Arguments pro and contra convergent realism – underdetermination of theory by observational evidence and pessimistic meta-induction from past falsity – are considered. It is argued that, to meet the counter-arguments challenge, convergent realism should be considerably changed with a help of modification of the propositions from this meta-programme “hard core” or “protecting belt”. Two well-known convergent realism rivals – “entity realism” of Nancy Cartwright and Ian Hacking and John Worrall’s “structural realism” – are considered. Entity realism’s main drawback is fundamental (...) laws underestimation. As for structural realism, its limitation of theoretical propositions by pure structural ones is ineffective. One always can transform propositions about objects into propositions about structures and vice versa. Both conceptions are kinds of “metaphysical revisionism” that tries to reformulate the good old convergent realism propositions using more decent language and applying ad hoc modifications of the solutions first obtained within the anti-realist epistemological meta-programmes. It is stated that to overcome the troubles of convergent realism one has to turn from classical or “metaphysical” realism to nonclassical or “internal” one and to coherent theory of truth. Internal realism has no troubles in solving the problem of empirically-equivalent theoretical descriptions and historical meta-induction problem, but gets the problem of scientific knowledge objectivity instead. Where does this objectivity come from? One of the answers is proposed by the scientific knowledge growth model elaborated by Rinat Nugayev and by Peter Galison. Each paradigm is a local viewpoint determined by the peculiarities of a culture into which its creator . was submerged. However, the meeting of the different paradigms leads to their interaction; as a result, the crossbred theoretical objects are constructed. Through these systems the infiltration of one paradigm on the other’s domain takes place. After the old paradigms’ grinding the new ones emerge that reconcile to each other much better than the old ones. Scientific theories reconcile results in elimination of many contingent details. In the process of competition more universal components survive. It is demonstrated that the process of objective knowledge genesis takes place in modern superstring theory too. The list of its drawbacks is rather long; it is clear that the theory cannot pretend on the role of the Theory of Everything. Nevertheless the process of argumentation pro and contra convergent realism – underdetermination of theory by observational evidence and pessimistic meta-induction from past falsity – are considered. It is argued that, to meet the counter-arguments challenge, convergent realism should be considerably changed with a help of modification of the propositions from this meta-programme “hard core” or “protecting belt”. It is stated that to overcome the troubles of convergent realism one has to turn from classical or “metaphysic” of quantum field theory and general relativity interpenetration have already begun. (shrink)

With increasing publication and data production, scientific knowledge presents not simply an achievement but also a challenge. Scientific publications and data are increasingly treated as resources that need to be digitally ‘managed.’ This gives rise to scientific Knowledge Management : second-order scientific work aiming to systematically collect, take care of and mobilise first-hand disciplinary knowledge and data in order to provide new first-order scientific knowledge. We follow the work of Leonelli, Efstathiou (...) and Hislop in our analysis of the use of KM in semantic systems biology. Through an empirical philosophical account of KM-enabled biological research, we argue that KM helps produce new first-order biological knowledge that did not exist before, and which could not have been produced by traditional means. KM work is enabled by conceiving of ‘knowledge’ as an object for computational science: as explicated in the text of biological articles and computable via appropriate data and metadata. However, these founded knowledge concepts enabling computational KM risk focusing on only computationally tractable data as knowledge, underestimating practice-based knowing and its significance in ensuring the validity of ‘manageable’ knowledge as knowledge. (shrink)

Western science claims to provide unique, objective information about the world. This is supported by the observation that peoples across cultures will agree upon a common description of the physical world. Further, the use of scientific instruments and mathematics is claimed to enable the objectification of science. In this work, carried out by reviewing the scientific literature, the above claims are disputed systematically by evaluating the definition of physical reality and the scientific method, showing that empiricism relies (...) ultimately upon the human senses for the evaluation of scientific theories and that measuring instruments cannot replace the human sensory system. Nativist and constructivist theories of human sensory development are reviewed, and it is shown that nativist claims of core conceptual knowledge cannot be supported by the findings in the literature, which shows that perception does not simply arise from a process of maturation. Instead, sensory function requires a long process of learning through interactions with the environment. To more rigorously define physical reality and systematically evaluate the stability of perception, and thus the basis of empiricism, the development of the method of dimension analysis is reviewed. It is shown that this methodology, relied upon for the mathematical analysis of physical quantities, is itself based upon empiricism, and that all of physical reality can be described in terms of the three fundamental dimensions of mass, length and time. Hereafter the sensory modalities that inform us about these three dimensions are systematically evaluated. The following careful analysis of neuronal plasticity in these modalities shows that all the relevant senses acquire from the environment the capacity to apprehend physical reality. It is concluded that physical reality is acquired rather than given innately, and leads to the position that science cannot provide unique results. Rather, those it can provide are sufficient for a particular environmental setting. (shrink)

Why must we respect others’ rights to dispute scientific knowledge such as that the Earth is round, or that humans evolved, or that anthropogenic greenhouse gases are warming the Earth? In this paper, I argue that in On Liberty Mill defends the freedom to dispute scientific knowledge by appeal to a novel social epistemic rationale for free speech that has been unduly neglected by Mill scholars. Mill distinguishes two kinds of epistemic warrant for scientific (...) class='Hi'>knowledge: 1) the positive, direct evidentiary warrant that scientific experts construct for their knowledge by applying the methods Mill had set out in his A System of Logic, Ratiocinative and Inductive, and 2) a social testimonial warrant that the non-expert “public” has for what Mill refers to as their “rational[ly] assur[ed]” beliefs on scientific subjects. Mill does not argue that scientific claims can never be proven true with complete practical certainty to scientific experts, nor does he argue that scientists must engage in free debate with critics such as flat-earthers in order to fully understand the grounds of their scientific knowledge. Instead, Mill argues that in the absence of the freedom to dispute scientific knowledge, non-experts cannot establish that scientific experts are credible sources of testimonial knowledge. To establish the credibility of scientific expert speakers, non-expert audiences must have a rational assurance, Mill argues, that experts have satisfactory answers to objections that might undermine the positive, direct evidentiary proof of scientific knowledge. But since non-experts cannot distinguish objections that undermine such expert proof from objections that do not, censorship of any objection — even the irrelevant objections of literal or figurative flat-earthers — will prevent non-experts from determining whether scientific expert speakers are credible. Hence, while censoring irrelevant objections would not undermine the positive, direct evidentiary warrant that scientific experts have for their knowledge, doing so would destroy the non-expert, social testimonial warrant for that knowledge. The asymmetry between how expert scientific speakers and non-expert audiences warrant their scientific knowledge is what both generates and necessitates Mill’s social epistemic rationale for the “absolute” freedom to dispute it. (shrink)

The objective of this paper is to introduce, into the English scientific-philosophical literature of Genetic Epistemology, a model called the Model of the System of Schemes of Actions and Operations on Symbols and Signs (MoSSAOSS), and summarize its results, so far. MoSSAOSS articulates some of the principal theoretical and experimental results obtained by Piaget and his coworkers, in a systemic, systematic and synthetic view. Here, the term model means a schematic representation of experience, in which the relation of elements (...) can be explored by means of logic and mathematics in order to deduce properties that correspond to direct observable empirical properties, in a sufficiently accurate form. Through explicit definitions and hypotheses, MoSSAOSS intends to reveal, in an abstract and simplified form, the general structure and functioning of the System of Schemes of Actions and Operations on Symbols and Signs. This system makes explicit the necessary elements for the acquisition of knowledge by the epistemic subject (the knower subject), allowing for the explanation of its developmental stages, as well as the attribution of meaning to objects and situations, and to the subject’s actions and operations. Conceived in 1992 and introduced in Portuguese scientific-philosophical literature in 2014, MoSSAOSS has been used in a research program to study the necessary structures for knowledge acquisition, particularly scientific-philosophical knowledge. Its main results are summarized here. (shrink)

