The pace of technological change continues to outstrip the evolution of democratic institutions, creating an urgent need for innovative approaches to democratic reform. However, the experimentation bottleneck - characterized by slow speed, high costs, limited scalability, and ethical risks - has long hindered progress in democracy research. This paper proposes a novel solution: employing generative artificial intelligence (GenAI) to create synthetic data through the simulation of digital homunculi, GenAI-powered entities designed to mimic human behavior in social contexts. By enabling rapid, (...) low-risk experimentation with alternative institutional designs, this approach could significantly accelerate democratic innovation. I examine the potential of GenAI-assisted research to mitigate current limitations in democratic experimentation, including the ability to simulate large-scale societal interactions and test complex institutional mechanisms. While acknowledging potential risks such as algorithmic bias, reproducibility challenges, and AI alignment issues, I argue that the benefits of synthetic data are likely to outweigh their drawbacks if implemented with proper caution. To address existing challenges, I propose a range of technical, methodological, and institutional adaptations. The paper concludes with a call for interdisciplinary collaboration in the development and implementation of GenAI-assisted methods in democracy research, highlighting their potential to bridge the gap between democratic theory and practice in an era of rapid technological change. (shrink)

Despite an increasing role of machine learning in science, there is a lack of results on limits of empirical exploration aided by machine learning. In this paper, we construct one such limit by proving undecidability of learnability of state spaces of physical systems. We characterize state spaces as binary hypothesis classes of the computable Probably Approximately Correct learning framework. This leads to identifying the first limit for learnability of state spaces in the agnostic setting. Further, using the fact that finiteness (...) of the combinatorial dimension of hypothesis classes is undecidable, we derive undecidability for learnability of state spaces as well. Throughout the paper, we try to connect our formal results with modern neural networks. This allows us to bring the limits close to the current practice and make a first step in connecting scientific exploration aided by machine learning with results from learning theory. (shrink)

According to expressivists, normative language expresses desire‐like states of mind. According to noncognitivists, normative beliefs have a desire‐like functional role. What is the relation between these two doctrines? It is widely assumed that expressivism commits you to noncognitivism, and vice versa. This paper opposes that assumption. I advance a view that combines a noncognitivist psychology with a descriptivist semantics for normative language. While this might seem like an ungainly hybrid, I argue that it has important advantages over more familiar metaethical (...) positions. The noncognitivist aspect of the theory captures all of the explanatory benefits standardly associated with expressivism. At the same time, the descriptivist element allows us to avoid the semantic headaches for expressivism. (shrink)

According to a rich tradition in philosophy of action, intentional action requires practical knowledge: someone who acts intentionally knows what they are doing while they are doing it. Piñeros Glasscock argues that an anti-luminosity argument, of the sort developed in Williamson, can be readily adapted to provide a reductio of an epistemic condition on intentional action. This paper undertakes a rescue mission on behalf of an epistemic condition on intentional action. We formulate and defend a version of an epistemic condition (...) that is free from any luminosity commitments. While this version of an epistemic condition escapes reductio, it comes with substantive commitments of its own. In particular, we will see that it forces us to deny the existence of any essentially intentional actions. We go on to argue that this consequence should be embraced. On the resulting picture, intentional action is not luminous. But it still entails practical knowledge. (shrink)

Relativism and expressivism offer two different semantic frameworks for grappling with a similar cluster of issues. What is the difference between these two frameworks? Should they be viewed as rivals? If so, how should we choose between them? This chapter sheds light on these questions. After providing an overview of relativism and expressivism, I discuss three potential choice points: their relation to truth conditional semantics, their pictures of belief and communication, and their explanations of disagreement.

Why engage in inquiry? According to many philosophers, the goal of inquiring into some question is to come to know its answer. While this view holds considerable appeal, this paper argues that it stands in tension with another highly attractive thesis: knowledge does not require absolute certainty. Forced to choose between these two theses, I argue that we should reject the idea that inquiry aims at knowledge. I go on to develop an alternative view, according to which inquiry aims at (...) maximizing the epistemic value of our credences. This alternative view makes room for knowledge that falls shy of certainty, and it coheres nicely with a rich body of work in epistemic decision theory. I proceed to highlight the implications of this replacement for some important topics in epistemology, including the dogmatism paradox, the nature of interrogative attitudes, and the norm of practical reasoning. (shrink)

