Philosophical pragmatism provides a theory and practical guidance for engaged philosophy. The movement to apply philosophy to real-world problems gained traction in the 1970s and has become an important area of philosophical inquiry. Applied philosophy draws connections between philosophical principles and real-life problems. This has been a valuable methodology for many purposes, and it especially serves the purposes of philosophers. Unfortunately, it often starts from existing frameworks or principles that are recognized by philosophers but does not start from real-life problems (...) as they are experienced by people. Indeed, sometimes people observe miscommunication and disconnections but are not clear what the source of the problem is. Identifying the nature of a social problem from the perspective of the people who deal with it is a large part of what is required to then analyze the problem philosophically. This requires communicating directly with practitioners, policymakers, and researchers in the field at issue. Paul Thompson’s engaged philosophical approach to agricultural ethics demonstrates the diversity of philosophical activities that are required to accomplish this goal, and it is rooted in pragmatism. Engaged philosophy is more expansive than applied philosophy because it serves many functions and the frameworks produced are emergent rather than prescribed. Engaged philosophy offers an implicit critique of contemporary norms of applied philosophical practice, and it opens up creative opportunities for philosophers to engage in real-life problem solving. This essay traces Paul Thompson’s strategies for engaged philosophy and their relation to pragmatism. (shrink)

Problem Solving Technologies provides a user friendly understanding of technological objects including what they are and how the function in our lives.

This timely volume explores pressing questions that relate to democracy and the politics of knowledge, in a dialogue based on developing and applying philosophies that stress the importance of dialogue, democracy and criticism.

Integrative systems biology is an emerging field that attempts to integrate computation, applied mathematics, engineering concepts and methods, and biological experimentation in order to model large-scale complex biochemical networks. The field is thus an important contemporary instance of an interdisciplinary approach to solving complex problems. Interdisciplinary science is a recent topic in the philosophy of science. Determining what is philosophically important and distinct about interdisciplinary practices requires detailed accounts of problem-solving practices that attempt to understand how specific (...) practices address the challenges and constraints of interdisciplinary research in different contexts. In this paper we draw from our 5-year empirical ethnographic study of two systems biology labs and their collaborations with experimental biologists to analyze a significant problem-solving approach in ISB, which we call adaptive problem solving. ISB lacks much of the methodological and theoretical resources usually found in disciplines in the natural sciences, such as methodological frameworks that prescribe reliable model-building processes. Researchers in our labs compensate for the lack of these and for the complexity of their problems by using a range of heuristics and experimenting with multiple methods and concepts from the background fields available to them. Using these resources researchers search out good techniques and practices for transforming intractable problems into potentially solvable ones. The relative freedom lab directors grant their researchers to explore methodological options and find good practices that suit their problems is not only a response to the complex interdisciplinary nature of the specific problem, but also provides the field itself with an opportunity to discover more general methodological approaches and develop theories of biological systems. Such developments in turn can help to establish the field as an identifiably distinct and successful approach to understanding biological systems. (shrink)

A paradigm instructs in how to do research successfully. Analytic philosophy of science, currently dominant, models paradigmatic rational science as a system of logical inferences. It is, however, an abundantly inadequate paradigm. This paper presents an alternative paradigm: science as an organized collection of problem solving processes. This position is backed, on the one side, by a cognitive model of problem solving process applicable to all problem solving circumstances and, on the other, by a (...) non-formal conception of rationality that provides a wider enriched notion of rational research process than is available to the analytic paradigm. The result is a very different way of looking at science and of doing history and philosophy of science. The position is developed sufficiently to display its nature and merits. (shrink)