Studies on difficulties in understanding scientific terms have shown that the problem is more serious among non-Western learners. The main reasons for this are the learners' pre-existing knowledge of scientific terms, their native language incommensurability with Western languages, and the polysemy of the words used to denote scientific concepts. The current study is an analysis of the conceptualisation of scientific concepts in two culturally different languages, i.e. Arabic and French, which represent a non-Western language and (...) a Western language respectively. Physics concepts which are considered as some of the most challenging concepts for non-Western languages (Loo 2005; Aranador 2005) were selected for analysis. To this end, the terms that refer to two physics concepts, "weight" and "mass" in Arabic وَزْن (wazn) and كُتْلَة (kutla) and in French poids and masse were semantically analysed. The analysis of the concepts in both languages is informed by the prototype theory by Rosch (1973; 1975), idealised cognitive models (ICMs) by Lakoff (1987), and conceptual metaphor and conceptual metonymy by Lakoff and Johnson (2003). The data for analysis were retrieved from two comparable Arabic and French corpora, namely the ArabiCorpus and the Concordancier-Corpus Français. The results suggest that there are both similarities and differences between the Arabic and French concepts in terms of meanings, prototypes, and metaphorical as well as metonymic semantic extensions. These findings support the argument that the human conceptual system is related to our environmental and cultural experiences and also importantly, validate previous claims on the need for educators to be cognizant of the culturally relevant meanings of scientific words found in everyday language that may impede learners' understanding of scientific concepts. (shrink)

The new phase of science evolution is characterized by totality of subject and object of cognition and technology (high-hume). As a result, forming of network structure in a disciplinary matrix modern are «human dimensional» natural sciences and two paradigmal «nuclei» (attraktors). As a result, the complication of structure of disciplinary matrix and forming a few paradigm nuclei in modern «human dimensional» natural sciences are observed. In the process of social verification integration of scientific theories into the existent system of (...) mental and valued options of spiritual culture takes place. The attribute of classical science – ethics neutrality of scientific knowledge becomes an unattainable ideal. One of the trends in the evolution of theoretical epistemology is the study of migration mechanisms of generation of scientific knowledge from the sphere of its own logic and methodology of science in the field of sociology - the consideration of this process, as the resulting system of interactions of social structures and institutions. Ensuing ideas and settings become the dominant worldview of philosophical and technological civilization. -/- . (shrink)

The Soviet ideology treated natural science as one of its cornerstones and provided the state support for philosophical studies of science. Their main aims were to prove its intellectual superiority and to demonstrate its scientific character. Do these studies have some positive results and resources for surviving in post-Soviet times? The chapter gives the overview of present situation in Ukrainian analytical studies of science and indicates some perspectives of their developments. Some of these are connected with a careful structure-nominative (...) analysis of real scientific knowledge systems and relations between them. -/- Ideology and philosophical studies of science Complexity of scientific knowledge systems Components and structures of knowledge systems -/- . (shrink)

Philosophical investigation in synthetic biology has focused on the knowledge-seeking questions pursued, the kind of engineering techniques used, and on the ethical impact of the products produced. However, little work has been done to investigate the processes by which these epistemological, metaphysical, and ethical forms of inquiry arise in the course of synthetic biology research. An attempt at this work relying on a particular area of synthetic biology will be the aim of this chapter. I focus on the reengineering (...) of metabolic pathways through the manipulation and construction of small DNA-based devices and systems synthetic biology. Rather than focusing on the engineered products or ethical principles that result, I will investigate the processes by which these arise. As such, the attention will be directed to the activities of practitioners, their manipulation of tools, and the use they make of techniques to construct new metabolic devices. Using a science-in-practice approach, I investigate problems at the intersection of science, philosophy of science, and sociology of science. I consider how practitioners within this area of synthetic biology reconfigure biological understanding and ethical categories through active modelling and manipulation of known functional parts, biological pathways for use in the design of microbial machines to solve problems in medicine, technology, and the environment. We might describe this kind of problem-solving as relying on what Helen Longino referred to as “social cognition” or the type of scientific work done within what Hasok Chang calls “systems of practice”. My aim in this chapter will be to investigate the relationship that holds between systems of practice within metabolic engineering research and social cognition. I will attempt to show how knowledge and normative valuation are generated from this particular network of practitioners. In doing so, I suggest that the social nature of scientific inquiry is ineliminable to both knowledge acquisition and ethical evaluations. (shrink)

This article proposes that thinking of scientific instruments as playthings or philosophical toys offers a method for looking at the ways in which we learn from made things and from the act of making in investigating the world. Rather than approaching artefacts as stable ob- jects, definable and categorisable in terms of their function, this method puts forward the instability and mobility of artefacts on several levels: in terms of their movements between hands, social contexts and systems of (...) knowledge, in terms of their physical articulations and of their changing functions, and in terms of the flows and processes of materials at work within and through them. (shrink)

In reading Barbara Koslowski's "Theory and Evidence: The Development of Scientific Reasoning", one may be convinced that the ancient debate between classical rationalists and empiricists is alive. And like most people who carefully investigate the ability of either rationalism or empiricism truly to account for all of our ability to know, Koslowski arrives at the position of saying that knowledge (in this case scientific knowledge) is a product of both: "neither theory nor data alone is sufficient (...) to achieve scientific success; each must be evaluated in the context of, and constrained by, the other". The problem, according to Koslowski, for those who insist upon empiricism as being the only type of understanding which counts as science, is that we then exclude much of the productive thought in children empiricism champions itself as being theory-independent. The theory-independent notion of science uses covariation as its exclusive criterion for scientific reasoning. "In short, the empiricist aim of rationally reconstructing scientific inquiry in terms of theory-independent principles went along with an (all but exclusive) emphasis on the role of Humean indices. And this, in turn, brought with it a corresponding emphasis on hypothesis testing rather than hypothesis discovery and revision". Consequently, according to Koslowski, if we are willing to expand our notion of scientific reasoning to go beyond testing for covariation, then we will find that many more children and adults can be seen to reason in a manner which would be called "scientific". (shrink)

Final instalment of a book-review symposium on: Jeff Kochan (2017), Science as Social Existence: Heidegger and the Sociology of Scientific Knowledge (Cambridge UK: Open Book Publishers). -- Author's response to: Paolo Palladino (2018), 'Heidegger Today: On Jeff Kochan’s Science and Social Existence,' Social Epistemology Review and Reply Collective 7(8): 41-46; and Adam Riggio (2018), 'The Very Being of a Conceptual Scheme: Disciplinary and Conceptual Critiques,' Social Epistemology Review and Reply Collective 7(11): 53-59.

In this paper, we assess the possibility of a critical knowledge of technology. In the case of facial recognition systems, 'FRS', we argue that behaviorism underlies this technology, and analyze the debate about behaviorism to show the lack of consensus about its theoretical foundations. In particular we analyze the structure of knowledge generated by FRS as affected by a technological behaviorism. Our last point is a suggestion to use the concept of dasiacritical knowledgepsila, which we borrow from (...) Ladriere, to question and challenge the technological finalities and the foundational scientific theory underlying FRS. (shrink)

List of Illustrations Introduction 1 The Didactic and the Elegant: Some Thoughts on Scientific and Technological Illustrations in the Middle Ages and Renaissance 3 2 Temples of the Body and Temples of the Cosmos: Vision and Visualization in the Vesalian and Copernican Revolutions 40 3 Descartes’s Scientific Illustrations and ’la grande mecanique de la nature’ 86 4 Illustrating Chemistry 135 5 Representations of the Natural System in the Nineteenth Century 164 6 Visual Representation in Archaeology: Depicting the Missing-Link (...) in Human Origins 184 7 Towards an Epistemology of Scientific Illustration 215 8 Illustration and Inference 250 9 Visual Models and Scientific Judgment 269 10 Are Pictures Really Necessary? The Case of Sewall Wright’s ’Adaptive Landscapes’ 303 Bibliography 339 Notes on Contributors 373 Index 377. (shrink)

Usual narratives among prehistoric archaeologists consider typological approaches as part of a past and outdated episode in the history of research, subsequently replaced by technological, functional, chemical, and cognitive approaches. From a historical and conceptual perspective, this paper addresses several limits of these narratives, which (1) assume a linear, exclusive, and additive conception of scientific change, neglecting the persistence of typological problems; (2) reduce collective developments to personal work (e.g. the “Bordes’” and “Laplace’s” methods in France); and (3) presuppose (...) the coherence and identity of these “methods” over time. It explores the case of the “Structural and analytical typology” method, developed in France, Spain, and Italy from the 1950s to the 2000s by Georges Laplace and his collaborators for lithic implements. This paper (1) provides a detailed historical account of the evolving content of this collective endeavour over five decades; (2) it addresses the epistemological question of what makes the identity and unity of a scientific method, demonstrating that the core component of the “analytical typology” lies in its particular way to represent real-world phenomena through its notation system; and (3) it reveals how this little known but significant episode of advances in the methods and theory of archaeology, contemporary but independent of the “New Archaeology” trend in English-speaking archaeology, was instrumental in the continuation of evolutionary perspectives in France and in the development of quantitative and formal methods in archaeology in southwestern Europe, foreseeing crucial knowledge representation issues raised today by digital methods in archaeology and data curation. (shrink)

