Why are there so many controversies in evolutionary psychology? Using a couple of concepts from philosophy of science, this paper argues that evolutionary psychology has not reached the stage of mature, normal science, since it does not currently have a unifying research program that guides individual scientists working in the discipline. The argument goes against claims made by certain proponents and opponents of evolutionary psychology, and it is supported by discussion of several examples. The paper notes that just because evolutionary (...) psychology has not reached the stage of normal science, the discipline is nevertheless a source of many progressive theoretical developments and interesting empirical discoveries. (shrink)

Complex constraints like conditionals ('If A, then B') and probabilistic constraints ('The probability that A is p') pose problems for Bayesian theories of learning. Since these propositions do not express constraints on outcomes, agents cannot simply conditionalize on the new information. Furthermore, a natural extension of conditionalization, relative information minimization, leads to many counterintuitive predictions, evidenced by the sundowners problem and the Judy Benjamin problem. Building on the notion of a `paradigm shift' and empirical research in psychology and economics, I (...) argue that the model of hypothesis testing can explain how people learn complex, theory-laden propositions like conditionals and probability constraints. Theories are formalized as probability distributions over a set of possible outcomes and theory change is triggered by a constraint which is incompatible with the initial theory. This leads agents to consult a higher order probability function, or a 'prior over priors,' to choose the most likely alternative theory which satisfies the constraint. The hypothesis testing model is applied to three examples: learning a simple probabilistic constraint involving coin bias, the sundowners problem for conditional learning, and the Judy Benjamin problem for learning conditional probability constraints. (shrink)

Recent studies of scientific interaction based on agent-based models suggest that a crucial factor conducive to efficient inquiry is what Zollman has dubbed ‘transient diversity’. It signifies a process in which a community engages in parallel exploration of rivaling theories lasting sufficiently long for the community to identify the best theory and to converge on it. But what exactly generates transient diversity? And is transient diversity a decisive factor when it comes to the efficiency of inquiry? In this paper we (...) examine the impact of different conditions on the efficiency of inquiry, as well as the relation between diversity and efficiency. This includes certain diversity-generating mechanisms previously proposed in the literature, as well as some factors that have so far been neglected. This study is obtained via an argumentation-based ABM. Our results suggest that cautious decision-making does not always have a significant impact on the efficiency of inquiry while different evaluations underlying theory-choice and different social networks do. Moreover, we find a correlation between diversity and a successful performance of agents only under specific conditions, which indicates that transient diversity is sometimes not the primary factor responsible for efficiency. Altogether, when comparing our results to those obtained by structurally different ABMs based on Zollman’s work, the impact of specific factors on efficiency of inquiry, as well as the role of transient diversity in achieving efficiency, appear to be highly dependent on the underlying model. (shrink)

The history of the field of business ethics in the U.S. remains understudied and misunderstood. In this article I begin to remedy this oversight about the past, and I suggest how it can be beneficial in the present. Using both published and unpublished primary sources, I argue that the business ethics field emerged in the early twentieth century, against the backdrop of the establishment of business schools in major universities. I bring to light four important developments: business ethics lectures at (...) the University of California and Yale University, Leon Marshall’s curriculum at the College of Commerce of the University of Chicago, and the William A. Vawter Foundation on Business Ethics at Northwestern University. Then, I consider the payoffs of my historical account for business ethics theory, pedagogy, and practice. Specifically, I present four implications of my account under these headings: business ethics as a public problem; the place of ethics in business schools; historicizing business ethics; and historical self-knowledge. (shrink)

I compare the epistemic culture of Wikipedia with the epistemic culture of science, with special attention to the culture of collaborative research in science. The two cultures differ markedly with respect to (1) the knowledge produced, (2) who produces the knowledge, and (3) the processes by which knowledge is produced. Wikipedia has created a community of inquirers that are governed by norms very different from those that govern scientists. Those who contribute to Wikipedia do not ground their claims on their (...) reputations as knowers, for they stand to lose nothing if and when their contributions are found to be misleading or false. And the immediacy of the medium encourages gossip and jokes. Hence, though we have some reason to believe that an invisible hand aids scientists in realizing their epistemic goals, we cannot ground our confidence in what is reported on Wikipedia on the fact that an invisible hand ensures quality. Nor is the information on Wikipedia aptly justified in a manner similar to the way testimony can be justified. (shrink)

I examine whether or not it is apt to attribute knowledge to groups of scientists. I argue that though research teams can be aptly described as having knowledge, communities of scientists identified with research fields, and the scientific community as a whole are not capable of knowing. Scientists involved in research teams are dependent on each other, and are organized in a manner to advance a goal. Such teams also adopt views that may not be identical to the views of (...) the individual members of the group. (shrink)

Hoyningen-Huene develops an account of what science is, distinguishing it from common sense. According to Hoyningen-Huene, the key distinguishing feature is that science is more systematic. He identifies nine ways in which science is more systematic than common sense. I compare Hoyningen-Huene’s view to a view I refer to as the “Continuity Thesis.” The Continuity Thesis states that scientific knowledge is just an extension of common sense. This thesis is associated with Quine, Planck, and others. I argue that Hoyningen-Huene ultimately (...) rejects the Continuity Thesis, and I present further evidence to show that the Continuity Thesis is false. I also argue that it is the systematicity of science that ultimately grounds the epistemic authority of science. Hoyningen-Huene thus draws attention to an important feature of science that explains the place of science in contemporary society. (shrink)