This essay defends a novel form of virtue epistemology: Modal Virtue Epistemology. It borrows from traditional virtue epistemology the idea that knowledge is a type of skillful performance. But it goes on to understand skillfulness in purely modal terms — that is, in terms of success across a range of counterfactual scenarios. We argue that this approach offers a promising way of synthesizing virtue epistemology with a modal account of knowledge, according to which knowledge is safe belief. In particular, we (...) argue that the modal elements of the view offer important advantages over traditional virtue epistemology, which assigns a central explanatory role to aptness. At the same time, the virtue epistemological elements of the theory reveal new avenues for overcoming obstacles to traditional modal accounts of knowledge. Finally, we highlight the advantages of Modal Virtue Epistemology over alternative syntheses, such as Pritchard's (2012) hybrid approach. (shrink)

This paper argues that we should assign certainty a central place in epistemology. While epistemic certainty played an important role in the history of epistemology, recent epistemology has tended to dismiss certainty as an unattainable ideal, focusing its attention on knowledge instead. I argue that this is a mistake. Attending to certainty attributions in the wild suggests that much of our everyday knowledge qualifies, in appropriate contexts, as certain. After developing a semantics for certainty ascriptions, I put certainty to explanatory (...) work. Specifically, I argue that by taking certainty as our central epistemic notion, we can shed light on a variety of important topics, including evidence and evidential probability, epistemic modals, and the normative constraints on credence and assertion. (shrink)

The past decade has seen a protracted debate over the semantics of epistemic modals. According to contextualists, epistemic modals quantify over the possibilities compatible with some contextually determined group’s information. Relativists often object that contextualism fails to do justice to the way we assess utterances containing epistemic modals for truth or falsity. However, recent empirical work seems to cast doubt on the relativist’s claim, suggesting that ordinary speakers’ judgments about epistemic modals are more closely in line with contextualism than relativism (...) (Knobe & Yalcin 2014; Khoo 2015). This paper furthers the debate by reporting new empirical research revealing a previously overlooked dimension of speakers’ truth-value judgments concerning epistemic modals. Our results show that these judgments vary systematically with the question under discussion in the conversational context in which the utterance is being assessed. We argue that this ‘QUD effect’ is difficult to explain if contextualism is true, but is readily explained by a suitably flexible form of relativism. (shrink)

When is it permissible to rely on a proposition in practical reasoning? Standard answers to this question face serious challenges. This paper uses these challenges to motivate a certainty norm of practical reasoning. This norm holds that one is permitted to rely on p in practical reasoning if and only if p is epistemically certain. After developing and defending this norm, I consider its broader implications. Taking a certainty norm seriously calls into question traditional assumptions about the importance of belief (...) and knowledge. In particular, it raises the possibility that many epistemological jobs that are usually assigned to belief and knowledge should be reallocated to two related but importantly different states: psychological and epistemic certainty. (shrink)

This paper develops a question-sensitive theory of intention. We show that this theory explains some puzzling closure properties of intention. In particular, it can be used to explain why one is rationally required to intend the means to one’s ends, even though one is not rationally required to intend all the foreseen consequences of one’s intended actions. It also explains why rational intention is not always closed under logical implication, and why one can only intend outcomes that one believes to (...) be under one’s control. (shrink)

This book is an introduction to The Metaphysicist, the second Information Philosopher website, a work in progress on some classical questions in philosophy that 20th-century logical positivists and analytic language philosophers dis-solved as pseudo-problems. -/- The Metaphysicist analyzes the information content in twenty classic problems in metaphysics - Abstract Entities, Being and Becoming, Causality, Chance, Change, Coinciding Objects, Composition (Parts and Wholes), Constitution, Free Will or Determinism, God and Immortality, Identity, Individuation, Mind-Body Problem, Modality, Necessity or Contingency, Persistence, Possibility and (...) Actuality, Space and Time, Truth, Universals, Vagueness, and the 20th-century problem of WaveParticle Duality. -/- The Metaphysicist also includes pages on the classic paradoxes and puzzles used for millennia to wrestle with these metaphysical problems The Debtor’s Paradox, Dion and Theon, The Growing Argument, The Infinite Regress, The Problem of the Many, The Ship of Theseus, The Sorites Puzzle, The Statue and the Clay, and Tibbles, the Cat. -/- Information philosophy is a new philosophical methodology that goes “beyond logic and language” to the underlying information structures in the cosmos, in the world, in biological systems, and in the human mind - structures without which logic, language, and science would be impossible. (shrink)

