So-called “traditional epistemology” and “Bayesian epistemology” share a word, but it may often seem that the enterprises hardly share a subject matter. They differ in their central concepts. They differ in their main concerns. They differ in their main theoretical moves. And they often differ in their methodology. However, in the last decade or so, there have been a number of attempts to build bridges between the two epistemologies. Indeed, many would say that there is just one branch of philosophy (...) here—epistemology. There is a common subject matter after all. In this paper, we begin by playing the role of a “bad cop,” emphasizing many apparent points of disconnection, and even conflict, between the approaches to epistemology. We then switch role, playing a “good cop” who insists that the approaches are engaged in common projects after all. We look at various ways in which the gaps between them have been bridged, and we consider the prospects for bridging them further. We conclude that this is an exciting time for epistemology, as the two traditions can learn, and have started learning, from each other. (shrink)

Pascal’s Wager involves expected utilities. In this chapter, we examine the Wager in light of two main features of expected utility theory: utilities and probabilities. We discuss infinite and finite utilities, and zero, infinitesimal, extremely low, imprecise, and undefined probabilities. These have all come up in recent literature regarding Pascal’s Wager. We consider the problems each creates and suggest prospects for the Wager in light of these problems.

I argue that most counterfactuals are false.

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)

Bayesianism is our leading theory of uncertainty. Epistemology is defined as the theory of knowledge. So “Bayesian Epistemology” may sound like an oxymoron. Bayesianism, after all, studies the properties and dynamics of degrees of belief, understood to be probabilities. Traditional epistemology, on the other hand, places the singularly non-probabilistic notion of knowledge at centre stage, and to the extent that it traffics in belief, that notion does not come in degrees. So how can there be a Bayesian epistemology?

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

The paper deals with von Mises’ metaphysics and argues that his methodological dualism concerns only his epistemology. The framework of Mises´s ontology is materialistic monism. Although Mises strongly criticizes materialism, his critique does not concern metaphysical ontological materialism as long as it does not try to eliminate the specific method of the social sciences. In this sense Mises’ metaphysics is fully naturalistic – it does not include any “spiritual” agents and postulates a world consisting exclusively of elementary physical particles. The (...) study illustrates this point on Mises’ determinism and his rejection of the free will as well as on his Darwinian account of the evolution of human mind. The specific method of the social sciences which makes use of the category of finality serves merely as an efficient heuristics and is based on a pragmatic view of science. It allows us to describe the irreducible complexity of social phenomena that cannot (at least not yet) be grasped by the physicalist vocabulary alone. Thus the argument of complexity is seen as a cornerstone of Misesian methodological dualism. (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)

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)

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)

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.

[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)

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)

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)

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)

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)

Technology offers unique sets of opportunities, from human flourishing to civilization survival, but also challenges, from partial misuse to global apocalypse. Yet technology is shaped by the social environment in which it is developed and used, prompting questions about its desirable governance format. In this context, we look at governance challenges of large technical systems, specifically the peaceful use of high-power lasers in space, in order to propose a conceptual framework for legitimate global governance. Specifically, we adopt a context-based approach (...) to legitimacy to address the trade-offs between effectiveness (output legitimacy) and inclusivity (input legitimacy) in the governance of large technical systems. We show that distinguishing two basic phases of space laser policy which call for different legitimacy criteria helps balance out the trade-offs without sacrificing either effectiveness or inclusivity. Finally, we construe LTSs’ governance as a tool for creating globally networked spaces which may enable coordinated global democratic governance. (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)

This study clarifies the need for a renewed account of the body in physiotherapy to fill sizable gaps between physiotherapeutical theory and practice. Physiotherapists are trained to approach bodily functioning from an objectivist perspective; however, their therapeutic interactions with patients are not limited to the provision of natural-scientific explanations. Physiotherapists’ practice corresponds well to theorisation of the body as the bearer of original bodily intentionality, as outlined by Merleau-Ponty and elaborated upon by enactivists. We clarify how physiotherapeutical practice corroborates Merleau-Ponty’s (...) critical arguments against objectivist interpretations of the body; particularly, his analyses demonstrate that norms of optimal corporeal functioning are highly individual and variable in time and thus do not directly depend on generic physiological structures. In practice, objectively measurable physical deviations rarely correspond to specific subjective difficulties and, similarly, patients’ reflective insights into their own motor deficiencies do not necessarily produce meaningful motor improvements. Physiotherapeutical procedures can be understood neither as mechanical manipulations of patients’ machine-like bodies by experts nor as a process of such manipulation by way of instructing patients’ explicit conscious awareness. Rather, physiotherapeutical practice and theory can benefit from the philosophical interpretation of motor disorders as modifications of bodily intentionality. Consequently, motor performances addressed in physiotherapy are interpreted as relational features of a living organism coupled with its environment, and motor disorders are approached as failures to optimally manage the motor requirements of a given situation owing to a relative loss of the capacity to structure one’s relation with their environment through motor action. Building on this, we argue that the process of physiotherapy is most effective when understood as a bodily interaction to guide patients towards discovering better ways of grasping a situation as meaningful through bodily postures and movements. (shrink)