Sign-theoretical concepts have been used in research into the nature of living systems, not only by biologists, semioticians, and philosophers, but also by scientists who analyze organisms from the perspective of Decision Theory. Decision Theory (DT) describes both the external behavior and the internal information-processing of any kind of agent in terms of problem solving. Such “problem solving” is considered a complex process of: (1) defining a goal in an environment, (2) selecting the means to reach (...) the defined goal, and (3) controlling the effects of said selected means on the environment. The hypothesis that problem-solving agents are, first, physical entities and, second, sign-using systems is one of the most influential ideas in Decision Theory. This idea has been developed under the name of the ‘Physical Symbol System Hypothesis’ (PSSH) since the 1950s, particularly by two American scientists, Allen Newell and Herbert A. Simon, who did interdisciplinary research in cognitive science, artificial intelligence, economics, and decision theory. This paper first gives a short overview of the basic semiotic theory that underlies Newell’s and Simon’s work, and then offers some ideas on a specifically biosemiotic use of the Physical SymbolSystem Hypothesis. (shrink)

A survey of popular textbooks and websites on philosophy produces a ­remarkable consensus on the great problems facing philosophers from ­ancient to modern times. They typically include metaphysics - what is there?, the problem of knowledge - how do we know what exists?, the mind/body problem - can an immaterial mind move the material body?, the “hard problem” of consciousness, freedom of the will, theories of ethics - is there an objective universal Good?, and problems from theology (...) - does God exist?, is God responsible for evil? This book introduces the Information Philosopher website, a work in progress on several classic questions in philosophy that ­logical positivists and analytic language philosophers thought they could ­­dis-solve as logical puzzles, pseudo-problems, or conceptual errors. (shrink)

Rather than being random deviation, student errors can be a source of insight into the nature of student difficulties. This paper reports on (and offers pedagogical advice concerning) many common student errors in the construction of proofs, in the application of inference and replacement rules, and in the choice of proof strategies. In addition, a detailed description of the bottom-up strategy for “working backwards” is supplied, along with a discussion of the main difficulties students face when trying to solve proofs (...) in this fashion. Ultimately, it is argued that students can employ both top-down and bottom-up proofs strategies by making use of a graphic proof representation. (shrink)

This paper reports on a study that was conducted on the effects of training students in specific strategic and meta-cognitive questioning strategies on the development of reasoning, problem-solving, and learning during cooperative inquiry-based science activities. The study was conducted in 18 sixth grade classrooms and involved 35 groups of students in three conditions: the cognitive questioning condition; the Philosophy for Children condition; and the comparison condition. The students were videotaped as they worked on a specific inquiry-science task once (...) each term for two consecutive school terms. The results show that the students in all conditions demonstrated more helping discourses or discourses known to mediate learning than any other of the discourse categories. This outcome is encouraging because it is the helping discourses where students provide explanations, elaborations, and reasons that promote follow-up learning. (shrink)

The general thesis that science is essentially a problem-solving activity is extended to the development of new fields. Their development represents a research strategy for generating and solving new unsolved problems and solving existing ones in related fields. The pattern of growth of new fields is guided by the central problems within the field and applicable problems in other fields. Proponents of existing research traditions welcome work in new fields, if they believe it will increase the (...) problem-solving effectiveness of their tradition. Correspondingly, researchers in new fields will graft their work onto established traditions, if they believe it will augment the problem-solving effectiveness of their work. The above claims are defended through using the development of paleomagnetism as a case study. (shrink)

Consensus plays an ambiguous role in deliberative democracy. While it formed the horizon of early deliberative theories, many now denounce it as an empirically unachievable outcome, a logically impossible stopping rule, and a normatively undesirable ideal. Deliberative disagreement, by contrast, is celebrated not just as an empirically unavoidable outcome but also as a democratically sound and normatively desirable goal of deliberation. Majority rule has generally displaced unanimity as the ideal way of bringing deliberation to a close. This article offers an (...) epistemic perspective on this question of consensus versus disagreement. For ensuring the production of better decisions, we argue, the normative appeal of consensus varies depending on the deliberative task – whether it entails problem solving or prediction. We argue that in pure problem-solving contexts, consensus retains a strong normative appeal and forms the ideal deliberative outcome of deliberation. In contrast, on predictive tasks, consensus should generally not be used as a stopping rule noris it likely to be epistemically desirable as an outcome. Instead deliberators may be better served by ending the deliberation with a form of deliberative disagreement we call ‘positive dissensus’, which paves the way for more accurate aggregate predictions. (shrink)

This timely volume explores pressing questions that relate to democracy and the politics of knowledge, in a dialogue based on developing and applying philosophies that stress the importance of dialogue, democracy and criticism.