Consider a set of shuffled observations drawn from a fixed probability distribution over some instance domain. What enables learning of inductive generalizations which proceed from such a set of observations? The scenario is worthwhile because it epistemically characterizes most of machine learning. This kind of learning from observations is also inverse and ill-posed. What reduces the non-uniqueness of its result and, thus, its problematic epistemic justification, which stems from a one-to-many relation between the observations and many learnable generalizations? The paper (...) argues that this role belongs to any complexity regularization which satisfies Norton’s Material Theory of Induction (MTI) by localizing the inductive risk to facts in the given domain. A prime example of the localization is the Lottery Ticket Hypothesis (LTH) about overparameterized neural networks. The explanation of MTI’s role in complexity regularization of neural networks is provided by analyzing the stability of Empirical Risk Minimization (ERM), an inductive rule that controls the learning process and leads to an inductive generalization on the given set of observations. In cases where ERM might become asymptotically unstable, making the justification of the generalization by uniform convergence unavailable, LTH and MTI can be used to define a local stability. A priori, overparameterized neural networks are such cases and the combination of LTH and MTI can block ERM’s trivialization caused by equalizing the strengths of its inductive support for risk minimization. We bring closer the investigation of generalization in artificial neural networks and the study of inductive inference and show the division of labor between MTI and the optimality justifications (developed by Gerhard Schurz) in machine learning. (shrink)

We know that animals are harmed in plant production. Unfortunately, though, we know very little about the scale of the problem. This matters for two reasons. First, we can’t decide how many resources to devote to the problem without a better sense of its scope. Second, this information shortage throws a wrench in arguments for veganism, since it’s always possible that a diet that contains animal products is complicit in fewer deaths than a diet that avoids them. In this paper, (...) then, we have two aims: first, we want to collect and analyze all the available information about animal death associated with plant agriculture; second, we try to show just how difficult it’s to come up with a plausible estimate of how many animals are killed by plant agriculture, and not just because of a lack of empirical information. Additionally, we show that there are significant philosophical questions associated with interpreting the available data—questions such that different answers generate dramatically different estimates of the scope of the problem. Finally, we document current trends in plant agriculture that cause little or no collateral harm to animals, trends which suggest that field animal deaths are a historically contingent problem that in future may be reduced or eliminated altogether. (shrink)

According to many philosophers, belief is a settling state. On this view, someone who believes p is disposed to take p for granted in practical and theoretical reasoning. This paper presents a simple objection to this settling conception of belief: it conflicts with our ordinary patterns of belief ascription. I show that ascriptions of unsettled beliefs are commonplace, and that they pose problems for all of the most promising ways of developing the settling conception. I proceed to explore the implications (...) of my argument for the relation between belief and credence, and for the relative importance of belief in psychological explanation. (shrink)

This paper develops a new challenge for moral noncognitivism. In brief, the challenge is this: Beliefs — both moral and non-moral — are epistemically evaluable, whereas desires are not. It is tempting to explain this difference in terms of differences in the functional roles of beliefs and desires. However, this explanation stands in tension with noncognitivism, which maintains that moral beliefs have a desire-like functional role. After critically reviewing some initial responses to the challenge, I suggest a solution, which involves (...) rethinking the functional relationship between desire and belief. (shrink)

In the future, when we compare the welfare of a being of one substrate (say, a human) with the welfare of another (say, an artificial intelligence system), we will be making an intersubstrate welfare comparison. In this paper, we argue that intersubstrate welfare comparisons are important, difficult, and potentially tractable. The world might soon contain a vast number of sentient or otherwise significant beings of different substrates, and moral agents will need to be able to compare their welfare levels. However, (...) this work will be difficult, because we lack the same kinds of commonalities across substrates that we have within them. Fortunately, we might be able to make at least some intersubstrate welfare comparisons responsibly in spite of these issues. We make the case for cautious optimism and call for more research. (shrink)

We often claim to know what might be—or probably is—the case. Modal knowledge along these lines creates a puzzle for information-sensitive semantics for epistemic modals. This paper develops a solution. We start with the idea that knowledge requires safe belief: a belief amounts to knowledge only if it could not easily have been held falsely. We then develop an interpretation of the modal operator in safety that allows it to non-trivially embed information-sensitive contents. The resulting theory avoids various paradoxes that (...) arise from other accounts of modal knowledge. It also delivers plausible predictions about modal Gettier cases. (shrink)