Whatever its grammatical status, the verb “to discern” has an implicit transitive element. That is to say, we always discern about something or between two options. What is the right course of action in this situation and in these circumstances? In our paper, we want to look at responses to this question from the perspective of the theology of liberation. As the name implies, this is first and foremost a theology, a way of seeking to understand and articulate the faith (...) of the believing Christian community. But it is also necessarily political, because it seeks to contribute to the liberation of those who are not free – the poor, the oppressed, those to whom injustice is done, both negatively, by decrying the presence of unfreedom and positively by working for social transformation. It is thus a public theology, a manifestation of the ongoing power of religion to inform and motivate its adherents to engage in attempts to transform the world not only in terms of a post mortem future but here and now. (shrink)

Recenze: Peter HARRISON - Ronald L. NUMBERS - Michael H. SHANK Wrestling with Nature: From Omens to Science. Chicago: Univer- sity of Chicago Press 2011, 416 s.

This chapter introduces a research-based conceptual framework for the study of the inner psychosocial reality of business enterprises. It is called the Inner Organizational Ecosystem Approach (IOEA). This model is systemic in nature, and it defines the basic features of small and medium-size enterprises, such as elements, structures, borders, social actors, organizational climate, processes and resources. Further, it also covers the dynamics of psychosocial reality, processes, emergent qualities and the higher-order subsystems of the overall organizational ecosystem, including the global business (...) environment, which is understood as a macro-system where all the individual organizational ecosystems co-exist. In the applied part of the chapter, cognitive changes emerging within systemic leadership training are defined. Participation in systemic training causes changes in the cognitive processing of reality, more specifically improvements in layer-based framing, relativistic contextual orientation, temporality drift and meaning generation. All of these changes are components of the systemic mind, which is a concept newly proposed and defined by the present study. The systemic mind is a living matrix that is extremely open to acquiring new skills and new patterns of thinking, analyzing and meaning generation. It is processual and it can be considered as an ongoing process of continuous absorption of new cognitive patterns. Both the Inner Organizational Ecosystem Approach and the concept of the systemic mind provide a new theoretical background for empirical investigation in the fields of systemic and systems psychology, complexity psychology, organizational psychology, economic anthropology and the social anthropology of work. (shrink)

Review: Ippoliti, Emiliano, Sterpetti, Fabio, Nickles Thomas : Models and Inferences in Science.

Recenze: William J. DEVLIN - Alisa BOKULICH, Kuhn's Structure of Scientific Revolutions - 50 Years On. Boston Studies in the Philosophy and History of Science. Boston: Springer 2015, 199 s.

Recenze: Zdeněk VAŠÍČEK, Jak se dělají filosofie. Praha: Triáda 2012, 240 s.

The text interprets shame as a fundamental way of social-moral experience of the world. This moral emotion is then crucial for self-awareness and the constitution of relationships with others. It is in this specific bodily experience of Self and relation to others that the ambiguity of the depersonalised Self opens up. -/- .

This booklet on Active Assisted Living (AAL) technologies has been created as part of the GoodBrother COST Action, which has run from 2020 to 2024. COST Actions are European research programs that promote collaboration across borders, uniting researchers, professionals, and institutions to address key societal challenges. GoodBrother focused on ethical and privacy concerns surrounding video and audio monitoring in care settings. The aim was to ensure that while AAL technologies help older adults and vulnerable individuals, their privacy and data protection (...) rights remain a top priority. This booklet is designed to guide you through the role that AAL technologies play in improving the quality of life for older adults, caregivers, and people with disabilities. AAL technologies offer tools for those facing cognitive or physical challenges. They can enhance independence, assist with daily routines, and promote a safer living environment. However, the rise of these technologies also brings important questions about data protection and user autonomy. (shrink)