In Posterior Analytics 71b9 12, we find Aristotle’s definition of scientific knowledge. The definiens is taken to have only two informative parts: scientific knowledge must be knowledge of the cause and its object must be necessary. However, there is also a contrast between the definiendum and a sophistic way of knowing, which is marked by the expression “kata sumbebekos”. Not much attention has been paid to this contrast. In this paper, I discuss Aristotle’s definition paying (...) due attention to this contrast and to the way it interacts with the two conditions presented in the definiens. I claim that the “necessity” condition ammounts to explanatory appropriateness of the cause. (shrink)

This chapter examines three characteristics of environmental sciences—prediction, replication and the use of models—to explore their dissonance with the traditional representation of science. While ‘Science’ is often idealised as objective, universal, and context-independent, environmental sciences operate in ways that do not fit into these assumptions. The chapter draws on Bruno Latour’s distinction between ‘Science’ and ‘sciences’ to argue that environmental sciences, with their inherent uncertainties, local contexts, and interdisciplinary methods, conflict with the image of science as a monolithic and universally (...) reliable source of knowledge. Referring to case studies, the text explores how environmental sciences craft complex, interconnected systems that defy the reproducibility and predictability often associated with ‘Science’. This dissonance, maintains, has led to issues such as climate denialism and the politicisation of scientific knowledge. From this perspective, a call is made for a revaluation of how environmental sciences are represented in both public and policy arenas, calling for a more nuanced understanding of their provisional, context-specific nature and for educational reforms that help the public better grasp the complexities of scientific knowledge production. (shrink)

It is proposed to analyze the unity of scientific knowledge in terms of its structure-nominative reconstruction. -/- .

Epistemic questions have become an important area of debate within democratic theory. Epistemic democrats have revived epistemic justification of democracy, while social scientific research has speared a significant debate on voter knowledge. An area which has received less attention, however, is the epistemic case for markets. Market advocates have developed a number of epistemic critiques of democracy which suggest that most goods are better provided by markets than democratic institutions. Despite representing important challenges to democracy, these critiques have (...) gone without reply as democratic theorists have tended to exclude markets from consideration. This article responds to these critiques and argues that there are good epistemic grounds for granting a much greater role to democracy than its market critics have claimed. It argues that there is a broad range of goods, including important ethical goods, which are better provided by democracy than markets due to the particular epistemic burdens they create. (shrink)

The reproducibility crisis in social sciences has revealed significant weaknesses in conventional research practices, including selective publication, questionable statistical methods, and opaque peer review processes. This paper introduces Granular Interaction Thinking Theory (GITT) as a novel framework for understanding the plausibility of scientific findings, conceptualizing knowledge validation as a structured entropy-reduction process. Within this framework, open science practices—such as open data, open review, and open dialogue—initially increase informational entropy by exposing inconsistencies. However, through iterative refinement, they ultimately enhance (...) the robustness and plausibility of scientific knowledge. To systematically assess a study’s plausibility, we propose the Scientific Plausibility Index (SPI)—an entropy-based metric that integrates data and method transparency, replication success rates, and community engagement. Additionally, leveraging artificial intelligence (AI) and natural language processing (NLP), a dynamic plausibility-tracking system could be developed to detect unreliable claims early and accelerate scientific self-correction. This shift—from closed, one-time assessments to continuous, community-driven evaluation models—ensures that scientific knowledge remains rigorously tested and updated. We advocate for shifting from closed, one-time assessments to continuous, community-driven evaluation models, ensuring that scientific knowledge remains rigorously tested and updated. Ultimately, aligning incentives with entropy-reducing mechanisms—such as rewarding replication efforts and fostering open discourse—can cultivate a research culture that prioritizes robustness, transparency, and cumulative knowledge-building. (shrink)

Eetu Pikkarainen describes the educational thinking of Johann AmosComenius (1592-1670) from a perspective of Bildung -theoretical problems. Comenius has had a remarkable influence on modern education, particularly through his language-learning and general didactical methods and principles. However, Comenius’ broader pansophic views have had somewhat more benign later effects. Comenius developed a reformation programme concerning the ‘main areas’ of reality, from theology and education to philosophy and language to social questions and world peace. This program has important connections to the modern (...) theories of Bildung. Comenius connects individual human growth with global issues such as the growth of scientific knowledge, the justice of political systems, and world peace. In his philosophy, Comenius strongly criticises the problems of the rising modern thinking such as trapping to dualisms. From that angle, Comenius appears an almost postmodern thinker with surprising similarity to the thoughts of C S Peirce. (shrink)

Pierre Duhem is the discoverer of the physics of the Middle Ages. The discovery that there existed a physics of the Middle Ages was a surprise primarily for Duhem himself. This discovery completely changed the way he saw the evolution of physics, bringing him to formulate a complex argument for the growth and continuity of scientific knowledge, which I call the ‘Pierre Duhem Thesis’ (not to be confused either with what Roger Ariew called the ‘true Duhem thesis’ as (...) opposed to the Quine-Duhem thesis, which he persuasively argued is not Duhem’s, or with the famous ‘Quine-Duhem Thesis’ itself). The ‘Pierre Duhem Thesis’ consists of five sub-theses (some transcendental in nature, some other causal, factual, or descriptive), which are not independent, as they do not work separately (but only as a system) and do not relate to reality separately (but only simultaneously). The famous and disputed ‘continuity thesis’ is part, as a sub-thesis, from this larger argument. I argue that the ‘Pierre Duhem Thesis’ wraps up all of Duhem’s discoveries in the history of science and as a whole represents his main contribution to the historiography of science. The ‘Pierre Duhem Thesis’ is the central argument of Pierre Duhem's work as historian of science. (shrink)

Cattle farming is a traditional agricultural system that contributes to the rural economic, social, and cultural values of the communities. Cattle as common with other livestock, are affected by many diseases that cause mortality and economic losses. In many rural households, the use of plants and associated knowledge are popular for managing cattle diseases, especially in areas experiencing challenges with conventional veterinary medicine. Evidence on the documentation of indigenous knowledge and biological evaluation of plants used against cattle diseases (...) remain understudied and fragmented. The aim of the review is to collate and analyze the ethnoveterinary knowledge and biological evaluation of plants used against cattle diseases in South Africa. Different scientific databases were systematically explored to extract data from 37 eligible studies. A total of 310 medicinal plants from 81 families were used to treat 10 categories of cattle diseases across seven (7) provinces in South Africa. Leguminosae (Fabaceae), Compositae (Asteraceae), Asparagaceae, and Xanthorrhoeaceae were the most frequently used plant families. Common plant parts used were leaves and roots. Twenty-seven (27) combination remedies involving 2–6 plants were identified as treatment regimes against cattle diseases. Common preparation methods were infusion and decoction while the administration mode was predominantly unspecified (52%) while oral and topical contributed 26 and 22%, respectively. In terms of diseases, the most treated ones were general systems infection, reproduction disorders, and gastrointestinal problems. Currently, an estimated 21% of the 310 plants have been evaluated for diverse biological activities using relevant bioassays related to cattle diseases. Antibacterial activity remained the most studied biological activity. Evidence from the review revealed the significance of ethnoveterinary medicine against cattle diseases especially in rural areas of South Africa. Nevertheless, the use of plants for cattle diseases among other ethnic groups, particularly in the Northern Cape and Western Cape, remains understudied. (shrink)

My analysis takes as its point of departure the controversial assumption that contemporary ethical theories cannot capture adequately the ethical and social challenges of scientific and technological development. This assumption is rooted in the argument that classical ethical theory invariably addresses the issue of ethical responsibility in terms of whether and how intentional actions of individuals can be justified. Scientific and technological developments, however, have produced unintentional consequences and side-consequences. These consequences very often result from collective decisions concerning (...) the way we wish to organise our economies and society, rather than from individual actions. It has been apparent for a long time now that it is not sufficient to construct an ethics of science and technology on the basis of the image of a scientist who intentionally wants to create a Frankenstein. Thus, as a minimum we would require an ethical framework that addresses both the aspect of unintentional side consequences (rather than intentional actions) and the aspect of collective decisions (rather than individual decisions) with regard to complex societal systems, such as the operation of our economy. We do not have such a theory available. More disturbing than the principle shortcomings of ethical theory are the shortcomings of conventional ethical practice with respect to technological developments. Below I will suggest how four different developments can illustrate these shortcomings, which centre around the fact that individuals in our society can simply not be held fully accountable for their individual role within the context of scientific technological developments. I will call these shortcomings of a theory (and practice) of individual role responsibility. This may help us to reflect on robotics too, insofar as robots may be perceived as replacements for “roles”. From there, I will argue why we have to shift our attention to an ethics of knowledge assessment in the framework of deliberative procedures. (shrink)

