The scientific understanding of cognition and consciousness is currently hampered by the lack of rigorous and universally accepted definitions that permit comparative studies. This paper proposes new functional and un- ambiguous definitions for cognition and consciousness in order to provide clearly defined boundaries within which general theories of cognition and consciousness may be developed. The proposed definitions are built upon the construction and manipulation of reality representation, decision making and learning and are scoped in terms of an underlying logical structure. (...) It is argued that the presentation of reality also necessitates the concept of ab- sence and the capacity to perform transitive inference. Explicit predictions relating to these new definitions, along with possible ways to test them, are also described and discussed. (shrink)

In this brief commentary the author concentrates on the treatment perspectives of Mealey's model. The main weakness of the model is that it does not provide a satisfactory theoretical connection between treatment and different types of target behavior. Even within the primary-secondary distinction, there are large individual differences that should not be overlooked in the planning of treatment.

Selectionist evolutionary theory has often been faulted for not making novel predictions that are surprising, risky, and correct. I argue that it in fact exhibits the theoretical virtue of predictive capacity in addition to two other virtues: explanatory unification and model fitting. Two case studies show the predictive capacity of selectionist evolutionary theory: parallel evolutionary change in E. coli, and the origin of eukaryotic cells through endosymbiosis.

This book critically examines Freud's own detailed arguments for his major explanatory and therapeutic principles, the current neorevisionist versions of psychoanalysis, and the hermeneuticists' reconstruction of Freud's theory and therapy as an alternative to what they claim was a “scientistic” misconstrual of the psychoanalytic enterprise. The clinical case for Freud's cornerstone theory of repression – the claim that psychic conflict plays a causal role in producing neuroses, dreams, and bungled actions – turns out to be ill-founded for two main reasons: (...) Even if clinical data were valid, the method of free association has failed to support the psychoanalytic theory of unconscious motivation; Clinical data tend in any case to be artifacts of the analyst's self-fulfilling expectations, thus losing much of their evidential value. The hypothesis that psychoanalytic treatment is in reality a placebo poses a serious challenge to the assumption that insight is a key causal factor when therapy is successful. This challenge has yet to be met by psychoanalysts. Similar conclusions undermine the neorevisionist versions of psychoanalysis. The most influential hermeneuticists, on the other hand, are shown to have imposed an alien philosophy on psychoanalysis, partly through their reliance on gross misconceptions of the natural sciences. Karl Popper's criticism of the Freudian corpus as empirically untestable has misjudged its evidential weaknesses, which are more subtle. If there exists empirical evidence for the principal psychoanalytic doctrines, it cannot be obtained without well-designed extraclinical studies of a kind that have for the most part yet to be attempted. (shrink)

If we view the aim of feminist science as truthlikeness, instead of either absolute or relative truth, then we can explain the sense in which the feminist sciences bring an objective advance in knowledge without implicating One True Theory. I argue that a certain non-linguistic theory of truthlikeness is especially well-suited to this purpose and complements the feminist epistemologies of Harding, Haraway, and Longino.

This special issue for the Journal for General Philosophy of Science is devoted to exploring the impact and many ramifications of current research in evolutionary epistemology. Evolutionary epistemology is an inter- and multidisciplinary area of research that can be divided into two ever-inclusive research avenues. One research avenue expands on the EEM program and investigates the epistemology of evolution. The other research avenue builds on the EET program and researches the evolution of epistemology. Since its conception, EE has developed three (...) schools of thought: adaptationist, non-adaptationist, and applied EE. Although diverse in outlook and theoretical background, these research avenues and schools share the same agenda of understanding how knowledge evolves, and how it relates to the world. In this paper, we first explain wherefrom evolutionary epistemological schools of thought developed, and then we highlight current debates in EE by briefly reviewing the papers that form part of this special issue. (shrink)

In the epistemological tradition, there are two main interpretations of the semantic relation that an empirical theory may bear to the real world. According to realism, the theory-world relationship should be conceived as truth; according to instrumentalism, instead, it should be limited to empirical adequacy. Then, depending on how empirical theories are conceived, either syntactically as a class of sentences, or semantically as a class of models, the concepts of truth and empirical adequacy assume different and specific forms. In this (...) paper, we review two main conceptions of truth (one sentence-based and one model-based) and two of empirical adequacy (one sentence-based and one model-based), we point out their respective difficulties, and we give a first formulation of a new general view of the theory-world relationship, which we call Methodological Constructive Realism (MCR). We then show how the content of MCR can be further specified and expressed in a definite and precise form. The bulk of the paper shows in detail how it is possible to accomplish this goal for the special case of deterministic dynamical phenomena and their correlated deterministic models. This special version of MCR is formulated as an axiomatic extension of set theory, whose specific axioms constitute a formal ontology that provides an adequate framework for analyzing the two semantic relations of truth and empirical correctness, as well as their connections. (shrink)