Petrus Nigri (Schwarz) se narodil západočeské Kadani (něm. Kaaden) kolem roku 1435 a spolu se svými třemi bratry vstoupil v Německu do dominikánského řádu. Během svého studia prošel velkou část Evropy (Německo, Itálii, Španělsko, Čechy a Maďarsko) a nakonec se stal rektorem generálního studia v Budíně (1481). Obecně je znám spíše jako význačný středověký hebraista. Do dějin filosofie se zapsal zvláště jako autor Clipeus thomsitarum (před r. 1474), což je filosofický komentář na Porfýriův Úvod (Isagoge) a na aristotelovské Kategorie, formou (...) otázek. Třebaže Nigriho práce není originální, představuje v zaalpských zemích významnou recepci pojetí pomyslného jsoucna (Clipeus, část I, ot. 3-4) tak, jak ho koncipoval Hervaeus Natalis († 1323) ve svém traktátu De secundis intentionisbus. -/- Petrus Nigri (Peter Schwarz, born in Kadaň/Kaaden before 1435, died in Buda 1483), is author of Clipeus thomistarum (printed 1481), a philosophical commentary on Porphyry's Introduction (Isagoge), and on Aristotle's Categories in the form of questions. While Nigri's discussion of the concept of being of reason (Clipeus thomistarum, part I, qq. 3-4) is not original, his work is important for contributing to this concept’s reception, and with it the teaching of Hervaeus Natalis (died 1323) in his treatise De secundis intentionibus, in the transalpine countries. Being of reason (ens rationis) is conceived as not a categorial being, nor is it an intellectual operation, nor is it caused, but is only identifiable by the human intellect. Nigri's being of reason has no subjective existence, but only an objective character, which differs both from categorial being and from mere nothingness. (shrink)

[What is the Human Being? Peter Auriol and the Role of Cognitive Psychology in the Medieval Definition of the Human Being: ] This paper explores how medieval philosophers used cognitive psychology in defining what the human being is, paying special attention to the Franciscan thinker Peter Auriol (c. 1280 – 1322). First, I examine the motivations of Auriol’s claim that the property of being alive is bound to the property of being cognitive (i. e. being capable of cognition). Then, the (...) foundations of medieval faculty psychology and Auriol’s conception of cognition are introduced. I also argue that the emphasis which Auriol puts on the activity of soul’s faculties leads him to the conclusion (unusual in his days) that the distinction among these faculties is established from the first person perspective. Finally, Auriol’s cognitive definition of the human being is introduced – human beings are human beings precisely because their cognitive experience differs from the way the cognition works in animals on the one hand and in God on the other hand. Whereas animals have only sensory soul’s faculties, humans have the intellect in addition and, therefore, they are capable of universal cognition. Moreover, since humans have not only intellect but also the inner senses (particularly, the phantasy), the universals appear to the human intellect only as blended with the individual that the universal was abstracted from, and the human intellect is not capable of paying attention to no more than just one object at the same moment. Since God and angels have only intellect, these distinctively human features are absent from their cognitive experience. (shrink)

[Sensation, Causality, and Attention: Roger Bacon and Peter Olivi] This paper investigates what conditions are to be met for sensory perception to occur. It introduces two diff erent theories of perception that were held by two medieval Franciscan thinkers — namely, Roger Bacon (1214/1220–1292) and Peter Olivi (ca. 1248–1298). Bacon analyses especially the causal relation between the object and the sensory organ in his doctrine of the multiplication of species. In his view, a necessary condition of perception is the reception (...) of the species in a fully disposed sensory organ. On the contrary, Olivi stresses the active role of the sensory power. A necessary condition of sensation is the aspectus — i.e. the focus of our power’s attention on the object. Furthermore, the paper investigates whether and how each of the two thinkers can deal with the arguments proposed by his opponent — namely whether Bacon’s theory is able to explain attention and what the causal role of the object in Olivi’s theory is. (shrink)

Centre and Periphery in the Historiography of Philosophy: Peter Olivi and Medieval Psychology The paper inquiries into the (historiographical) question what does it mean to be a “marginal thinker” in the context of the medieval philosophy. The question is investigated on the example of Franciscan philosopher and theologian Peter Olivi (1248/49–1298) and his philosophical psychology. First, a preliminary option is introduced: for a thinker, being “marginal” depends on his relation to who is considered to be canonical. Since the most famous (...) thinker of the Middle Ages is Thomas Aquinas (at least according to the traditional canon of medieval philosophy), Olivi’s positions in psychology are compared with these of Aquinas. It is revealed that Olivi’s psychology is very different from the Aquinas’ one. (E.g. Olivi stresses the activity of perception, proprioceptual nature of the sense of touch, and direct access of the intellect to its own acts.) Moreover, Olivi is very critical towards the Aristotelian philosophy as is done by some thinkers of his time. Nevertheless, it does not follow that Olivi is a marginal thinker only because of his dissimilarity from the more Aristotelian-minded ones. It is argued that “centre” and “periphery” in the history of medieval philosophy depends not on the canon (which is rather a historians’ construct and instrument), but rather on the tradition. Hence, although Olivi can be considered as a marginal thinker if we take into the account the Aristotelian tradition of medieval philosophy, he is definitely a central and important thinker, if considered as a member of the Augustinian tradition. (shrink)