The theory of evolution of complex and comprising of human systems and algorithm for its constructing are the synthesis of evolutionary epistemology, philosophical anthropology and concrete scientific empirical basis in modern (transdisciplinary) science. «Trans-disciplinary» in the context is interpreted as a completely new epistemological situation, which is fraught with the initiation of a civilizational crisis. Philosophy and ideology of technogenic civilization is based on the possibility of unambiguous demarcation of public value and descriptive scientific discourses (1), and (...) the object and subject of the cognitive process (2). Both of these attributes are no longer valid. For mass, everyday consciousness and institutional philosophical tradition it is intuitively obvious that having the ability to control the evolutionary process, Homo sapiens came close to the borders of their own biological and cultural identity. The spontaneous coevolutionary process of interaction between the «subject» (rational living organisms) and the «object» (material world), is the teleological trend of the movement towards the complete rationalization of the World as It Is, its merger with the World of Due. The stratification of the global evolutionary process into selective and semantic (teleological) coevolutionary and therefore ontologically inseparable components follows. With the entry of anthropogenic civilization into the stage of the information society, firsty, the post-academic phase of the historical evolution of scientific rationality began, the attributes of which are the specific methodology of scientific knowledge, scientific ethos and ontology. Bioethics as a phenomenon of intellectual culture represents a natural philosophical core of modern post- academic (human-dimensional) science, in which the ethical neutrality of scientific theory principle is inapplicable, and elements of public-axiological and scientific-descriptive discourses are integrated into a single logic construction. As result, hermeneutics precedes epistemology not only methodologically, but also meaningfully, and natural philosophy is regaining the status of the backbone of the theory of evolution – in an explicit form. (shrink)

The contrast between the strategies of research employed in reductionism and holism masks a radical contradiction between two different scientific philosophies. We concentrate in particular on an analysis of the key philosophical issues which give structure to holistic thought. A first (non-exhaustive) analysis of the philosophical tradition will dwell upon: a) the theory of emergence: each level of organisation is characterised by properties whose laws cannot be deduced from the laws of the inferior levels of organisation (Engels, Morgan); b) (...) clarification of the relations between the “whole” and the “parts” (Woodger, Needham); c) the ontological or epistemological nature of the emergent properties; are they a phenomenological reality or solely an artefact of the state of our knowledge? (Pepper, Henle, Hempel and Oppenheim); d) the proposition of the holistic theoretical and methodological model ( Novikoff, Feibleman). I then go on to examine the differences that exist between the reductionist and the holistic approaches at various levels of analysis: that is to say, the differences which affect their ontologies, methodologies and epistemologies respectively. I attempt to understand the spirit of a holistic approach to ecology by analyzing the major work of E.P. Odum Fundamentals of ecology (1953, 1959, 1971). I set forward what might be meant by the “holistic approach”, which is implicated in all the different levels of organisation at which the problem of “complexity” is debated. Ecology presents itself as an “holistic science” and Odum’s book offers a vision of the world which dates far back in the history of philosophy. By looking at the three different editions of this fundamental text on ecology, we may become aware of the evolution of Odum’s thought. In fact, only in the third and last edition is there a conscious appropriation of the holistic approach (by using the theoretical models of Feibleman who, for his part, refers to Novikoff). However, even when formally referring to the theory of emergence (that is to say the ontological nucleus of every holistic approach), Odum’s systemic analysis presents the same logical errors, which push him back into the reductionist domain. Above all, in his examination of the main concepts of “population”, “community” and “ecosystem”, there is a misunderstanding of the profound difference between “collective properties” and “emergent properties”. Moreover, the cybernetic models of Odum’s systemic analysis (introduced into ecology by Margalef), allowed him to vastly oversimplify his methodological task: in fact, neither how many levels nor which levels of organization are fundamental for the study of each individual level is clearly marked. Finally, Odum analyses the ecosystem as composed of energetic flux and cycles of matter, referring to the trophic-dynamic vision of Lindeman. That is to say, in my opinion, he juxtaposes a reductionistic methodology and epistemology to an holistic ontology. (shrink)