Recently, a book was published, the sole purpose of which was to discourage researchers from using the scientific phenomenological method. The author had previously been critical of nurses who had used the scientific phenomenological method but in the new book he goes after the originators of different methods of scientific phenomenological research and attempts to criticize them severely. In this review I defend only the scientific phenomenological method that is strictly based upon the thought of Edmund Husserl. Given the entirely (...) negative project of only critiquing phenomenologically grounded scientific research, one would expect the author to be sensitive to the cautions historians and philosophers of science speak about when one attempts to criticize concepts and procedures that belong to a different research community. Paley, an empiricist, uses empirical criteria to criticize phenomenological work.Moreover, given the entirely negative project of critiquing phenomenologically grounded scientific research one would expect the author to be knowledgeable about phenomenology and the innovative research practices used by a new research community. However, the author has only a thin, superficial understanding of phenomenology. One gets the impression that he only reads phenomenology in order to critique it. He displays an outsider’s understanding of it which means that his criticisms of it are faulty because he does not know how to think and dwell within the phenomenological framework; he does not understand “discovery-oriented” research and he keeps judging such research according to criteria from the “context of verification” perspective which are the wrong criteria for “discovery-oriented” research; he denigrates and reduces nursing research strategies because he interprets them to be based on pragmatic motivations only. He does not even grant that nurses can have authentic scientific motivations for seeking phenomenologically based methods; he uses unfair rhetorical strategies in the sense that he uses strategies himself that he criticizes when others use them. The review below documents what has been summarized here. (shrink)

Suppose we were to ask some students of philosophy to imagine a typical book of classical German philosophy and describe its general style and character, how might they reply? I suspect that they would answer somewhat as follows. The book would be long and heavy, it would be written in a complicated style which employed only very abstract terms, and it would be extremely difficult to understand. At all events a description of this kind does indeed fit many famous works (...) of German philosophy. Let us take for example Hegel's Phenomenology of Spirit of 1807. The 1977 English translation published by Oxford has 591 pages, and as for style here is a typical passage: Self-consciousness found the Thing to be like itself, and itself to be like a Thing; i.e., it is aware that it is in itself the objectively real world. It is no longer the immediate certainty of being all reality, but a certainty for which the immediate in general has the form of something superseded, so that the objectivity of the immediate still has only the value of something superficial, its inner being and essence being self-consciousness itself. The object, to which it is positively related, is therefore a self-consciousness. It is in the form of thinghood, i.e. it is independent ; but it is certain that this independent object is for it not something alien, and thus it knows that it is in principle recognized by the object. It is Spirit which, in the duplication of its self-consciousness and in the independence of both, has the certainty of its unity with itself. This certainty has now to be raised to the level of truth; what holds good for it in principle , and in its inner certainty, has to enter into its consciousness and become explicit fork. (shrink)

The ArgumentScientific tools—measurement and calculation instruments, techniques of inference—straddle the line between the context of discovery and the context of justification. In discovery, new scientific tools suggest new theoretical metaphors and concepts; and in justification, these tool-derived theoretical metaphors and concepts are morelikely to be accepted by the scientific community if the tools are already entrenched in scientific practice.Techniques of statistical inference and hypothesis testing entered American psychology first as tools in the 1940s and 1950s and then as cognitive theories (...) in the 1960s and 1970s. Not only did psychologists resists statistical metaphors of mind prior to the institutionalization of inference techniques in their own practice; the cognitive theories they ultimately developed about “the mind as intuitive statistician” still bear the telltale marks of the practical laboratory context in which the tool was used. (shrink)