The philosophical bases underlying methodological and decision-making processes for environmental issues are rarely questioned, and yet have important consequences. What commonly results is that first order solutions are technical ways of addressing problems which limit human relation to nature. Martin Heidegger’s phenomenology makes a distinction between “thatness” and “whatness.”“What a thing is” is depicted by modern science with “being as continual presence.” “That a thing is” refers to nature’s capacity for disclosure and withdrawal, that being is both “presence and absence.” (...) This essay evaluates thepragmatic prospects of heightening an approach on the “thatness” of nature. (shrink)

There are two opposed theories which attempt to account for the processes of problem solution involved in learning and intelligence. The former is neural in its basis and postulates the existence of a bare connection as a bonding or linkage of two experiences. The second theory, that of gestalt, implies that learning or apprehension involves a relationship of the parts of the experience to each other as well as to the whole. While these psychological schools are exclusive of and (...) opposed to each other, yet they are merely extremes of what actually exists. There is a minimum level of learning in which associationism is operative and a maximum intellectual level at which explicit relationships predominate. An examination of experimental results will show this to be the case. The results of conditioned reflex experiments in both animals and man appear to show that there is present nothing beyond arbitrary linkage or bonding between the parts of the situation involved. On the other hand, one finds a certain degree of implicit meaning involved in perceptual situations—the level of animal achievement—as well as a certain measure of transfer of meaning. Explicit meanings may be related by means of word symbols involving the principle of the concept through the medium of speech, and this is only arrived at by human beings. We may regard these higher levels as “emergents” from the level of bonding or linkage. (shrink)

Abstract:This essay responds to Patricia Werhane’s 1994 Ruffin Lecture address, “Moral Imagination and the Search for Ethical Decision-making in Management,” using institutional theory as an analytical framework to explore conditions that either inhibit or promote moral imagination in organizational problem-solving. Implications of the analysis for managing organizational change and for business ethics theory development are proposed.

Abstract:This essay responds to Patricia Werhane’s 1994 Ruffin Lecture address, “Moral Imagination and the Search for Ethical Decision-making in Management,” using institutional theory as an analytical framework to explore conditions that either inhibit or promote moral imagination in organizational problem-solving. Implications of the analysis for managing organizational change and for business ethics theory development are proposed.

In this paper the reader is asked to engage in some simple problem-solving in classical pure number theory and to then describe, on the basis of a series of questions, what it is like to solve the problems. In the recent philosophy of mind this “what is it like” question is one way of signaling a turn to phenomenological description. The description of what it is like to solve the problems in this paper, it is argued, leads to (...) several morals about the epistemology and ontology of classical pure mathematical practice. Instead of simply making philosophical judgments about the subject matter in advance, the exercise asks the reader to briefly engage in a mathematical practice and to then reflect on the practice. (shrink)

In order to solve problems, humans are able to synthesize apparently unrelated concepts, take advantage of serendipitous opportunities, hypothesize, invent, and engage in other similarly abstract and creative activities, primarily through the use of their visual systems. In _Scenario Visualization_, Robert Arp offers an evolutionary account of the unique human ability to solve nonroutine vision-related problems. He argues that by the close of the Pleistocene epoch, humans evolved a conscious creative problem-solving capacity, which he terms scenario visualization, that (...) enabled them to outlive other hominid species and populate the planet. Arp shows that the evidence for scenario visualization -- by which images are selected, integrated, and then transformed and projected into visual scenarios -- can be found in the kinds of complex tools our hominid ancestors invented in order to survive in the ever-changing environments of the Pleistocene world. Arp also argues that this conscious capacity shares an analogous affinity with neurobiological processes of selectivity and integration in the visual system, and that similar processes can be found in the activities of organisms in general. The evolution of these processes, he writes, helps account for the modern-day conscious ability of humans to use visual information to solve nonroutine problems creatively in their environments. Arp's account of scenario visualization and its emergence in evolutionary history suggests an answer to two basic questions asked by philosophers and biologists concerning human nature: why we are unique; and how we got that way. Robert Arp is Postdoctoral Research Fellow at the National Center for Biomedical Ontology. His areas of specialization include philosophy of biology and philosophy of mind. He is the author of numerous articles and the forthcoming An Integrated Approach to the Philosophy of Mind. (shrink)