Could the employment of large language models (LLMs) in place of human advisors improve the problem-solving ability of democratic assemblies? LLMs represent the most significant recent incarnation of artificial intelligence and could change the future of democratic governance. This paper assesses their potential to serve as expert advisors to democratic representatives. While LLMs promise enhanced expertise availability and accessibility, they also present specific challenges. These include hallucinations, misalignment and value imposition. After weighing LLMs’ benefits and drawbacks against human advisors, I (...) argue that time-tested democratic procedures, such as deliberation and aggregation by voting, provide safeguards that are effective against human and machine advisor shortcomings alike. Additional protective measures may include custom training for advisor LLMs or boosting representatives’ competencies in query formulation. Implementation of adversarial proceedings in which LLM advisors would debate each other and provide dissenting opinions is likely to yield further epistemic benefits. Overall, promising interventions that would mitigate the LLM risks appear feasible. Machine advisors could thus empower human decision-makers to make more autonomous, higher-quality decisions. On this basis, I defend the hypothesis that LLMs’ careful integration into policymaking could augment democracy’s ability to address today’s complex social problems. (shrink)

Quasi-realists face the challenge of providing a plausible analysis of acknowledgments of moral fallibility. This paper devel...

What is it to believe something might be the case? We develop a puzzle that creates difficulties for standard answers to this question. We go on to propose our own solution, which integrates a Bayesian approach to belief with a dynamic semantics for epistemic modals. After showing how our account solves the puzzle, we explore a surprising consequence: virtually all of our beliefs about what might be the case provide counterexamples to the view that rational belief is closed under logical (...) implication. (shrink)

The article explores novel directions in the phenomenology of economics. It analyzes how the approaches of Till Düppe and Alfred Schütz, both inspired by Edmund Husserl, may shed light on the historical development of economics. I examine the substance and meaning of economics in the context of the forceful criticism of the whole discipline recently raised by Düppe. This examination uncovers important weaknesses and omissions inherent in Düppe’s argument against the economists’ scientific aspirations. The analysis of the social scientific endeavors (...) by Alfred Schütz who develops a phenomenologically informed ‘telescopic’ concept of an ideal type is then shown to be a more fruitful and methodologically rigorous way towards understanding the developments within economics. The Schützian view permits us to see how abstract economic models originate in the experience of the life-world and are continuous with it. Accordingly, the historical development of economic science may be viewed as consisting from two broadly defined phases, where at first the formalism is steadily increasing (the ‘zooming out’ phase) and later the discipline converges back to context-specific empirical examinations (the ‘zooming in’ phase). A case study concentrating on the economic theory of politics illustrates that both the drive towards abstraction that has culminated around 1950s and the more recent ‘zooming in’ is methodologically legitimate from the phenomenological point of view. I conclude that economics has never been completely severed from the paramount reality of the everyday life and for decades the interconnection has been growing stronger by the day. (shrink)

One attractive feature of process reliabilism is its reductive potential: it promises to explain justification in entirely non-epistemic terms. In this paper, I argue that the phenomenon of epistemic defeat poses a serious challenge for process reliabilism’s reductive ambitions. The standard process reliabilist analysis of defeat is the ‘Alternative Reliable Process Account’ (ARP). According to ARP, whether S’s belief is defeated depends on whether S has certain reliable processes available to her which, if they had been used, would have resulted (...) in S not holding the belief in question. Unfortunately, ARP proves untenable. I show, by way of counterexample, that ARP fails to articulate either necessary or sufficient conditions on defeat. Process reliabilists must either provide an alternative reductive account of defeat or renounce their reductive aspirations. (shrink)

Are all epistemic notions – including evidence and rational credence – sensitive to practical considerations? A number of philosophers have argued that the answer must be ‘No’, since otherwise rational agents would be susceptible to diachronic Dutch books. After unpacking this challenge, I show how it can be resisted by appealing to an analogy between shifting stakes and memory loss. The upshot: pervasive epistemic shiftiness may be tenable after all.

