then the fine-tuning argument is a weak argument for the existence of God. (shrink)

On Jaeggi’s reading, the immanent and progressive features of ideology critique are rooted in the connection between its explanatory and its normative tasks. I argue that this claim can be cashed out in terms of the mechanisms involved in a functional explanation of ideology and that stability plays a crucial role in this connection. On this reading, beliefs can be said to be ideological if (a) they have the function of supporting existing social practices, (b) they are the output (...) of systematically distorted processes of belief formation, (c) the conditions in which distorting mechanisms trigger can be traced back to structural causal factors shaped by the social practice their outputs are designed to support. Functional problems thus turn out to be interlocked with normative problems because ideology fails to provide principles to regulate cooperation that would be accepted under conditions of non-domination, hence failing to anchor a stable cooperative scheme. By explaining ideology as parasitic on domination, ideology critique points to the conditions under which cooperation stabilizes as those of a practice whose principles are accepted without coercion. Thus, it seems to entail a conception of justice whose principles are articulated as part of a theory of social cooperation. (shrink)

This paper offers a critique of an account of explanatory integration that claims that explanations of cognitive capacities by functional analyses and mechanistic explanations can be seamlessly integrated. It is shown that achieving such explanatory integration requires that the terms designating cognitive capacities in the two forms of explanation are stable but that experimental practice in the mind-brain sciences currently is not directed at achieving such stability. A positive proposal for changing experimental practice so as to promote such stability (...) is put forward and its implications for explanatory integration are briefly considered. (shrink)

I criticize the idea that theories of ‘fragmented’ or ‘compartmentalized’ belief (as found in, e.g., Lewis 1982, Egan 2008) can help to account for the puzzling phenomena they are often taken to account for. After introducing fragmentationalism and a paradigm case that purportedly motivates it, I criticize the view primarily on the grounds that the models and explanations it offers are at best trivial—as witnessed by examples of over-generation—and should be seen as merely re-describing in figurative terms the phenomena it (...) is designed to account for. I also point out that fragments, as used in these theories, are not likely to be psychologically real in any robust sense and so cannot be appealed to on such grounds. (shrink)

There have been attempts to subsume Charles Darwin's theory of evolution under either one of two distinct intellectual traditions: early Victorian natural science and its descendants in political economy (as exemplified by Herschel, Lyell, or Malthus) and the romantic approach to art and science emanating from Germany (as exemplified by Humboldt and Goethe). In this paper, it will be shown how these traditions may have jointly contributed to the design of Darwin's theory. The hypothesis is that their encounter created (...) a particular tension in the conception of his theory which first opened up its characteristic field and mode of explanation. On the one hand, the domain of the explanandum was conceived of under a holistic and aesthetic view of nature that, in its combination with refined techniques of observation, was deeply indebted to Humboldt in particular. On the other hand, Darwin fashioned explanations for natural phenomena, so conceived, in order to identify their proper causes in a Herschelian spirit. The particular interaction between these two traditions in Darwin, it is concluded, paved the way for a transfer of the idea of causal laws to animate nature while salvaging the romantic idea of a complex, teleological and harmonious order of nature. Copyright © 2015 Elsevier Ltd. All rights reserved. (shrink)

There is widespread recognition at universities that a proper understanding of science is needed for all undergraduates. Good jobs are increasingly found in fields related to Science, Technology, Engineering, and Medicine, and science now enters almost all aspects of our daily lives. For these reasons, scientific literacy and an understanding of scientific methodology are a foundational part of any undergraduate education. Recipes for Science provides an accessible introduction to the main concepts and methods of scientific reasoning. With the help of (...) an array of contemporary and historical examples, definitions, visual aids, and exercises for active learning, the textbook helps to increase students’ scientific literacy. The first part of the book covers the definitive features of science: naturalism, experimentation, modeling, and the merits and shortcomings of both activities. The second part covers the main forms of inference in science: deductive, inductive, abductive, probabilistic, statistical, and causal. The book concludes with a discussion of explanation, theorizing and theory-change, and the relationship between science and society. The textbook is designed to be adaptable to a wide variety of different kinds of courses. In any of these different uses, the book helps students better navigate our scientific, 21st-century world, and it lays the foundation for more advanced undergraduate coursework in a wide variety of liberal arts and science courses. Selling Points Helps students develop scientific literacy—an essential aspect of _any_ undergraduate education in the 21 st century, including a broad understanding of scientific reasoning, methods, and concepts Written for all beginning college students: preparing science majors for more focused work in particular science; introducing the humanities’ investigations of science; and helping non-science majors become more sophisticated consumers of scientific information Provides an abundance of both contemporary and historical examples Covers reasoning strategies and norms applicable in all fields of physical, life, and social sciences, _as well as_ strategies and norms distinctive of specific sciences Includes visual aids to clarify and illustrate ideas Provides text boxes with related topics and helpful definitions of key terms, and includes a final Glossary with all key terms Includes Exercises for Active Learning at the end of each chapter, which will ensure full student engagement and mastery of the information include earlier in the chapter Provides annotated ‘For Further Reading’ sections at the end of each chapter, guiding students to the best primary and secondary sources available Offers a Companion Website, with: For Students: direct links to many of the primary sources discussed in the text, student self-check assessments, a bank of exam questions, and ideas for extended out-of-class projects For Instructors: a password-protected Teacher’s Manual, which provides student exam questions with answers, extensive lecture notes, classroom-ready Power Point presentations, and sample syllabi Extensive Curricular Development materials, helping any instructor who needs to create a Scientific Reasoning Course, ex nihilo. (shrink)