Scientists often reach provisional agreement solutions to problems central to their disciplines, whereas philosophers do not. Although philosophy has been practiced by outstanding intellects for over two thousand years, philosophers have not reached agreement, provisional or otherwise, on the solution or dissolution of any central philosophical problem by philosophical methods. What about philosophy’s future? Until about 1970, philosophers were generally optimistic. Some pinned their hopes on revolution in methodology, others on reform of practice. The case for gradual reform still (...) finds articulate advocates in philosophers like Michael Dummett and Timothy Williamson, but many philosophers today suspect that perennial disagreement may be inescapable. I consider three explanations for the inescapability of perennial disagreement—Richard Rorty’s relativism, Colin McGinn’s skepticism, and Nicholas Rescher’s pluralism—and find each wanting. I argue that a better explanation is the resistance of philosophers to commit, as scientists do, to formulating testable theories and collecting data to help decide between competing theories. I close by proposing that experimental philosophy, a movement still in its infancy, holds the promise of reuniting philosophy with science and moving philosophers closer to agreement on the solution of its central problems. (shrink)

Following Marr’s famous three-level distinction between explanations in cognitive science, it is often accepted that focus on modeling cognitive tasks should be on the computational level rather than the algorithmic level. When it comes to mathematical problem solving, this approach suggests that the complexity of the task of solving a problem can be characterized by the computational complexity of that problem. In this paper, I argue that human cognizers use heuristic and didactic tools and thus (...) engage in cognitive processes that make their problem solving algorithms computationally suboptimal, in contrast with the optimal algorithms studied in the computational approach. Therefore, in order to accurately model the human cognitive tasks involved in mathematical problem solving, we need to expand our methodology to also include aspects relevant to the algorithmic level. This allows us to study algorithms that are cognitively optimal for human problem solvers. Since problem solving methods are not universal, I propose that they should be studied in the framework of enculturation, which can explain the expected cultural variance in the humanly optimal algorithms. While mathematical problem solving is used as the case study, the considerations in this paper concern modeling of cognitive tasks in general. (shrink)

According to the diversity-beats-ability theorem, groups of diverse problem solvers can outperform groups of high-ability problem solvers. We argue that the model introduced by Lu Hong and Scott Page is inadequate for exploring the trade-off between diversity and ability. This is because the model employs an impoverished implementation of the problem-solving task. We present a new version of the model which captures the role of ‘ability’ in a meaningful way, and use it to explore the trade-offs (...) between diversity and ability in scientific problem solving. (shrink)

A popular positivistic line of thinking seems to be cropping up again, declaring that the sciences are on the verge of a paradigmatic shift. One that will merge science and philosophy to finally answer all the great big questions once and for all. Questions such as What is life? What is consciousness? What makes individuals who they are? Why does our universe seem fine-tuned for our existence? How did it all begin? While such questions are undoubtedly important, the truth is, (...) they are essentially philosophical. That is to say, they escape the kind of exactness required of the hard sciences. The upshot is that they are at best only answerable to a limited extent, if they are even answerable at all. (shrink)

In this article, I explore a new reason in favor of precollegiate philosophy: It could help narrow the persistent gender disparity within the discipline. I catalog some of the most widely endorsed explanations for the underrepresentation of women in philosophy and argue that, on each hypothesized explanation, precollegiate philosophy instruction could help improve our discipline's gender balance. Explanations I consider include stereotype threat, gendered philosophical intuitions, inhospitable disciplinary environment, lack of same-sex role models for women students in philosophy, and conflicting (...) “schemas” for philosophy and femininity. I argue that, insofar as some combination of these hypothesized explanations accounts for some portion of the underrepresentation of women in philosophy, those of us concerned to make things better have reason to participate in and promote efforts to share philosophy with younger students. (shrink)