ABSTRACT The individual-community relationship has always been one of the most fundamental topics of social sciences. In sociology, this is known as the micro-macro relationship while in economics it refers to the processes, through which, individual actions lead to macroeconomic phenomena. Based on philosophical discourse and systems theory, many sociologists even use the term "emergence" in their understanding of micro-macro relationship, which refers to collective phenomena that are created by the cooperation of individuals, but cannot be reduced to individual (...) actions. "Emergence" theories attempt to explain the nature of society as a complex system by examining how individuals and their relationships lead to the creation of integrated and macro-social phenomena such as markets, educational systems, cultural beliefs, and shared social practices. As a prelude to activity, every researcher has to answer the question from the methodological point of view, how is it possible to study the behavior of social groups and how can we gain knowledge about the laws related to social groups? Anyone who deals with humanities and social sciences or any reality and phenomenon that affects human beings, inevitably deals with the reality that is emerging. In fact, emergence occurs when one level of reality emerges radically from another level. Examples of emergent levels of reality include how the mind emerges from the body; or the way society emerges from human beings. Therefore, when there is an emerging factor, different scientific disciplines should be used, because it is inevitable to talk about social affairs, psychology and neurobiology, as well as physical and even chemical. -/- INTRODUCTION Since its beginning in the 19th century, sociology has faced the fundamental question of what a social phenomena stands for? At a glance, sociologists deal with the study of social groups, collective behavior, institutions, social structures, social networks, and social dynamics, and ultimately all such phenomena are composed of individuals. Therefore, social phenomena seem to have no independent ontological status, and in this case, sociology is ultimately about reducible individuals. Different approaches about the micro-macro relationship, using the concept of "emergence", argue that although collective phenomena are created by individuals, they cannot be reduced to individual action. The term "emergence" is used to distinguish "emergent results" from " Procedural results". Results are called Procedural that can only be calculated by adding or subtracting the causes that act together. On the contrary, they are emergent outcomes that are qualitatively novel compared to the causes from which they originate. An example of such emergent results is mental characteristics that emerge from neural processes, but are not considered among the characteristics of neural processes of components - which are their origin. Philosophical debates about emergentism and reductionism focus on the mind-brain relationship, but as many philosophers have noted, they can be generalized to apply to any hierarchical set of features. The cognitive revolution reactivated a 19th century controversy between theorists of Identity and dualism. The theorists of Identity believe in reductionist materialism and elimination of metaphysics, according to which the mind is nothing more than the biological, while the dualists believe that the mind and the brain are distinct from each other. Emergence has been considered as a third way between the theories of Identity and dualism. -/- METHODOLOGY Interdisciplinarity Is fundamentally indicated by the dominance of open systems as well as social and emerging systems at different levels. Therefore, as long as we are facing a new emergentism, there will necessarily be different fields and an interdisciplinary method. The commonality of social sciences and cognitive sciences on the issue of emergence provides the possibility of interaction and exchange of concepts between these two for deeper research. Therefore, in this research, apart from the concepts of Subvenience and downward causation, we have used multiple realization and wildly disjunctive, which are used to explain the emerging concept in cognitive sciences, including neurobiology, psychology, and philosophy. For analytical and interdisciplinary approaches, after examining the concepts of subvenience, and wildly disjunctive, Individualistic and collectivist emergentism have been reviewed. And then their adequacy is criticized and evaluated in meeting strong emergence conditions. -/- FINDINGS Philosophers of the mind have been able to define the conditions of irreducibility and downward causation, which are essential for strong emergence, by using the principle of subvenience with the help of multiple realization and wildly disjunctive principles. Therefore, by definition, emergentist individualism suffers from the problem of how to explain downward causality and irreducibility, and emergentist collectivism faces the challenge of reification. The analysis of the challenges facing the two methodological approaches of individualism and collectivism leads us to three unresolved issues about the emerging phenomenon, which are realism, downward causality, and mechanism. Despite the differences in the stances of these two approaches regarding the aforementioned triple problems, individualists and collectivists both agree that some social characteristics are reducible; and some others are irreducible due to their complexity, the determination of which, depends on the case study of the mechanism of emergence of each social characteristic. -/- CONCLUSION An emergence that is consistent with reductionism is called a weak emergence. And strong emergence includes the principle of irreducibility and downward causality. According to strong emergence, the characteristics of social phenomena have downward causal power, which cannot be reduced to the causal forces. The principle of subvenience, together with multiple realization and wildly disjunctive, can provide the conditions of irreducibility and downward causality, which are essential conditions of strong emergence. Based on the philosophical analysis of two methodological approaches, individualist and collectivist, it can be concluded that emergentist individualism suffers from the problem of how to explain downward causality and irreducibility, and reification collectivism faces the challenge of reification. The analysis of the problems faced by these two approaches leads us to three unresolved issues, which are realism, downward causality, and mechanism. individualist emergentists acknowledge the existence of emergent social characteristics, but despite this, they believe that these characteristics are not real but merely analytical constructs that require explanation based on individuals and their mutual actions. But collectivists argue that emergentism yields a categorical ontology and supports social realism. They accept the dependence of social characteristics on individuals, but claim that social entities and structures are ontologically independent. Individualists and collectivists both agree that some social characteristics are reducible; and others are irreducible due to their complexity; and the only way to recognize this is to engage in empirical studies of the mechanisms and temporal processes of "emergence" that create social characteristics. -/- NOVELTY The newness of this compact article is as follows: a) Presenting an interdisciplinary approach using the analysis of philosophy of cognitive sciences, including the philosophy of mind, neurobiology and psychology to formulate the issue of social emergence; b) Criticizing individualist and collectivist methodological approaches to the issue of social emergence and explaining the sufficiency and shortcomings of both in providing weak and strong emerging conditions; c) Explaining and categorizing the challenges facing methodological approaches in explaining the phenomenon of social emergence, in three categories: realism, downward causality, and mechanism. BIBLIOGRAPHY Beckermann, A., Flohr, H., & Kim, J. (eds.) (1992). Emergence or reduction? Essays on the prospects of nonreductive physicalism. Berlin: Walter de Gruyter. Bhaskar, R. (1979). The possibility of Naturalism. New York: Routledge. Bhaskar, R., Danermark, B. & Price, L. (2018). Interdisciplinarity and wellbeing: A critical realist general theory of interdisciplinarity. London and New York: Routledge. Blau, P.M. (1981). Introduction: diverse views of social structure and their common denominator. In Blau, P.M. & Merton, R.K. (eds.), Continuity in Structural Inquiry (pp. 1–23). Beverly Hills: Sage. Blau, P.M. (1987). Microprocess and macrostructure. In K.S. Cook (ed.), Social Exchange Theory (pp. 83–100). Newbury Park, CA: Sage. Brooks, R.A., & Maes, P. (eds). (1994). Artificial life IV; proceedings of the Fourth International Workshop on the Synthesis and Simulation of Living Systems. Cambridge, Mass: MIT Press. Clark, A. (1997). Being there: Putting brain, body, and world together again. Cambridge, Mass.: MIT Press. Coleman, J. S. (1987). Microfoundations and macrosocial behavior. In: J. C. Alexander, B. Giesen, R. Munch, & Neil J. Smelser (Eds.). The Micro-Macro Link (pp. 153–73). Berkeley: University of California. Coleman, J. S. (1990). Foundations of social theory. Cambridge, MA: Harvard University Press. Elster, J. (1985). Making sense of Marx. New York: Cambridge University Press. Fodor, J.A. (1974). Special sciences (Or: The disunity of science as a working hypothesis). Synthese, 28(2), 97–115. Fodor, J.A. (1989). Making mind matter more. Philosophical Topics, 17, 59-79. Giddens, A. (1984). The constitution of society: Outline of the theory of structuration. Berkeley: University of California Press. Hempel, C.G. (1965). Aspects of scientific explanation and other essays in the philosophy of science. New York: The Free Press. Horgan, T. (1993). From supervenience to superdupervenience: meeting the demands of a material world. Mind, 102, 555-586. Humphreys, P. (1997). How properties emerge”. Philosophy of Science, 64, 1-17. Kim, J. (1999). Making sense of emergence. Philosophical Studies, 95, 3–36. Kincaid, H. (1997). Individualism and the unity of science. New York: Rowman & Littlefield. Lewis, D.K. (1986). The plurality of worlds. Oxford: Oxford University Press. Nigel, G., & Conte, R. (eds.) (1995). Artificial societies; The computer simulation of social life. London: UCL Press. O’Connor, T. (1994). Emergent properties. American Philosophical Quarterly, 31, 91-104. Popper, K.R. (1968). Conjectures and refutations: The Growth of Scientific Knowledge. New York: Harper & Row. Sawyer, R. K. (2001). Emergence in sociology: contemporary philosophy of mind and some implications for sociological theory. American Journal of Sociology, 107, 551-585. Sawyer, R. K. (2004). The mechanisms of emergence. Philosophy of the Social Sciences, 34, 260–282. Sawyer, R. K. (2005). Social emergence: societies as complex systems. Cambridge: Cambridge University Press. Sawyer, R.K. (2003). Nonreductive individualism: Part 2, Social causation. Philosophy of the Social Sciences, 33, 203–224. Winch, P. (1993). The idea of a social science and its relation to philosophy‭ (SAMT, Trans.). Tehran, Iran: SAMT. (shrink)

This is a translation, made by myself, of the paper to be published in Portuguese in the journal Discurso, 2020, in honour of the late professor Oswaldo Porchat. I discuss what Aristotle was trying to encode when he said that the object of scientific knowledge is necessary, or that what we know (scientifically) cannot be otherwise etc. The paper is meant as a continuation of previous papers—orientated towards a book on the Posterior Analytics—and thus does not discuss in (...) much detail key passages, as the very definition of scientific knowledge in APo I.2, or passages from APo I.4 and I.6 (for these, I refer to my previous papers). This paper is mainly focused on Aristotle’s references to his notion of scientific knowledge both in other passages from the APo and in other treatises. I intend to show that there is a progressive, intrinsic relation between the two requirements by which scientific knowledge is defined. It is not true that each of these requirements stems from a different source. The Causal-Explanatory requirements gives Aristotle the general heading. Then, the Necessity Requirement ranges over the explanatory relation between explanans and explanandum and thereby specifies what sort of cause is sctricly required for having scientific knowledge of a given explanandum. Now, Aristotle was also concerned with the necessary truth of the elemental predications that constitute a demonstration. My claim that the Necessity Requirement ranges over the explanatory relation does not ignore that concern, and does not deny it. My claim is that Aristotle’s main focus, and main concern, consists in stressing that the explanatory factor to be captured in scientific knowledge of a given explanandum is such that cannot be otherwise. (shrink)

[[THIS IS THE COMPLETE FIRST ISSUE OF MΕTASCIENCE]] -/- This inaugural issue of the journal Mεtascience is also a special issue since it pays tribute to Mario Bunge (1919-2020) to high light his contribution to knowledge and our filiation with his thought. Mario Bunge's project is part of the humanist and scientific tradition of the Enlightenment. At the end of his intellectual journey, he wrote more than 150 books and 540 articles or chapters, including translations into several languages. (...) The work covers almost all branches of philosophy, from ontology to ethics, semantics, episte mology, methodology, praxeology and axiology, as well as a large number of scientific disciplines, ranging from physics to sociology, chemistry, biology and psychology. Without a doubt, Bunge's mag num opus is the Treatise on Basic Philosophy in nine volumes (1974- 1989). The six contributions gathered here come from authors from differ ent backgrounds. Like Bunge's project, they are neither part of the an alytic or continental movement in philosophy. The reader will find studies on the Bungean system, applications of Bungean thought, re flections and testimonies, and metascientific contributions. From the point of view of metascience as theorized in these pages, Bunge is the last of the philosophers and the first metascientific. He kept from philosophy the idea of a complete system that would inte grate semantics, ontology, epistemology, ethics, axiology and praxe ology, but he refused to problematize scientific knowledge in a tradi tional way. The result is surprising: even by accepting science as it is, he finds room for questioning. May Mεtascience be a place of questioning and deployment of the approach designed by Mario Bunge. (shrink)

The aim of this study was to identify the obstacles facing the application of knowledge management and its impact on performance at Palestine Technical University-Kadoorei from the point of view of employees and to detect the differences between the average views of the study sample on the subject of the study according to some variables such as (gender, nature of work, Education Level, specialization, years of experience). The study followed the descriptive analytical method and the questionnaire as a tool (...) for study. It was distributed to 74 employees. After the questionnaire was distributed, the data was collected and coded and entered into the computer and processed statistically using the SPSS program. The study found that the percentage of approval of the obstacles to the application of knowledge management at Palestine Technical University-Kadoorei differed between few and large, and the relative weight of the axis was complete (68.2). The degree of awareness of the workers of the reality of performance excellence at the University of Palestine Technical-Kadoorei was between medium and very large. There is an impact of the constraints of the application of knowledge management on performance excellence at Palestine Technical University-Kadoorei. In light of the results of the previous study, the researchers recommended that the importance of knowledge management should be taken into account in order to raise the university's reputation and reputation at home and abroad and improve its services to students and the local community. And to promote the exchange of experiences and knowledge with local, regional and international universities in order to enhance the knowledge and preserve it and provide modern and sophisticated scientific techniques and use them in administrative and academic work at the university. (shrink)