The debates on the scientificity of social sciences in general, and sociology in particular, are recurring. From the original methodenstreitat the end the 19th Century to the contemporary controversy on the legitimacy of “regional epistemologies”, a same set of interrogations reappears. Are social sciences really scientific? And if so, are they sciences like other sciences? How should we conceive “research programs” Lakatos (1978) or “research traditions” for Laudan (1977) able to produce advancement of knowledge in the field of social and (...) human phenomena? Is the progress of knowledge in social sciences similar to the one generally observed in natural sciences? Is it possible to evaluate the relative merits of each one of these research programs? -/- These debates are important vectors of social and intellectual polarization. The historical divide between the positivist and the hermeneutics poles precedes the structure of the contemporary debate around the epistemic space of social sciences, It is not only a question of renewing the opposition between a monist view of sciences (e.g. McIntyre, 1996) and a dualistic one (e.g. Geertz, 1973) or even a trialist view of sciences (e.g. Lepenies, 1985). It is also a question of asserting dichotomies transformed into framework (including when it is a question of exceeding them): nature-culture, nomothetic-idiographic, models-narrative, structure-history, cause-reason, explanation-comprehension. -/- In this short introduction, we provide, in section 2, a first overview of this epistemological debate in social science. Section 3 proposes a different standpoint on the same questions, by introducing both ontological and methodological aspects in this basic epistemological debate. Namely, following (Hollis, 1994) oppositions of the explanation - understanding, causes - meaning, etc., types discussed in the firsts ection are comparatively examined together with oppositions of the structure - action, holism - individualism types. This allows us to discus show multi-agent design, by integrating various dimensions and standpoints in the same framework (Phan, Amblard, 2007, Chapters 1, 5, 14) can help us to shift these boundaries, and to bypass these oppositions. As model building and ontology design are at the core of this process (Phan, Amblard, 2007, Chapter 12), Section4 discusses various issues of the art of modelling, starting both from economists’ and sociologists’ current standpoints. (shrink)

In this article, I argue that the artificial components of hybrid bionic systems do not play a direct explanatory role, i.e., in simulative terms, in the overall context of the systems in which they are embedded in. More precisely, I claim that the internal procedures determining the output of such artificial devices, replacing biological tissues and connected to other biological tissues, cannot be used to directly explain the corresponding mechanisms of the biological component(s) they substitute (and therefore cannot be used (...) to explain the local mechanisms determining an overall biological or cognitive function replicated by such bionic models). I ground this analysis on the use of the Minimal Cognitive Grid (MCG), a novel framework proposed in Lieto (Cognitive design for artificial minds, 2021) to rank the epistemological and explanatory status of biologically and cognitively inspired artificial systems. Despite the lack of such a direct mechanistic explanation from the artificial component, however, I also argue that the hybrid bionic systems can have an indirect explanatory role similar to the one played by some AI systems built by using an overall structural design approach (but including the partial adoption of functional components). In particular, the artificial replacement of part(s) of a biological system can provide i) a local functional account of that part(s) in the context of the overall functioning of the hybrid biological–artificial system and ii) global insights about the structural mechanisms of the biological elements connected to such artificial devices. (shrink)

Much has been made of how Darwinian thinking destroyed proofs for the existence of God from ‘design’ in the universe. I challenge that prevailing view by looking closely at classical ‘teleological’ arguments for the existence of God. One version championed by Aristotle and Thomas Aquinas stems from how chance is not a sufficient kind of ultimate explanation of the universe. In the course of constructing this argument, I argue that the classical understanding of teleology is no less necessary (...) in modern Darwinian biology than it was in Aristotle's time. In fact, modern biology strengthens the claims that teleological arguments make by vindicating many of their key features. As a consequence, I show how Aristotle and Aquinas' teleological argument for an intelligent First Cause remains valid. (shrink)