Chalmers and Hájek argue that on an epistemic reading of Ramsey’s test for the rational acceptability of conditionals, it is faulty. They claim that applying the test to each of a certain pair of conditionals requires one to think that one is omniscient or infallible, unless one forms irrational Moore-paradoxical beliefs. I show that this claim is false. The epistemic Ramsey test is indeed faulty. Applying it requires that one think of anyone as all-believing and if one is rational, to (...) think of anyone as infallible-if-rational. But this is not because of Moore-paradoxical beliefs. Rather it is because applying the test requires a certain supposition about conscious belief. It is important to understand the nature of this supposition. (shrink)

Alan Hájek launches a formidable attack on the idea that deliberation crowds out prediction – that when we are deliberating about what to do, we cannot rationally accommodate evidence about what we are likely to do. Although Hájek rightly diagnoses the problems with some of the arguments for the view, his treatment falls short in crucial ways. In particular, he fails to consider the most plausible version of the view, the best argument for it, and why anyone would ever believe (...) it in the first place. In doing so, he misses a deep puzzle about deliberation and prediction – a puzzle which all of us, as agents, face, and which we may be able to resolve by recognizing the complicated relationship between deliberation and prediction. (shrink)

Hájek (Erkenntnis 70(2):211–235, 2009) argues that probabilities cannot be the limits of relative frequencies in counterfactual infinite sequences. I argue for a different understanding of these limits, drawing on Norton’s (Philos Sci 79(2):207–232, 2012) distinction between approximations (inexact descriptions of a target) and idealizations (separate models that bear analogies to the target). Then, I adapt Hájek’s arguments to this new context. These arguments provide excellent reasons not to use hypothetical frequencies as idealizations, but no reason not to use them as (...) approximations. (shrink)

Hájek has recently presented the following paradox. You are certain that a cable guy will visit you tomorrow between 8 a.m. and 4 p.m. but you have no further information about when. And you agree to a bet on whether he will come in the morning interval (8, 12] or in the afternoon interval (12, 4). At first, you have no reason to prefer one possibility rather than the other. But you soon realise that there will definitely be a future (...) time at which you will (rationally) assign higher probability to an afternoon arrival than a morning one, due to time elapsing. You are also sure there may not be a future time at which you will (rationally) assign a higher probability to a morning arrival than an afternoon one. It would therefore appear that you ought to bet on an afternoon arrival. The paradox is based on the apparent incompatibility of the principle of expected utility and principles of diachronic rationality which are prima facie plausible. Hájek concludes that the latter are false, but doesn't provide a clear diagnosis as to why. We endeavour to further our understanding of the paradox by providing such a diagnosis. (shrink)

Bryne & Hajek (1997) argue that Lewis’s (1988; 1996) objections to identifying desire with belief do not go through if our notion of desire is ‘causalized’ (characterized by causal, rather than evidential, decision theory). I argue that versions of the argument go through on certain assumptions about the formulation of decision theory. There is one version of causal decision theory where the original arguments cannot be formulated—the ‘imaging’ formulation that Joyce (1999) advocates. But I argue this formulation is independently (...) objectionable. If we want to maintain the desire as belief thesis, there’s no shortcut through causalization. (shrink)

According to the preference-centric approach to understanding partial belief, the connection between partial beliefs and preferences is key to understanding what partial beliefs are and how they’re measured. As Ramsey put it, the ‘degree of a belief is a causal property of it, which we can express vaguely as the extent to which we are prepared to act on it’ The Foundations of Mathematics and Other Logical Essays, Routledge, Oxon, pp 156–198, 1931). But this idea is not as popular as (...) it once was. Nowadays, the preference-centric approach is frequently dismissed out-of-hand as behaviouristic, unpalatably anti-realist, and/or prone to devastating counterexamples. Cases like Eriksson and Hájek’s :183–213, 2007) preferenceless Zen monk and Christensen’s :356–376, 2001) other roles argument have suggested to many that any account of partial belief that ties them too closely to preferences is irretrievably flawed. In this paper I provide a defence of preference-centric accounts of partial belief. (shrink)

In the situation known as the “cable guy paradox” the expected utility principle and the “avoid certain frustration” principle (ACF) seem to give contradictory advice about what one should do. This article tries to resolve the paradox by presenting an example that weakens the grip of ACF: a modified version of the cable guy problem is introduced in which the choice dictated by ACF loses much of its intuitive appeal.

Rational agents seem more confident in any possible event than in an impossible event. But if rational credences are real-valued, then there are some possible events that are assigned 0 credence nonetheless. How do we differentiate these events from impossible events then when we order events? de Finetti (1975), Hájek (2012) and Easwaran (2014) suggest that when ordering events, conditional credences and subset relations are as relevant as unconditional credences. I present a counterexample to all their proposals in this paper. (...) While their proposals order possible and impossible events correctly, they deliver the wrong verdict for disjoint possible events assigned equal positive credence. (shrink)