We ask how to use machine learning to expand observability, which presently depends on human learning that informs conceivability. The issue is engaged by considering the question of correspondence between conceived observability counterfactuals and observable, yet so far unobserved or unconceived, states of affairs. A possible answer lies in importing out of reference frame content which could provide means for conceiving further observability counterfactuals. They allow us to define high-fidelity observability, increasing the level of correspondence in question. To achieve high-fidelity (...) observability, we propose to use generative machine learning models as the providers of the out of reference frame content. From an applied point of view, such a role of generative machine learning models shows an emerging dimension of human-machine cooperation. (shrink)

As our epistemic ambitions grow, the common and scientific endeavours are becoming increasingly dependent on Machine Learning (ML). The field rests on a single experimental paradigm, which consists of splitting the available data into a training and testing set and using the latter to measure how well the trained ML model generalises to unseen samples. If the model reaches acceptable accuracy, an a posteriori contract comes into effect between humans and the model, supposedly allowing its deployment to target environments. Yet (...) the latter part of the contract depends on human inductive predictions or generalisations, which infer a uniformity between the trained ML model and the targets. The paper asks how we justify the contract between human and machine learning. It is argued that the justification becomes a pressing issue when we use ML to reach ‘elsewheres’ in space and time or deploy ML models in non-benign environments. The paper argues that the only viable version of the contract can be based on optimality (instead of on reliability which cannot be justified without circularity) and aligns this position with Schurz’s optimality justification. It is shown that when dealing with inaccessible/unstable ground-truths (‘elsewheres’ and non-benign targets), the optimality justification undergoes a slight change, which should reflect critically on our epistemic ambitions. Therefore, the study of ML robustness should involve not only heuristics that lead to acceptable accuracies on testing sets. The justification of human inductive predictions or generalisations about the uniformity between ML models and targets should be included as well. Without it, the assumptions about inductive risk minimisation in ML are not addressed in full. (shrink)

The paper proposes a synthesis between human scientists and artificial representation learning models as a way of augmenting epistemic warrants of realist theories against various anti-realist attempts. Towards this end, the paper fleshes out unconceived alternatives not as a critique of scientific realism but rather a reinforcement, as it rejects the retrospective interpretations of scientific progress, which brought about the problem of alternatives in the first place. By utilising adversarial machine learning, the synthesis explores possibility spaces of available evidence for (...) unconceived alternatives providing modal knowledge of what is possible therein. As a result, the epistemic warrant of synthesised realist theories should emerge bolstered as the underdetermination by available evidence gets reduced. While shifting the realist commitment away from theoretical artefacts towards modalities of the possibility spaces, the synthesis comes out as a kind of perspectival modelling. (shrink)

One leading approach to justification comes from the reliabilist tradition, which maintains that a belief is justified provided that it is reliably formed. Another comes from the ‘Reasons First’ tradition, which claims that a belief is justified provided that it is based on reasons that support it. These two approaches are typically developed in isolation from each other; this essay motivates and defends a synthesis. On the view proposed here, justification is understood in terms of an agent’s reasons for belief, (...) which are in turn analyzed along reliabilist lines: an agent's reasons for belief are the states that serve as inputs to their reliable processes. I show that this synthesis allows each tradition to profit from the other's explanatory resources. In particular, it enables reliabilists to explain epistemic defeat without abandoning their naturalistic ambitions. I go on to compare my proposed synthesis with other hybrid versions of reliabilism that have been proposed in the literature. (shrink)

“I promise to mow your lawn, but I don’t know whether I will.” Call promises of this form, “Moorean”, based on their resemblance to Moore’s paradox. Moorean promises sound absurd. But why? In the literature on assertion, many have used Moore’s paradox to motivate a knowledge norm of assertion. I put forward an analogous norm on promising, according to which one should only make a promise if one knows one will fulfill it. A knowledge norm explains why Moorean promises are (...) absurd; it accounts for a variety of linguistic data; and it sheds light on how promises generate obligations. (shrink)

Procedural justifications of democracy emphasize inclusiveness and respect and by doing so come into conflict with instrumental justifications that depend on voters’ competence. This conflict raises questions about jury theorems and makes their standing in democratic theory contested. We show that a type of no-regret learning called meta-induction can help to satisfy the competence assumption without excluding voters or diverse opinion leaders on an a priori basis. Meta-induction assigns weights to opinion leaders based on their past predictive performance to determine (...) the level of their inclusion in recommendations for voters. The weighting minimizes the difference between the performance of meta-induction and the best opinion leader in hindsight. The difference represents the regret of meta-induction whose minimization ensures that the recommendations are optimal in supporting voters’ competence. Meta-induction has optimal truth-tracking properties that support voters’ competence even if it is targeted by mis/disinformation and should be considered a tool for supporting democracy in hyper-plurality. (shrink)