The intellectual history of evolutionary theory really does not begin in earnest until the late seventeenth/early eighteenth century. Prior to that, the idea that species might have evolved over time was not a serious possibility for most naturalists and philosophers. There is certainly no substantive debate in antiquity about evolution in the modern sense. There were really only two competing explanations for how living things came to have the parts they do: design or blind chance. Ancient Greek Atomism, for (...) example, taught that all composite bodies, including living things, are generated through the random collision of atoms as they rebel and move in the void. Plato and Aristotle both dismissed this possibility on the grounds that living things are too complex and too well-adapted to be products of chance. This eventually became the central premise in Galen’s own Argument from Design. That species forms might have gradually evolved over time by a process of natural selection was not seen as a plausible alternative. Of course, such a theory had been proposed by Empedocles in the fifth century BCE. But because his theory still relied heavily on chance, it was not taken seriously by any of the later ancient Greek or Roman thinkers. My aim in this paper is to investigate the reasons why evolutionary thinking failed to gain momentum in antiquity after its introduction by Empedocles. (shrink)

Background Neuroimaging and lesion studies suggested that the dorsolateral prefrontal and posterior parietal cortices mediate visual metacognitive awareness. The causal evidence provided by non-invasive brain stimulation, however, is inconsistent. -/- Objective/hypothesis Here we revisit a major figure discrimination experiment adding a new Kanizsa figure task trying to resolve whether bilateral continuous theta-burst transcranial magnetic stimulation (cTBS) over these regions affects perceptual metacognition. Specifically, we tested whether subjective visibility ratings and/or metacognitive efficiency are lower when cTBS is applied to these two (...) regions in comparison to an active control region. -/- Methods A within-subjects design including three sessions spaced by one-week intervals was implemented. In each session, every participant was administered bilateral cTBS to either prefrontal, control or parietal cortices. Two concurrent tasks were performed, a real and an illusory figure task, stabilising objective performance with use of an adaptive staircase procedure. -/- Results When performing the replicated task, cTBS was found insufficient to disrupt neither visibility ratings nor metacognitive efficiency. However, with use of Kanizsa style illusory figures, cTBS over the dorsolateral prefrontal, but not over the posterior parietal cortex, was observed to significantly diminish metacognitive efficiency. -/- Conclusion(s) Real and illusory figure tasks demonstrated different cTBS effects. A possible explanation is the involvement of the prefrontal cortex in the creation of expectations, which is necessary for efficient metacognition. Failure to replicate previous findings for the real figure task, however, cannot be said to support, conclusively, the notion that these brain regions have a causal role in metacognitive awareness. This inconsistent finding may result from certain limitations of our study, thereby suggesting the need for yet further investigation. (shrink)

Computer simulations constitute a significant scientific tool for promoting scientific understanding of natural phenomena and dynamic processes. Substantial leaps in computational force and software engineering methodologies now allow the design and development of large-scale biological models, which – when combined with advanced graphics tools – may produce realistic biological scenarios, that reveal new scientific explanations and knowledge about real life phenomena. A state-of-the-art simulation system termed Reactive Animation (RA) will serve as a study case to examine the contemporary philosophical (...) debate on the scientific value of simulations, as we demonstrate its ability to form a scientific explanation of natural phenomena and to generate new emergent behaviors, making possible a prediction or hypothesis about the equivalent real-life phenomena. (shrink)

With their “bottom-up” approach, Holk Cruse and Malte Schilling present a highly intriguing perspective on those mental phenomena that have fascinated humankind since ancient times. Among them are those aspects of our inner lives that are at the same time most salient and yet most elusive: we are conscious beings with complex emotions, thinking and acting in pursuit of various goals. Starting with, from a biological point of view, very basic abilities, such as the ability to move and navigate in (...) an unpredictable environment, Cruse & Schilling have developed, step-by-step, a robotic system with the ability to plan future actions and, to a limited extent, to verbally report on its own internal states. The authors then offer a compelling argument that their system exhibits aspects of various higher-level mental phenomena such as emotion, attention, intention, volition, and even consciousness. The scientific investigation of the mind is faced with intricate problems at a very fundamental, methodological level. Not only is there a good deal of conceptual vagueness and uncertainty as to what the explananda precisely are, but it is also unclear what the best strategy might be for addressing the phenomena of interest. Cruse & Schilling’s bio-robotic “bottom-up” approach is designed to provide answers to such questions. In this commentary, I begin, in the first section, by presenting the main ideas behind this approach as I understand them. In the second section, I turn to an examination of its scope and limits. Specifically, I will suggest a set of constraints on good explanations based on the bottom-up approach. What criteria do such explanations have to meet in order to be of real scientific value? I maintain that there are essentially three such criteria: biological plausibility, adequate matching criteria, and transparency. Finally, in the third section, I offer directions for future research, as Cruse & Schilling’s bottom-up approach is well suited to provide new insights in the domain of social cognition and to explain its relation to phenomena such as language, emotion, and self. (shrink)