Kuhn (1962) proposed an evolutionary model to explain how scientific knowledge is built, based on the concept of paradigm. Even though Kuhn’s model is general, it has been applied to only a few topics in evolutionary biology, almost exclusively to broad-based paradigms. We analyze here, through the lens of Kuhn’s theory, a small-scale paradigm change that occurred with the resolution of the controversy about the mating system of a Mediterranean shrub Phillyrea angustifolia (Oleaceae). We first summarize the different (...) steps of the paradigm change and replace them in the more general context of sex ratio theory. Second, we show how the different steps of the paradigm change can be interpreted by Kuhnian concepts and tools. Finally, we discuss the actual and future status of the new paradigm. (shrink)

From the Scientific Revolution to the present era, the natural sciences have developed remarkably and recorded colossal success in different areas such as genetic engineering, cloning, hybrid technology, health and food technologies, space travel, audio-visual technology, among others. These evidences are indications of the growth of scientific knowledge. Accordingly, this paper raises the question of what is responsible for the growth of scientific knowledge. Inherent in this question is the pool of diverse conceptions of what (...) the nature and method of science is. Consequently, some significant contours in the construct of the problem of demarcation will be imported into this discourse as a means of assembling some pivotal conceptions of the growth of scientific knowledge. With this, the paper aims to consider Karl Popper’s fundamental conception of the growth of scientific knowledge and its associated criticisms, and from it, attempt to respond to the question of what is responsible for the growth of scientific knowledge. This will help to eliminate the confusion and complications surrounding the growth of scientific knowledge. (shrink)

We introduce the notion of complexity, first at an intuitive level and then in relatively more concrete terms, explaining the various characteristic features of complex systems with examples. There exists a vast literature on complexity, and our exposition is intended to be an elementary introduction, meant for a broad audience. -/- Briefly, a complex system is one whose description involves a hierarchy of levels, where each level is made of a large number of components interacting among themselves. The time (...) evolution of such a system is of a complex nature, depending on the interactions among subsystems in the next level below the one under consideration and, at the same time, conditioned by the level above, where the latter sets the context for the evolution. Generally speaking, the interactions among the constituents of the various levels lead to a dynamics characterized by numerous characteristic scales, each level having its own set of scales. What is more, a level commonly exhibits ‘emergent properties’ that cannot be derived from considerations relating to its component systems taken in isolation or to those in a different contextual setting. In the dynamic evolution of some particular level, there occurs a self-organized emergence of a higher level and the process is repeated at still higher levels. -/- The interaction and self-organization of the components of a complex system follow the principle commonly expressed by saying that the ‘whole is different from the sum of the parts’. In the case of systems whose behavior can be expressed mathematically in terms of differential equations this means that the interactions are nonlinear in nature. -/- While all of the above features are not universally exhibited by complex systems, these are nevertheless indicative of a broad commonness relative to which individual systems can be described and analyzed. There exist measures of complexity which, once again, are not of universal applicability, being more heuristic than exact. The present state of knowledge and understanding of complex systems is itself an emerging one. Still, a large number of results on various systems can be related to their complex character, making complexity an immensely fertile concept in the study of natural, biological, and social phenomena. -/- All this puts a very definite limitation on the complete description of a complex system as a whole since such a system can be precisely described only contextually, relative to some particular level, where emergent properties rule out an exact description of more than one levels within a common framework. -/- We discuss the implications of these observations in the context of our conception of the so-called noumenal reality that has a mind-independent existence and is perceived by us in the form of the phenomenal reality. The latter is derived from the former by means of our perceptions and interpretations, and our efforts at sorting out and making sense of the bewildering complexity of reality takes the form of incessant processes of inference that lead to theories. Strictly speaking, theories apply to models that are constructed as idealized versions of parts of reality, within which inferences and abstractions can be carried out meaningfully, enabling us to construct the theories. -/- There exists a correspondence between the phenomenal and the noumenal realities in terms of events and their correlations, where these are experienced as the complex behavior of systems or entities of various descriptions. The infinite diversity of behavior of systems in the phenomenal world are explained within specified contexts by theories. The latter are constructs generated in our ceaseless attempts at interpreting the world, and the question arises as to whether these are reflections of `laws of nature' residing in the noumenal world. This is a fundamental concern of scientific realism, within the fold of which there exists a trend towards the assumption that theories express truths about the noumenal reality. We examine this assumption (referred to as a ‘point of view’ in the present essay) closely and indicate that an alternative point of view is also consistent within the broad framework of scientific realism. This is the view that theories are domain-specific and contextual, and that these are arrived at by independent processes of inference and abstractions in the various domains of experience. Theories in contiguous domains of experience dovetail and interpenetrate with one another, and bear the responsibility of correctly explaining our observations within these domains. -/- With accumulating experience, theories get revised and the network of our theories of the world acquires a complex structure, exhibiting a complex evolution. There exists a tendency within the fold of scientific realism of interpreting this complex evolution in rather simple terms, where one assumes (this, again, is a point of view) that theories tend more and more closely to truths about Nature and, what is more, progress towards an all-embracing ‘ultimate theory’ -- a foundational one in respect of all our inquiries into nature. We examine this point of view closely and outline the alternative view -- one broadly consistent with scientific realism -- that there is no ‘ultimate’ law of nature, that theories do not correspond to truths inherent in reality, and that successive revisions in theory do not lead monotonically to some ultimate truth. Instead, the theories generated in succession are incommensurate with each other, testifying to the fact that a theory gives us a perspective view of some part of reality, arrived at contextually. Instead of resembling a monotonically converging series successive theories are analogous to asymptotic series. -/- Before we summarize all the above considerations, we briefly address the issue of the complexity of the {\it human mind} -- one as pervasive as the complexity of Nature at large. The complexity of the mind is related to the complexity of the underlying neuronal organization in the brain, which operates within a larger biological context, its activities being modulated by other physiological systems, notably the one involving a host of chemical messengers. The mind, with no materiality of its own, is nevertheless emergent from the activity of interacting neuronal assemblies in the brain. As in the case of reality at large, there can be no ultimate theory of the mind, from which one can explain and predict the entire spectrum of human behavior, which is an infinitely rich and diverse one. (shrink)

This article explains Kant’s claim that sciences must take, at least as their ideal, the form of a ‘system’. I argue that Kant’s notion of systematicity can be understood against the background of de Jong & Betti’s Classical Model of Science (2010) and the writings of Georg Friedrich Meier and Johann Heinrich Lambert. According to my interpretation, Meier, Lambert, and Kant accepted an axiomatic idea of science, articulated by the Classical Model, which elucidates their conceptions of systematicity. I show that (...) Kant’s critique of the mathematical method is compatible with his adherence to this axiomatic conception of science. I further show that systematicity furthers traditionally accepted logical ideals of scientific knowledge, which explains why Meier and Kant think that sciences must be ‘systematic’. (shrink)

This article reevaluates the historical conditions of the concomitant rise of computational systems and DNA-coding in the 1950s and addresses the implementation of behavioral psychology and cybernetic technologies of control after the Second World War. From this historical perspective, this article interrogates the intersectional relation that automatic systems of control share with models of segregation and structures of knowledge oppression. It engages with the work of French philosopher Gilbert Simondon and poses Simondon’s cybernetic theory as an opportunity (...) to question systems of knowledge imposed on ontological domains. Finally, it reveals how cybernetics reproduces a model of cultural understanding based on exclusion/inclusion and addresses the difficulty of creating new critical paradigms from within the informational technologies of neo-colonial episteme. -/- Too often, technologies of scientific knowledge such as machine learning and informational networks are used as alibi for the imple- mentation of neo-colonial values that dictate the epistemological trajectory of societies. Scientific projects that, for example, promote the testing of pharmaceuticals on individuals in third world countries privilege beings based on categorical understandings of race, class, gender, and ability. Such projects not only legitimize structural hierarchies among subjects, as seen in the use of cephalometric technologies in imperial systems of exploration; they also sustain the cultural framework of values that segregate collective beings on a global scale. (shrink)

In this paper we propose an informal exposition of the structure approach in the philosophy of science. Scientific knowledge is here considered as a collection of scientific theories. Each scientific theory has logico-linguistic, model-representing, pragmatic-procedural, and problem-heuristical subsystems and a subsystem of ties. The pivotal methodological concept for the exact description of these subsystems is the named set. We also outline the possibility of applying the structure-nominative approach to certain problems in the philosophy of science.