According to noncognitivism, normative beliefs are just desire-like attitudes. While noncognitivists have devoted great effort to explaining the nature of normative belief, they have said little about all of the other attitudes we take towards normative matters. Many of us desire to do the right thing. We sometimes wonder whether our conduct is morally permissible; we hope that it is, and occasionally fear that it is not. This gives rise to what Schroeder calls the 'Many Attitudes Problem': the problem of (...) developing a plausible noncognitivist account of the full range of attitudes that we take towards normative matters. This paper explores the problem and proposes a solution. (shrink)

Philosophical Perspectives, Volume 35, Issue 1, Page 23-49, December 2021.

According to the dogmatist, knowing p makes it rational to disregard future evidence against p. The standard response to the dogmatist holds that knowledge is defeasible: acquiring evidence against something you know undermines your knowledge. However, this response leaves a residual puzzle, according to which knowledge makes it rational to intend to disregard future counterevidence. I argue that we can resolve this residual puzzle by turning to an unlikely source: Kavka’s toxin puzzle. One lesson of the toxin puzzle is that (...) it is irrational to intend to do that which you know will be irrational. This yields a simple reply to the dogmatist: it is irrational to intend to disregard future evidence because you can know in advance that it will be irrational to do so. (shrink)

Do people fall for online disinformation, or do they actively utilize it as a tool to accomplish their goals? Currently, the notion of the members of the public as victims of deception and manipulation prevails in the debate. It emphasizes the need to limit people’s exposure to falsehoods and bolster their deficient reasoning faculties. However, the observed epistemic irrationality can also stem from politically motivated reasoning incentivized by digital platforms. In this context, the readily available disinformation facilitates an arms race (...) in loyalty signaling via a public endorsement of fanciful partisan claims. Such a signaling arms race appears capable of derailing democratic decision-making perhaps more effectively than any known reasoning deficiency. Appreciating the role of an instrumentally rational cost-benefit calculus in triggering the disinformation crisis thus appears vital. Examining these themes, the paper contributes to the current debates in political epistemology and democratic theory. (shrink)

Krize spojená s příchodem pandemie koronaviru ukázala, že užitečné expertní vědění sice podle všeho existuje, ale ne každému, kdo se představí jako expert, bychom měli věřit. Slovy doktora House: „Všichni lžou.“ Lžou i odborníci. Kapitola se zaměřuje na situace, kdy odborník lže takříkajíc „s dobrým úmyslem,“ neboť se domnívá, že pravda by veřejnost vedla k chování, které není společensky žádoucí. V takovém případě se jedná o lhaní paternalistické, protože má ochránit veřejnost před ní samotnou. Ukážeme příklady, kdy k němu dochází, (...) a pokusíme se i odhadnout, jak dobře takový pokus o manipulaci veřejnosti funguje krátkodobě i dlouhodobě. Protože výsledky našeho rozboru nenaznačují, že by dobročinné lhaní odborníků bylo skutečně společensky prospěšné, pobavíme se také o tom, proč by se mu člověk v roli experta měl raději vyhnout. (shrink)

[In Czech] This article aims to explain how Merleau-Ponty’s phenomenological account of embodiment contributes to the theory and practice of physiotherapy. The mechanistic conception of the body, to which physiotherapy usually refers, assumes a universal model of its functioning and interprets its relationship to the environment causally. In fact, however, it does not allow a satisfactory explanation of the efficiency of the therapeutic methods used in practice. In contrast, Merleau-Ponty’s concept of motor intentionality points to the fact that the body (...) “understands” the practical meaning of a situation. Bodily understanding is then manifested in particular by the ability to adequately differentiate, adapt or vary motor and postural responses to environmental challenges. This change in the conception of embodiment also has important implications for understanding the therapist-patient relationship and the intervention itself. Physiotherapists should draw more on the fact that they are themselves a body and, on this basis, guide the patient’s bodily intentionality towards a more developed understanding of the practical meaning of situations. (shrink)