It is often thought that traditional recidivism prediction tools used in criminal sentencing, though biased in many ways, can straightforwardly avoid one particularly pernicious type of bias: direct racial discrimination. They can avoid this by excluding race from the list of variables employed to predict recidivism. A similar approach could be taken to the design of newer, machine learning-based (ML) tools for predicting recidivism: information about race could be withheld from the ML tool during its training phase, ensuring that (...) the resulting predictive model does not use race as an explicit predictor. However, if race is correlated with measured recidivism in the training data, the ML tool may ‘learn’ a perfect proxy for race. If such a proxy is found, the exclusion of race would do nothing to weaken the correlation between risk (mis)classifications and race. Is this a problem? We argue that, on some explanations of the wrongness of discrimination, it is. On these explanations, the use of an ML tool that perfectly proxies race would (likely) be more wrong than the use of a traditional tool that imperfectly proxies race. Indeed, on some views, use of a perfect proxy for race is plausibly as wrong as explicit racial profiling. We end by drawing out four implications of our arguments. (shrink)

Abstract. Intelligent Tutoring System Builder (ITSB) is an authoring tool designed and developed to aid teachers in constructing intelligent tutoring systems in a multidisciplinary fields. The teacher is needed to create a set of pedagogical fundamentals, which, in line, are inured to automatically build up a broad tutor framework and construct an intelligent tutoring system. In this paper an explanation of the theory and the architecture of the tool is outlined. A presentation of several system components, the requirements of (...) the different components, integration of these components in ITSB tool are shown. Furthermore, implanting of requirements, cognitive principle, and common design fundamentals in the tool to ease the use of teachers. A variety of design matters, an example of building an intelligent tutoring system for teaching Java language using ITSB tool and an evaluation are presented. (shrink)

This book introduces readers to the many arguments and controversies concerning abortion. While it argues for ethical and legal positions on the issues, it focuses on how to think about the issues, not just what to think about them. It is an ideal resource to improve your understanding of what people think, why they think that and whether their (and your) arguments are good or bad, and why. It's ideal for classroom use, discussion groups, organizational learning, and personal reading. -/- (...) From the Preface -/- To many people, abortion is an issue for which discussions and debates are frustrating and fruitless: it seems like no progress will ever be made towards any understanding, much less resolution or even compromise. -/- Judgments like these, however, are premature because some basic techniques from critical thinking, such as carefully defining words and testing definitions, stating the full structure of arguments so each step of the reasoning can be examined, and comparing the strengths and weaknesses of different explanations can help us make progress towards these goals. -/- When emotions run high, we sometimes need to step back and use a passion for calm, cool, critical thinking. This helps us better understand the positions and arguments of people who see things differently from us, as well as our own positions and arguments. And we can use critical thinking skills help to try to figure out which positions are best, in terms of being supported by good arguments: after all, we might have much to learn from other people, sometimes that our own views should change, for the better. -/- Here we use basic critical thinking skills to argue that abortion is typically not morally wrong. We begin with less morally-controversial claims: adults, children and babies are wrong to kill and wrong to kill, fundamentally, because they, we, are conscious, aware and have feelings. We argue that since early fetuses entirely lack these characteristics, they are not inherently wrong to kill and so most abortions are not morally wrong, since most abortions are done early in pregnancy, before consciousness and feeling develop in the fetus. -/- Furthermore, since the right to life is not the right to someone else’s body, fetuses might not have the right to the pregnant woman’s body—which she has the right to—and so she has the right to not allow the fetus use of her body. This further justifies abortion, at least, until technology allows for the removal of fetuses to other wombs. Since morally permissible actions should be legal, abortions should be legal: it is an injustice to criminalizing actions that are not wrong. -/- In the course of arguing for these claims, we: 1. discuss how to best define abortion; 2. dismiss many common “question-begging” arguments that merely assume their conclusions, instead of giving genuine reasons for them; 3. refute some often-heard “everyday arguments” about abortion, on all sides; explain why the most influential philosophical arguments against abortion are unsuccessful; 4. provide some positive arguments that at least early abortions are not wrong; 5. briefly discuss the ethics and legality of later abortions, and more. -/- This essay is not a “how to win an argument” piece or a tract or any kind of apologetics. It is not designed to help anyone “win” debates: everybody “wins” on this issue when we calmly and respectfully engage arguments with care, charity, honesty and humility. This book is merely a reasoned, systematic introduction to the issues that we hope models these skills and virtues. Its discussion should not be taken as absolute “proof” of anything: much more needs to be understood and carefully discussed—always. (shrink)