The present paper will summarise the methodology, the scientific outcomes, and the potential for generalisation of the model of a project that studied cohabitation between human inhabitants and liminal species (in the present case, corvids) in Tartu, Estonia, from October 2021 to July 2023, with a comparative field study in Paris, France. It will present the context and goals of using a semiotic model to map interspecific cohabitation, expose what kind of data can be used to feed the model in (...) a relevant way and how it was done in the case of this project. This paper will present how the model diagnosed issues in cohabitation, both from material nuisances and cultural aspects, insisting on the concept of “hostile minority” that emerged from the study. It will discuss the importance of problem-solving in interspecific cohabitation, what the model suggested regarding this aspect, how this tool can be generalised to a large variety of cases and why it should be used this way. (shrink)

A historical example is considered which conflicts with Laudan's Problem Solving Model [1981]. In the period 1840–85 chemists preferred a theory with 3 major conceptual problems (the Liebig Theory of Acids) to Lavoisier's which had only one major conceptual problem (why are the halogen hydrides acids?). The overall conceptual merits of Lavoisier's scheme have been revived in the modern Lux-Flood classification of Acids. Larry Laudan [1977], [1981] proposed a problem solving model of scientific rationality which (...) not only applied to global theories but, if one takes the final paragraph of his [1977] seriously, also applies to sub theories, auxiliary hypotheses and sub auxiliary hypotheses all the way down the line. (shrink)

The difference in formulation of the question of heredity on a different level of knowledge in Brno in the 1830s and after 1850 is discussed in this article. In order to solve the problem the most important source is forshown in the new philosophy of plant physiology and in physics. Mendel was pleased to have met excellent teachers of both these fields. This explanation is an example of Mirko Grmek's thesis: 'l'histoire des sciences est le laboratoire de l'épistomologie'.

According to the diversity-beats-ability theorem, groups of diverse problem solvers can outperform groups of high-ability problem solvers. We argue that the model introduced by Lu Hong and Scott Page is inadequate for exploring the trade-off between diversity and ability. This is because the model employs an impoverished implementation of the problem-solving task. We present a new version of the model that captures the role of ‘ability’ in a meaningful way, and we use it to explore the (...) trade-offs between diversity and ability in scientific problem solving. (shrink)

: This paper presents a method of moral problem solving in clinical practice that is inspired by the philosophy of John Dewey. This method, called "clinical pragmatism," integrates clinical and ethical decision making. Clinical pragmatism focuses on the interpersonal processes of assessment and consensus formation as well as the ethical analysis of relevant moral considerations. The steps in this method are delineated and then illustrated through a detailed case study. The implications of clinical pragmatism for the use of (...) principles in moral problem solving are discussed. (shrink)

This paper presents a preliminary analysis of homeopathy from the perspective of the demarcation problem in the philosophy of science. In this context, Popper, Kuhn and Feyerabend’s solution to the problem will be given respectively and their criteria will be applied to homeopathy, aiming to shed some light on the controversy over its scientific status. It then examines homeopathy under the lens of demarcation criteria to conclude that homeopathy is regarded as science by Feyerabend and is considered as (...) pseudoscience by Popper and Kuhn. By offering adequate tools for the analysis of the foundations, structure and implications of homeopathy, demarcation issue can help to clarify this medical controversy. The main argument of this article is that a final decision on homeopathy, whose scientific status changes depending on the criteria of the philosophers mentioned, cannot be given. (shrink)

A form of metaphysical humanism in the field of philosophy of technology can be defined as the claim that besides technologies’ physical aspects, purely human attributes are sufficient to conceptualize technologies. Metaphysical nonhumanism, on the other hand, would be the claim that the meanings of the operative words in any acceptable conception of technologies refer to the states of affairs or events which are in a way or another shaped by technologies. In this paper, I focus on the conception of (...) technologies as problem-solving physical instruments in order to study the debate between the humanist and the nonhumanist ways of understanding technologies. I argue that this conception commits us to a hybrid understanding of technologies, one which is partly humanist and partly nonhumanist. (shrink)