According to deontological approaches to justification, we can analyze justification in deontic terms. In this paper, I try to advance the discussion of deontological approaches by applying recent insights in the semantics of deontic modals. Specifically, I use the distinction between weak necessity modals and strong necessity modals to make progress on a question that has received surprisingly little discussion in the literature, namely: ‘What’s the best version of a deontological approach?’ The two most obvious hypotheses are the Permissive View, (...) according to which justified expresses permission, and the Obligatory View, according to which justified expresses some species of obligation. I raise difficulties for both of these hypotheses. In light of these difficulties, I propose a new position, according to which justified expresses a property I call faultlessness, defined as the dual of weak necessity modals. According to this view, an agent is justified in phi-ing iff it’s not the case that she should [/ought] not phi. I argue that this ‘Faultlessness View’ gives us precisely what’s needed to avoid the problems facing the Permissive and Obligatory Views. (shrink)

Studie ukazuje kontrast mezi ekonomickým přístupem jdoucím ve šlépějích Garyho Beckera a přístupem behaviorální ekonomie. Důraz je kladen na metodologické srovnání obou alternativ a vyhodnocení potenciálu, který má behaviorální ekonomie pro uskutečnění paradigmatické změny na půdě ekonomického myšlení. Ukazuji, že behaviorální ekonomii se dosud nepodařilo nabídnout teoretickou alternativu homo economicus. Také její potenciál pro dlouhodobé překonání teorie racionální volby v oblasti predikčního úspěchu, který je pro ekonomy standardním kritériem vyhodnocování teorií, může být omezený.

The environmental costs and energy constraints have become emerging issues for the future development of Machine Learning (ML) and Artificial Intelligence (AI). So far, the discussion on environmental impacts of ML/AI lacks a perspective reaching beyond quantitative measurements of the energy-related research costs. Building on the foundations laid down by Schwartz et al., 2019 in the GreenAI initiative, our argument considers two interlinked phenomena, the gratuitous generalisation capability and the future where ML/AI performs the majority of quantifiable inductive inferences. The (...) gratuitous generalisation capability refers to a discrepancy between the cognitive demands of a task to be accomplished and the performance (accuracy) of a used ML/AI model. If the latter exceeds the former because the model was optimised to achieve the best possible accuracy, it becomes inefficient and its operation harmful to the environment. The future dominated by the non-anthropic induction describes a use of ML/AI so all-pervasive that most of the inductive inferences become furnished by ML/AI generalisations. The paper argues that the present debate deserves an expansion connecting the environmental costs of research and ineffective ML/AI uses (the issue of gratuitous generalisation capability) with the (near) future marked by the all-pervasive Human-Artificial Intelligence Nexus. (shrink)

Faik Kurtulmuş’s exploration of the epistemic basic structure (EBS) invites us to think about the generation, dissemination, and absorption of knowledge in a society, emphasizing the role of institutions in determining epistemic outcomes. Moreover, Kurtulmuş—in joint work with Gürol Irzık—offers a normative take on the EBS from the viewpoint of the theory of justice and does not shy away from drawing specific policy recommendations. Thus, a powerful, innovative concept is used to extend an influential theory and draw out its practical (...) implications. What more is there to wish for? A project of such ambition inevitably faces serious challenges. I address the issue of the alignment between the ideal and non-ideal elements of Kurtulmuş’s theory with an eye toward the practicalities of social reform. My central claim is that the philosophers striving to promote distributive epistemic justice need to think carefully about whom they intend to address with their proposals and how to persuade such addressees. I also maintain that emphasis on a holistic approach to social reform represents a major hindrance to its pragmatic success. (shrink)

Objectivity, as one of the key attributes of science, has become an indispensable part of its ethos and a central theme of the philosophy of science. As such, it has been a subject of philosophical reflection by a number of authors. In our project – in which both philosophers of science and scientists participate – we examine the concept of objectivity in the natural sciences with the tools of experimental philosophy. We aim to identify specific operational dimensions of objectivity, those (...) with which current scientist actually work, thus making them accessible for further theoretical analysis and research. In this text, we present results from the first, qualitative phase of our research based on in-depth interviews and focus groups with scientists working in the Czech Republic. Further, we confront this empirical data with theoretical notions of objectivity. We also present other findings from the research and formulate hypotheses for the research’s subsequent phases. (shrink)