In his Posterior Analytics Aristotle confronted a problem that threatened his vision of scientific knowledge as an axiomatic system: if scientific knowledge is demonstrative in character, and if the axioms of a science cannot themselves be demonstrated, then the most basic of all scientific principles will remain unknown. In the famous concluding chapter of this work (II 19), he claimed to solve this problem by distinguishing two kinds of knowledge: we cannot have epistêmê of (...) the first principles, but we can have nous of them. This ‘solution’ has struck many students of his thought as hopelessly ad hoc and unpersuasive. And nowhere is Aristotle less persuasive than when he appeals to a faculty of intuition or a priori insight which arrives on the scene precisely when it is most needed. I defend Aristotle’s account by showing how nous is not properly characterized as a faculty of intuition which operates independently of sense experience. Rather, nous is a kind of knowledge that is available to us whenever our mind advances from the perception of particular individuals to grasp the relevant universal concept or general principle. (shrink)

The paper explicates the stages of the author’s philosophical evolution in the light of Kopnin’s ideas and heritage. Starting from Kopnin’s understanding of dialectical materialism, the author has stated that category transformations of physics has opened from conceptualization of immutability to mutability and then to interaction, evolvement and emergence. He has connected the problem of physical cognition universals with an elaboration of the specific system of tools and methods of identifying, individuating and distinguishing objects from a scientific theory domain. (...) The role of vacuum conception and the idea of existence (actual and potential, observable and nonobservable, virtual and hidden) types were analyzed. In collaboration with S.Crymski heuristic and regulative functions of categories of substance, world as a whole as well as postulates of relativity and absoluteness, and anthropic and self-development principles were singled out. Elaborating Kopnin’s view of scientific theories as a practically effective and relatively true mapping of their domains, the author in collaboration with M. Burgin have originated the unified structure-nominative reconstruction (model) of scientific theory as a knowledge system. According to it, every scientific knowledge system includes hierarchically organized and complex subsystems that partially and separately have been studied by standard, structuralist, operationalist, problem-solving, axiological and other directions of the current philosophy of science. 1) The logico-linguistic subsystem represents and normalizes by means of different, including mathematical, languages and normalizes and logical calculi the knowledge available on objects under study. 2) The model-representing subsystem comprises peculiar to the knowledge system ways of their modeling and understanding. 3) The pragmatic-procedural subsystem contains general and unique to the knowledge system operations, methods, procedures, algorithms and programs. 4) From the viewpoint of the problem-heuristic subsystem, the knowledge system is a unique way of setting and resolving questions, problems, puzzles and tasks of cognition of objects into question. It also includes various heuristics and estimations (truth, consistency, beauty, efficacy, adequacy, heuristicity etc) of components and structures of the knowledge system. 5) The subsystem of links fixes interrelations between above-mentioned components, structures and subsystems of the knowledge system. The structure-nominative reconstruction has been used in the philosophical and comparative case-studies of mathematical, physical, economic, legal, political, pedagogical, social, and sociological theories. It has enlarged the collection of knowledge structures, connected, for instance, with a multitude of theoreticity levels and with an application of numerous mathematical languages. It has deepened the comprehension of relations between the main directions of current philosophy of science. They are interpreted as dealing mainly with isolated subsystems of scientific theory. This reconstruction has disclosed a variety of undetected knowledge structures, associated also, for instance, with principles of symmetry and supersymmetry and with laws of various levels and degrees. In cooperation with the physicist Olexander Gabovich the modified structure-nominative reconstruction is in the processes of development and justification. Ideas and concepts were also in the center of Kopnin’s cognitive activity. The author has suggested and elaborated the triplet model of concepts. According to it, any scientific concept is a dependent on cognitive situation, dynamical, multifunctional state of scientist’s thinking, and available knowledge system. A concept is modeled as being consisted from three interrelated structures. 1) The concept base characterizes objects falling under a concept as well as their properties and relations. In terms of volume and content the logical modeling reveals partially only the concept base. 2) The concept representing part includes structures and means (names, statements, abstract properties, quantitative values of object properties and relations, mathematical equations and their systems, theoretical models etc.) of object representation in the appropriate knowledge system. 3) The linkage unites a structures and procedures that connect components from the abovementioned structures. The partial cases of the triplet model are logical, information, two-tired, standard, exemplar, prototype, knowledge-dependent and other concept models. It has introduced the triplet classification that comprises several hundreds of concept types. Different kinds of fuzziness are distinguished. Even the most precise and exact concepts are fuzzy in some triplet aspect. The notions of relations between real scientific concepts are essentially extended. For example, the definition and strict analysis of such relations between concepts as formalization, quantification, mathematization, generalization, fuzzification, and various kinds of identity are proposed. The concepts «PLANET» and «ELEMENTARY PARTICLE» and some of their metamorphoses were analyzed in triplet terms. The Kopnin’s methodology and epistemology of cognition was being used for creating conception of the philosophy of law as elaborating of understanding, justification, estimating and criticizing legal system. The basic information on the major directions in current Western philosophy of law (legal realism, feminism, criticism, postmodernism, economical analysis of law etc.) is firstly introduced to the Ukrainian audience. The classification of more than fifty directions in modern legal philosophy is suggested. Some results of historical, linguistic, scientometric and philosophic-legal studies of the present state of Ukrainian academic science are given. (shrink)

The conception that the world can be represented as a system of levels of being can be traced back to the beginnings of European philosophy and has lost little of its plausibility in the meantime. One of the important modern conceptions of levels was developed by Nicolai Hartmann. It exhibits remarkable similarities and contrasts with the classification of the real developed by Werner Heisenberg in his paper Ordnung der Wirklichkeit (Order of Reality). In my contribution I will introduce these two (...) conceptions of levels and compare their salient features. I will discuss them as variants of a scientific worldview that attempts to forge a link to the perspective of the lifeworld. Then I will go on to argue that the shortcomings of these conceptions can be remedied by extending them with the level of the very small and that of the very large. The introduction of these ontologically fundamental levels is based on scientific knowledge that for the most part eludes he intuitively representable character of lifeworld experience. Historical changes in science and the lifeworld could lead to the notion that reality can be represented as a system of levels being challenged in future. (shrink)

The concept of fields available in physics will be considered for application to unravel the mysteries of form, structure and function of human consciousness and mind. The sameness of functions of human consciousness and mind in language acquisition and communication and also acquiring knowledge of various kinds and its will be discussed. In the light of this the limitations of concepts of pure physics and modern physics probes will be discussed. -/- The information and ideas available in the Upanishads (...) in the form of Brahmajnaana will be applied to understand the physical nature of human consciousness and mind and their functions. This information and translation into modern and cognitive scientific terms would be correlated with brainwaves concept of modern physiology. The physiochemical, physical and chemical natures of experiences, purport, meanings, ideas, thoughts and expressions will be presented based on Upanishadic insight thus acquired. The advantage of this alternative probe, method and model to understand the functions of human consciousness and mind will be demonstrated. -/- This model of human consciousness and mental functions is also correlated to brain wave EEG frequency changes. -/- . (shrink)

Eetu Pikkarainen describes the educational thinking of Johann AmosComenius (1592-1670) from a perspective of Bildung -theoretical problems. Comenius has had a remarkable influence on modern education, particularly through his language-learning and general didactical methods and principles. However, Comenius’ broader pansophic views have had somewhat more benign later effects. Comenius developed a reformation programme concerning the ‘main areas’ of reality, from theology and education to philosophy and language to social questions and world peace. This program has important connections to the modern (...) theories of Bildung. Comenius connects individual human growth with global issues such as the growth of scientific knowledge, the justice of political systems, and world peace. In his philosophy, Comenius strongly criticises the problems of the rising modern thinking such as trapping to dualisms. From that angle, Comenius appears an almost postmodern thinker with surprising similarity to the thoughts of C S Peirce. (shrink)