Formulated as a common conceptual ground for all democracies, Popper's notion of the open society sprang from the mid-20th century context that demonstrated democracy's vulnerability to hijacking through its own electoral mechanisms. Popper's concept may accordingly be considered as a resource for combatting the populist appeal to majority decision and its threat of diminishing individual and minority rights. I examine the affirmative and critical aspects of such a consideration. On the affirmative side, the open-society concept allows room for both majority (...) decision and the rights of individuals and minorities, as well as for particular group identities and class demands, showing that they may all cooperate to facilitate the growth of liberty, knowledge and the quality of life. Democratic institutions are justified from the grounds of this concept. Populism's equation of democracy with majority decision is, thus, incompatible with democracy's essence: decision by majority exists to cater to the vision that justifies that mode of decision making itself and cannot stay legitimate if it scuttles that vision. The more critical interpretation focuses on a detail of the open society's projected development. Popper tasks democracy's institutions with assuring conditions for progress through the expansion of knowledge. Popper expects the same process to modify the civic sphere's scope and content, as political bodies will be increasingly exposed to the expanding insights of scholarship and science. This anticipation involves grading the agents engaged in these two respective spheres, as well as looking forward to the ascendancy of one of them. Accordingly, the open-society concept might validate claims that, when seeking to confine the scope of majority decision through an emphasis on rights and law, constitutionalist and liberal approaches to democracy are subtly elitist. (shrink)

What is the epistemic position that a scientist must be in vis-à-vis a proposition, p, to be in a good enough epistemic position to assert that p to a fellow scientist within the scientific process? My aim is to provide an answer to this question and, more generally, to connect the epistemological debates about the epistemic norms of assertion to the debates about the nature of the scientific process. The question is important because science is a collaborative enterprise based on (...) a division of labor. It has even been suggested that such collaboration is a part of the scientific method. However, scientific collaboration depends upon communication between scientists—that is, intra-scientific testimony. After distinguishing some different kinds of intra-scientific testimony, I provide a specific proposal for an epistemic norm of assertion that generally governs such testimony. I argue that the proposal aligns with the requirements of three scientific virtues—replicability, revisability, and accountability. The discussion of replicability considers a prominent debate in the social and cognitive sciences. In conclusion, I consider some of the wider questions raised by characterizing scientific collaboration, division of labor, and more generally, scientific method via intra-scientific testimony. (shrink)

En este artículo se discuten las críticas de John Dupré contra la unidad metodológica de la ciencia. Como se sabe, a partir de la premisa del desorden de las cosas, Dupré rechaza tanto las versiones fuertes como las variantes débiles de unificación, pero construye sus mejores argumentos contra las últimas a partir de la tesis de que no hay una solución satisfactoria del problema de la demarcación. Tras exponer los argumentos de Dupré en favor de la implausibilidad de cualquier formulación (...) débil de la tesis de la unidad de la ciencia (incluyendo aquellas que se enfocan en la unidad metodológica), explicaré su formulación del problema de la demarcación, examinaré su caracterización de la teoría de la falsabilidad de Popper y responderé a sus argumentos en contra de la posición de Popper sobre la cientificidad. Mis argumentos mostrarán la inadecuación del tratamiento que da Dupré a este problema y señalarán una ruta para mostrar que la solución de Popper al problema de la demarcación, por medio del criterio de falsabilidad, permite defender una forma no reduccionista de la unidad de la ciencia. (shrink)

Sometimes a theory is interpreted realistically--i.e., as literally true--whereas sometimes a theory is interpreted instrumentalistically--i.e., as merely a convenient device for summarizing, systematizing, deducing, etc., a given body of observable facts. This paper is part of a program aimed at determining the basis on which scientists decide on which of these interpretations to accept a theory. I proceed by examining one case: the nineteenth-century debates about the existence of atoms. I argue that there was a gradual transition from an instrumentalist (...) to a realistic acceptance of the atomic theory, because of gradual increases in its predictive power, the "testedness" of its hypotheses, the "determinateness" of its quantities, and because of resolutions of doubts about the acceptability of its basic explanatory concepts. (shrink)

De Long's criticisms of our explanation of unemployment patterns in the United States are empirically false. His assertion that we have the direction of causation reversed collapses in light of the lag between artificially high wages and unemployment. Nor are his claims about the nature of cyclical movements in productivity and real wages consistent with the data. Finally, his contention that the model we present does not work in the post‐World War II era is, at best, misleading. The evidence shows (...) with remarkable consistency that government attempts to prop up wages have caused twentieth‐century increases in U.S. employment. (shrink)