Since the early 20th century underdetermination has been one of the most contentious problems in the philosophy of science. In this article I relate the underdetermination problem to models in biology and defend two main lines of argument: First, the use of models in this discipline lends strong support to the underdetermination thesis. Second, models and theories in biology are not determined strictly by the logic of representation of the studied phenomena, but also by other constraints such as research traditions, (...) backgrounds of the scientists, aims of the research and available technology. Convincing evidence for the existence of underdetermination in biology, where models abound, comes both from the fact that for a natural phenomenon we can create a number of candidate models but also from the fact that we do not have a universal rule that would adjudicate among them. This all makes a strong case for the general validity of underdetermination thesis. (shrink)

Studie poukazuje na tři základní slabiny současného českého diskurzu o kolapsech komplexních společností, jehož předním mluvčím se stal egyptolog Miroslav Bárta. Zaprvé nedošlo k vyrovnání s absencí vědeckého konsenzu ohledně determinantů historického vývoje a teorii, která by poskytla jednotící rámec pro zařazení a interpretaci konkrétních prediktorů kolapsu, byla věnována jen minimální pozornost. Zadruhé nebyla podána jasná odpověď na otázku, která společenská struktura je při studiu kolapsu vlastně předmětem zkoumání, přestože se volné přechody mezi rovinami kultur, států a civilizací nejeví z (...) analytického hlediska možné. Zatřetí se řada navržených prediktorů kolapsu ukazuje už při zběžném ohledání jako zásadně problematická. Studie dochází k závěru, že současný stav poznání problematiky kolapsů komplexních společností neospravedlňuje vyslovování žádných vědecky podložených predikcí, které by mohly být zdrojem pragmatické legitimizace pro společenské a humanitní vědy. (shrink)

I examine mystical experience through the history of European religious thought, its modern state, and different spiritual practices of the Patristic epoch. The survey gives some definitions: mystical experience is situated in the field of spirituality along with practices of its acquisition -- ascetics; and the fruits of it -- theology and doctrine. The second part of the article is devoted to a wide field of Christian texts as a representative example of the same experience of the crystallization of mystical (...) experience in ancient tradition, providing a few general types. Reading of religious texts is related very closely with the spiritual condition of the reader and supposes that he/she changes radically in the process of reading, being involved in some existential-hermeneutic circle. (shrink)

The study analyzes Mises‘s approach to the question of apriorism in a broader methodological context. It shows that it is not inevitable to advocate the aprioristic character of economics (resp. science of human action), as Mises does, to maintain the subjectivist-individualist methodology and the effort to adequately grasp the general laws of human action from its perspective. The present redefinition of apriorism is developed on the basis of thoughts of Barry Smith and Alfred Schutz. It suggests abandoning the apodictic character (...) of apriori (which is untenable) and move closer to a broadly defined empiricism. The methodological insights developed in the paper are finally used to contribute to the debate between the behavioral economists and the proponents of rational choice theory. (shrink)

According to Peter Harrison's book The Bible, Protestantism and the Rise of Natural Science modern science came into existence as a result of the emphasis of Protestants on the literal sense of the Scripture, their refusal of the earlier symbolic or allegorical interpretation, and their efforts at fixing the meaning of the biblical text in which each passage was to be ascribed a single and unique meaning. This article tries to summarize the most significant critiques of Harrison's hypothesis and to (...) acknowledge their legitimacy. However, the alternative explanation of the emergence of modern science as a result of disputes over the biblical interpretation and the subsequent discovery of the ambiguous character of the ordinary verbal language is not fully satisfactory either. (shrink)

Democracy in its currently dominant liberal form has proven supportive of unprecedented human flourishing. However, it also appears increasingly plagued by political polarization, strained to cope with the digitalization of the political discourse, and threatened by authoritarian backlash. A growing sense of the anthropic risks—with runaway climate change as the leading example—thus often elicits concern regarding democracy’s capability of mitigating them. Apparently, lacking a sufficient degree of the citizens’ consensus on the priority issues of the day, it can find itself (...) unable to muster the resolve and resources necessary to alter its “business as usual” path even where disasters loom ever larger in its track. Against these concerns, I argue that democracy’s potential remains far from depleted. While political irrationality needs to be considered a major obstacle to successfully managing the anthropic risks, many existing reform proposals appear capable of reining it in. My main suggestion is to seek ways to facilitate a speedier and more effective exploration of the landscape of the possible democratic mechanisms of collective choice. A virtual platform to support such an exploration—which I call ‘democracy’s digital playground’—may allow us to find innovative ways of managing anthropic risks without compromising our commitment to democratic values. (shrink)