The new phase of science evolution is characterized by totality of subject and object of cognition and technology (high-hume). As a result, forming of network structure in a disciplinary matrix modern are «human dimensional» natural sciences and two paradigmal «nuclei» (attraktors). As a result, the complication of structure of disciplinary matrix and forming a few paradigm nuclei in modern «human dimensional» natural sciences are observed. In the process of social verification integration of scientific theories into the existent system of (...) mental and valued options of spiritual culture takes place. The attribute of classical science – ethics neutrality of scientific knowledge becomes an unattainable ideal. One of the trends in the evolution of theoretical epistemology is the study of migration mechanisms of generation of scientific knowledge from the sphere of its own logic and methodology of science in the field of sociology - the consideration of this process, as the resulting system of interactions of social structures and institutions. Ensuing ideas and settings become the dominant worldview of philosophical and technological civilization. -/- . (shrink)

All research is immersed in the competition for knowledge, but this is not always governed by fairness. In this opinion article, I elaborate on indicators of unfairness to be found in both evaluation guides and evaluation panels, and I spontaneously offer a number of rules of thumb meant to keep it at bay. Although they are explicitly offered to the Portuguese Foundation for Science and Technology (FCT) and in particular to the evaluation panel for Philosophy, Ethics and Religion of (...) FCT's fifth edition of their Individual Call to Scientific Employment Stimulus, here used as concrete illustrations of unfairness, my rules of thumb are guaranteed to promote fairness in the competition for knowledge in general. (shrink)

The aim of the paper is to give a description of the development of understanding scientific method in the history of science and philosophy of science. The thesis is defended that crucial changes in understanding scientific method had fundamental consequences for the development in scientific knowledge, for the position of science in the system of knowledge and for its role in human culture. Basic attitudes to scientific method in contemporary philosophy and philosophy of science (...) are shortly outlined and the rationality of scientific method is defended. (shrink)

REVIEW (1): "Jeff Kochan’s book offers both an original reading of Martin Heidegger’s early writings on science and a powerful defense of the sociology of scientific knowledge (SSK) research program. Science as Social Existence weaves together a compelling argument for the thesis that SSK and Heidegger’s existential phenomenology should be thought of as mutually supporting research programs." (Julian Kiverstein, in Isis) ---- REVIEW (2): "I cannot in the space of this review do justice to the richness and range (...) of Kochan's discussion [...]. There is a great deal in this foundational portion of Kochan's discussion that I find tremendously interesting and engaging [...]." (David R. Cerbone, in Studies in History and Philosophy of Science) ---- REVIEW (3): "Science as Social Existence will be of interest not only to Heidegger scholars but to anyone engaged in science and technology studies. [...] This is an informative and original book. Kochan should be praised for his clear, pleasant-to-read prose." (Michael Butler, in CHOICE). (shrink)

The resercher Ann Talbot presents in this book one of the more complex and in-depth studies ever written about the influence of travel literature on the work of the British philospher John Locke (1632-1704). At the end of the 18th century the study of travel literature was an alternative to academic studies. The philosopher John Locke recommended with enthousiasm these books as a way to comprehend human understanding. Several members of the Royal Society like John Harris (1966-1719) affirmed that the (...) learning that could be obtained through these books was different from the one that provided the educative system of that time. Travel literature could make see the source of the ignorance of the ancients; it stressed the curiosities and extraordinary facts and led to a revision of beliefs and scientific theories of the ancient world. Besides the account of a broad diversity of sujects contributed to the creation of matters of fact, and this was important in order to put rational limits to the descriptions of the world that were commonly accepted. (shrink)

Great religions to pragmatic capacities sporadically abound in the stories of supernatural phenomena which subsumes telepathy, clairvoyance and precognition. However, unfortunately treated as the topics of spiritualism, witchcraft and edification, not the materials of Scientific Enquiry. Whatsoever, have been deciphered about these queer speculations, the most prevalent sole concept is : namely, that there can be senseexperiences from the realm which is not accessible to human brain and sense organs. Possessor of these senses which are not currently accessible to (...) average humans can be a omniscient being tapping to his full potential. Presently, we have no language or any communication system to describe them intelligibly. When inquiring about these affairs we cannot avoid absurdity as presently we lack any linguistic convention on it. Our linguistic convention is derived from the physical world in which the supernatural is not considered as "Normal". It is considerably strained with "Abnormality" in the first place. My aim in this paper is to reconcile this Orthodox Psychology with Science and Philosophy which certainly appears conflicting. This inquiry leads me to enable the 10 percent brain myth. (shrink)

The Relationship Between Language, Mathematics, Information, Knowledge, and New Discoveries in Understanding the Nature of Consciousness -/- Introduction -/- The nature of consciousness has long been a subject of philosophical and scientific inquiry. As human intelligence evolved, the invention of language, mathematics, and information systems became fundamental tools in shaping how we perceive and understand reality. These intellectual advancements not only reflect consciousness but also influence its development. By examining the interplay between language, mathematics, information, knowledge, (...) and new discoveries, we can gain deeper insight into how consciousness emerges, evolves, and expands. -/- Language: The Foundation of Conscious Thought -/- Language is the primary medium through which consciousness expresses itself. It allows individuals to articulate thoughts, share experiences, and construct complex ideas. Without language, higher-order thinking and self-reflection would be severely limited. -/- 1. Language and Self-Awareness – Internal dialogue, or the “voice in our head,” is a critical component of consciousness. It enables introspection, planning, and the ability to reflect on past experiences. -/- 2. Language and Social Consciousness – Through shared language, individuals contribute to collective intelligence. Cultural knowledge, traditions, and ideologies are preserved and transmitted across generations. -/- 3. Language and Abstract Thinking – Words enable humans to discuss non-physical concepts such as justice, morality, and the nature of existence, expanding the boundaries of conscious thought. -/- As language evolves, so does consciousness, leading to new ways of perceiving and interpreting reality. -/- Mathematics: The Language of Patterns and Conscious Awareness -/- Mathematics is often described as a universal language that reveals the underlying order of the universe. It provides structure to human cognition and enhances our ability to predict, measure, and manipulate reality. -/- 1. Mathematics and Logical Thought – Mathematical reasoning mirrors the logical structures of conscious thought. It allows for problem-solving, abstraction, and deductive reasoning. -/- 2. Mathematics and Scientific Discovery – From physics to neuroscience, mathematical models describe the fundamental principles governing existence, furthering our understanding of consciousness itself. -/- 3. Mathematics and Artificial Intelligence – The development of AI and machine learning relies on mathematical principles, raising questions about whether artificial systems can achieve a form of consciousness. -/- If consciousness operates under universal laws, mathematics may be the key to deciphering its principles. -/- Information and Knowledge: The Evolution of Consciousness -/- Information is the raw material from which knowledge is constructed. The accumulation, processing, and application of information drive the expansion of consciousness. -/- 1. Memory and Learning – The ability to store and recall information enhances cognitive abilities, shaping an individual’s awareness of the world. -/- 2. Collective Intelligence – The sharing of information across societies leads to cultural evolution, technological advancements, and the refinement of knowledge. -/- 3. External Storage of Consciousness – Books, digital databases, and AI systems act as extensions of human consciousness, preserving and expanding knowledge beyond biological limitations. -/- The more information consciousness can process, the more it expands its awareness and potential for discovery. -/- New Discoveries: The Feedback Loop of Expanding Consciousness -/- Scientific and philosophical discoveries continuously reshape how consciousness understands itself and the universe. Each breakthrough: -/- 1. Expands Perception – Tools like microscopes and telescopes extend human awareness beyond natural sensory limitations. -/- 2. Challenges Established Beliefs – Paradigm shifts force consciousness to adapt to new realities, redefining truth and understanding. -/- 3. Integrates Technology and Consciousness – Advancements in neuroscience, quantum mechanics, and artificial intelligence suggest that consciousness may be an emergent phenomenon shaped by computational and environmental factors. -/- The cycle of discovery feeds back into language, mathematics, and knowledge, leading to new levels of understanding and further expanding consciousness. -/- Conclusion: Consciousness as a Self-Perpetuating System -/- The relationship between language, mathematics, information, knowledge, and discovery forms a self-reinforcing loop that drives the evolution of consciousness. Each component influences and strengthens the others, creating a dynamic system of intellectual and cognitive growth. -/- Language provides structure for thought and communication. -/- Mathematics reveals underlying patterns of reality and enhances logical reasoning. -/- Information and knowledge serve as the building blocks of learning and awareness. -/- New discoveries expand the limits of consciousness, redefining human potential. -/- If consciousness operates under natural laws, this interconnected system may represent the fundamental process by which awareness evolves. The more humanity advances in these areas, the more profound our understanding of consciousness—and reality itself—becomes. -/- . (shrink)

Book review of: Jeff Kochan (2017). Science as Social Existence: Heidegger and the Sociology of Scientific Knowledge (Cambridge UK: Open Book Publishers).