This chapter provides an explanation of precedent as a kind of artefact, in keeping with broader accounts of law that do so, specifically the author’s account of law as a genre of institutionalized abstract artefact. The chapter develops its explanation by responding to an argument by Dan Priel against seeing the common law as an artefact when understood to be a form of custom. The chapter shows that customs can themselves be artefacts but also that the precedential elements (...) of common law are not necessarily quite as customary as sometimes considered, showing that the common law built from precedents fits within a distributed design model of artefacts and that stare decisis has a wider systemic function of upholding certain rule of law principles. It ends with some considerations about the institutional nature of precedents, specifically that judicial decisions are most often both applications and developments of legal norms, but also determinations of legal validity. (shrink)

Assume we could someday create artificial creatures with intelligence comparable to our own. Could it be ethical use them as unpaid labor? There is very little philosophical literature on this topic, but the consensus so far has been that such robot servitude would merely be a new form of slavery. Against this consensus I defend the permissibility of robot servitude, and in particular the controversial case of designing robots so that they want to serve human ends. A typical objection to (...) this case draws an analogy to the genetic engineering of humans: if designing eager robot servants is permissible, it should also be permissible to design eager human servants. Few ethical views can easily explain even the wrongness of such human engineering, however, and those few explanations that are available break the analogy with engineering robots. The case turns out to be illustrative of profound problems in the field of population ethics. (shrink)

Common principles for resource allocation in health care can prioritize the alleviation of small health burdens over lifesaving treatment. I argue that there is some evidence that these principles are at odds with a sizable share of public opinion, which holds that saving a life should take priority over any number of cures for minor ailments. I propose two possible explanations for this opinion, one debunking and one vindicatory. I also outline how well-designed surveys and moral inquiry could help decide (...) between them. Finally, I consider how priority-setting principles could be adjusted if the view that saving a life always trumps alleviating small burdens were vindicated. (shrink)

This paper argues that the idea of a computer is unique. Calculators and analog computers are not different ideas about computers, and nature does not compute by itself. Computers, once clearly defined in all their terms and mechanisms, rather than enumerated by behavioral examples, can be more than instrumental tools in science, and more than source of analogies and taxonomies in philosophy. They can help us understand semantic content and its relation to form. This can be achieved because they have (...) the potential to do more than calculators, which are computers that are designed not to learn. Today’s computers are not designed to learn; rather, they are designed to support learning; therefore, any theory of content tested by computers that currently exist must be of an empirical, rather than a formal nature. If they are designed someday to learn, we will see a change in roles, requiring an empirical theory about the Turing architecture’s content, using the primitives of learning machines. This way of thinking, which I call the intensional view of computers, avoids the problems of analogies between minds and computers. It focuses on the constitutive properties of computers, such as showing clearly how they can help us avoid the infinite regress in interpretation, and how we can clarify the terms of the suggested mechanisms to facilitate a useful debate. Within the intensional view, syntax and content in the context of computers become two ends of physically realizing correspondence problems in various domains. (shrink)

In this paper, I argue that Nietzsche’s published works contain a substantial, although implicit, argument for the will to power as ontology—a critical and descriptive, rather than positive and explanatory, theory of reality. Further, I suggest this ontology is entirely consistent with a naturalist methodology. The will to power ontology follows directly from Nietzsche’s naturalist rejection of three metaphysical presuppositions: substance, efficient causality, and final causality. I show that a number of interpretations, including those of Clark, Schacht, Reginster, and Richardson, (...) are inconsistent with Nietzsche’s naturalism, because they presuppose efficient or final causality. In contrast, I argue that the will to power is not an explanatory theory, but a description of the basic, necessary character of reality, designed to critically reveal and minimize metaphysical presuppositions—to reject false explanations of reality and human behavior. It avoids substance-metaphysics by describing reality as will, a causal process without discrete efficient causes or agents. It eliminates efficient causality by describing events as maximal manifestations of power, rather than as agent-actualized potentialities. Finally, it opposes teleology by describing life as tending toward the activity of resistance as such, rather than toward explanatory end-states, such as the accumulation of power or overcoming of resistances. (shrink)