Sociobiological explanation requires both a reliable and a valid definition of the sociopathy phenotype. Mealey assumes that such reliable and valid definition of sociopathy exists in her A review of psychiatric literature on the diagnosis of antisocial personality disorder clearly demonstrates that this assumption is faulty. There is substantial disagreement among diagnostic systems (e.g., RDC, DSM-III) over what constitutes the antisocial phenotype, different systems identify different individuals as sociopathic. Without a valid definition of sociopathy, sociobiological theories like Mealey's should be (...) viewed as entirely speculative. (shrink)

Over the past several decades, we devoted much energy to generating, reviewing and summarizing evidence. We have given far less attention to the issue of how to thoughtfully apply the evidence once we have it. That’s fine if all we care about is that our clinical decisions are evidence-based, but not so good if we also want them to be well-reasoned. Let us not forget that evidence based medicine (EBM) grew out of an interest in making medicine ‘rational’, with the (...) idea that rational clinical evaluations should be evidence-based. I agree with the uncontroversial statement that the best decision is supported, at least in part, by the best available evidence. Rationality, however, is constituted by reasoning, not evidence. Complete arguments are necessary for rational evaluations, arguments that begin with general evidence and end in a conclusion about a particular patient. In order to traverse these inferential gaps, medicine must address the issue of how to establish, as an intermediate premise, what the evidence has to say about the efficacy of an intervention for particular patients in a particular practice setting. (shrink)

Scientific hypotheses may either predict particular unknown facts or accommodate previously-known data. Although affirmed predictions are intuitively more rewarding than accommodations of established facts, opinions divide whether predictive hypotheses are also epistemically superior to accommodation hypotheses. This paper examines the contribution of predictive hypotheses to discoveries of several bio-molecular systems. Having all the necessary elements of the system known beforehand, an abstract predictive hypothesis of semiconservative mode of DNA replication was successfully affirmed. However, in defining the genetic code whose biochemical (...) basis was unclear, hypotheses were only partially effective and supplementary experimentation was required for its conclusive definition. Markedly, hypotheses were entirely inept in predicting workings of complex systems that included unknown elements. Thus, hypotheses did not predict the existence and function of mRNA, the multiple unidentified components of the protein biosynthesis machinery, or the manifold unknown constituents of the ubiquitin–proteasome system of protein breakdown. Consequently, because of their inability to envision unknown entities, predictive hypotheses did not contribute to the elucidation of cation theories remained the sole instrument to explain complex bio-molecular systems, the philosophical question of alleged advantage of predictive over accommodative hypotheses became inconsequential. (shrink)

Karl Popper's methodology highlights our scientific ignorance: hence the need to institutionalize open‐mindedness through controlled experiments that may falsify our fallible theories about the world. In his endorsement of “piecemeal social engineering,” Popper assumes that the social‐democratic state and its citizens are capable of detecting social problems, and of assessing the results of policies aimed at solving them, through a process of experimentation analogous to that of natural science. But we are not only scientifically but politically ignorant: ignorant of the (...) facts that underpin political debate, which are brought to our attention by theories that, as Max Weber emphasized, can be tested only through counterfactual thought experiments. Public‐opinion and political‐psychology research suggest that human beings are far too unaware, illogical, and doctrinaire to conduct the rigorous theorizing that would be necessary to make piecemeal social engineering work. F.A. Hayek realized that the public could not engage, specifically, in piecemeal economic regulation but failed to draw the conclusion that this was due to a specific type of political ignorance: ignorance of economic theory. (shrink)

Koopman’s book revolves around the notion of transition, which he proposes is one of the central ideas of the pragmatist tradition but one which had not previously been fully articulated yet nevertheless shapes the pragmatist attitude in philosophy. Transition, according to Koopman, denotes “those temporal structures and historical shapes in virtue of which we get from here to there”. One of the consequences of transitionalism is the understanding of critique and inquiry as historical pro...

I criticize Brian Earp's ‘Some Writing Tips for Philosophy’. Earp's article is useful for someone who wishes to do well in analytic philosophy as currently practised but it also casts doubt on why such analytic philosophy would be of interest to someone who wants to learn something new. In addition to its good tips, Earp's article contains two bad tips which, if followed, will tend to produce a paper that says next to nothing. I list the two faulty tips, show (...) how the practices of great philosophers and scientists contradict them, then set out some contrary good tips for philosophers who aim to write a paper that makes a contribution to our knowledge. (shrink)

The logical interpretation of probability, or "objective Bayesianism'' – the theory that (some) probabilities are strictly logical degrees of partial implication – is defended. The main argument against it is that it requires the assignment of prior probabilities, and that any attempt to determine them by symmetry via a "principle of insufficient reason" inevitably leads to paradox. Three replies are advanced: that priors are imprecise or of little weight, so that disagreement about them does not matter, within limits; that it (...) is possible to distinguish reasonable from unreasonable priors on logical grounds; and that in real cases disagreement about priors can usually be explained by differences in the background information. It is argued also that proponents of alternative conceptions of probability, such as frequentists, Bayesians and Popperians, are unable to avoid committing themselves to the basic principles of logical probability. (shrink)

What has science actually achieved? A theory of achievement should define what has been achieved, describe the means or methods used in science, and explain how such methods lead to such achievements. Predictive accuracy is one truth‐related achievement of science, and there is an explanation of why common scientific practices tend to increase predictive accuracy. Akaike’s explanation for the success of AIC is limited to interpolative predictive accuracy. But therein lies the strength of the general framework, for it also provides (...) a clear formulation of many open problems of research. (shrink)

What has science actually achieved? A theory of achievement should define what has been achieved, describe the means or methods used in science, and explain how such methods lead to such achievements. Predictive accuracy is one truth-related achievement of science, and there is an explanation of why common scientific practices tend to increase predictive accuracy. Akaike's explanation for the success of AIC is limited to interpolative predictive accuracy. But therein lies the strength of the general framework, for it also provides (...) a clear formulation of many open problems of research. (shrink)

This paper outlines a quantitative theory of strongly semantic information (TSSI) based on truth-values rather than probability distributions. The main hypothesis supported in the paper is that the classic quantitative theory of weakly semantic information (TWSI), based on probability distributions, assumes that truth-values supervene on factual semantic information, yet this principle is too weak and generates a well-known semantic paradox, whereas TSSI, according to which factual semantic information encapsulates truth, can avoid the paradox and is more in line with the (...) standard conception of what generally counts as semantic information. After a brief introduction, section two outlines the semantic paradox implied by TWSI, analysing it in terms of an initial conflict between two requisites of a quantitative theory of semantic information. In section three, three criteria of semantic information equivalence are used to provide a taxonomy of quantitative approaches to semantic information and introduce TSSI. In section four, some further desiderata that should be fulfilled by a quantitative TSSI are explained. From section five to section seven, TSSI is developed on the basis of a calculus of truth-values and semantic discrepancy with respect to a given situation. In section eight, it is shown how TSSI succeeds in solving the paradox. Section nine summarises the main results of the paper and indicates some future developments. (shrink)

What are the pillars on which the success of modern science rest? Although philosophers have much discussed what is behind science’s success, this paper argues that much of the discussion is misdirected. The extant literature rightly regards the semantic and inferential tools of formal logic and probability theory as pillars of scientific rationality, in the sense that they reveal the justificatory structure of important aspects of scientific practice. As key elements of our rational reconstruction toolbox, they make a fundamental contribution (...) to our understanding of the success of science.At the same time, any science, however exact, is dominated by approximation, error, and uncertainty, a fact that makes one wonder how science can be so successful. This paper articulates and illustrates general themes—e.g., that truth-preserving arguments often fail to preserve approximate truth—that highlight the need for additional semantic resources. Thus, our proposal is that persistent failures to unravel the reasons behind the success of science in the face of pervasive error and uncertainty should be attributed to an insufficiently rich way of rationally reconstructing scientific and mathematical knowledge. What is missing? This paper claims that there is a third formal method of reasoning that constitutes a distinct pillar on which rests the success of science, namely, perturbation theory. The paper outlines how the representational and inferential tools of perturbation theory differ from those of logic and probability theory, and how they enable us to understand the apparently elusive aspects of the success of science.However, compared to its peers, perturbative reasoning has not received the attention it deserves. As the paper explains, this partly results from the circumstances in which perturbation theory is taught, and partly from the fact that perturbation theory first appears to be a vaguely related collection of methods offering no systematic semantic insight. In an attempt to show that this first impression is wrong, this paper presents its contribution to the semantic dimension of scientific representation and inference in terms of what I call “semantic layering.”. (shrink)

Mealey distinguishes two types of sociopathy: (1) or obligate, and (2) or facultative. Either sociopathy evolved twice, or one form is derived from the other, e.g., through: (1) genetic assimilation generating polymorphism in the relative strength of biases favoring the development of otherwise facultative strategies, or (2) independently heritable but strategically relevant characteristics biasing the optimal selection of facultative strategies.