I evaluate the extent to which we could learn something about how we should be conducting collaborative research in science from the research on groupthink. I argue that Solomon has set us in the wrong direction, failing to recognize that the consensus in scientific specialties is not the result of deliberation. But the attention to the structure of problem-solving that has emerged in the groupthink research conducted by psychologists can help us see when deliberation could lead to problems for a (...) research team. I argue that whenever we need to generate alternative solutions or proposals, groupthink is a genuine threat, and research teams would be wise to allow individuals opportunities to work alone. But the benefits of team work emerge when scientists seek to evaluate the various proposals generated, and determine a course of action. Then the group is less prone is groupthink, and the interaction of group members can be an epistemic asset. (shrink)

This target article presents a new computational theory of explanatory coherence that applies to the acceptance and rejection of scientific hypotheses as well as to reasoning in everyday life, The theory consists of seven principles that establish relations of local coherence between a hypothesis and other propositions. A hypothesis coheres with propositions that it explains, or that explain it, or that participate with it in explaining other propositions, or that offer analogous explanations. Propositions are incoherent with each other if they (...) are contradictory, Propositions that describe the results of observation have a degree of acceptability on their own. An explanatory hypothesis is acccpted if it coheres better overall than its competitors. The power of the seven principles is shown by their implementation in a connectionist program called ECHO, which treats hypothesis evaluation as a constraint satisfaction problem. Inputs about the explanatory relations are used to create a network of units representing propositions, while coherende and incoherence relations are encoded by excitatory and inbihitory links. ECHO provides an algorithm for smoothly integrating theory evaluation based on considerations of explanatory breadth, simplicity, and analogy. It has been applied to such important scientific cases as Lovoisier's argument for oxygen against the phlogiston theory and Darwin's argument for evolution against creationism, and also to cases of legal reasoning. The theory of explanatory coherence has implications for artificial intelligence, psychology, and philosophy. (shrink)

This paper argues that questions concerning the nature of concepts that are central in cognitive psychology are also important to epistemology and that there is more to conceptual change than mere belief revision. Understanding of epistemic change requires appreciation of the complex ways in which concepts are structured and organized and of how this organization can affect belief revision. Following a brief summary of the psychological functions of concepts and a discussion of some recent accounts of what concepts are, I (...) propose a view of concepts as complex computational structures. This account suggests that conceptual change can come in varying degrees, with the most extreme consisting of fundamental conceptual reorganizations. These degrees of conceptual change are illustrated by the development of the concept of an acid. (shrink)

Recently a number of philosophers have maintained that the meanings of terms in a scientific language are “theory-laden” or determined by the theory in which they occur, and thus that if the same term occurs in different theories, it will take on different meanings in the different theories; so the theories are incommensurable. An often-stated corollary to this doctrine is the claim that possessors of different theories cannot express or possess the same facts since they attach different meanings to the (...) terms used to give expression to the facts. Various attacks against this extreme doctrine on the relativity of facts have been mounted. Some of them consist in showing defective the argument advanced in support of this doctrine; but such criticisms at best show that the defenses offered for the doctrine are defective, not that the doctrine itself is defective. (shrink)

Die Arbeit betrachtet die verschiedenen Ansichten, die über wissenschaftliche Objektivität bestehen: Etwa als Charakteristik einer gesamtwissenschaftlichen Praxis, als Gesamtfortschritt, der durch die Struktur der Institution bestimmt ist, oder als etwas, was auf subjektivem Glauben, subjektivem Verfahren und kollektiven Meinungen begründet ist. Sie betrachtet die Objektivität der Wissenschaft auch in bezug auf den Sinn wissenschaftlicher Behauptungen und bezüglich des allgemeinen erkenntnistheoretischen Hintergrundes. Mit Blick auf einige neuere Thesen innerhalb der Quantenphysik und in der Sprache der Quantenphysik versucht die Arbeit herauszustellen, daß (...) die Praxis der tatsächlichen Wissenschaft über historische und logisch-methodologische Rechenschaftsablegung hinausgeht, um ihre Glaubwürdigkeit in einer kontinuierlich sich erweiternden Erfahrung unter Beweis zu stellen. Wissenschaft als ein systematisches öffentliches Unternehmen, dessen Zweck es ist, Behauptungen über die Natur zu formulieren, erreicht dies durch einen Bedeutungswandel von Objektivität und indem sie neue "Sprachen" übernimmt, die durch solchen Wandel erfordert werden. (shrink)

The article first addresses the importance of cognitive modeling, in terms of its value to cognitive science (as well as other social and behavioral sciences). In particular, it emphasizes the use of cognitive architectures in this undertaking. Based on this approach, the article addresses, in detail, the idea of a multi-level approach that ranges from social to neural levels. In physical sciences, a rigorous set of theories is a hierarchy of descriptions/explanations, in which causal relationships among entities at a high (...) level can be reduced to causal relationships among simpler entities at a more detailed level. We argue that a similar hierarchy makes possible an equally productive approach toward cognitive modeling. The levels of models that we conceive in relation to cognition include, at the highest level, sociological/anthropological models of collective human behavior, behavioral models of individual performance, cognitive models involving detailed mechanisms, representations, and processes, as well as biological/physiological models of neural circuits, brain regions, and other detailed biological processes. (shrink)

Positivism has been used to establish a standard that Information Systems (IS) research must meet to be scientific. According to such positivistic beliefs in IS, scientific research should: 1) be generalizable, 2) focus on stable independent variables, 3) have certain ontological assumptions, and 4) use statistical or quantitative methods rather than qualitative methods. We argue that logical positivist philosophers required none of these. On the contrary, logical positivist philosophers regarded philosophizing in general and ontological considerations in particular as nonsense. Moreover, (...) the positivists’ preferred empirical research method was not a survey, but rather a qualitative observation recorded by field notes. In addition, positivist philosophers required neither statistical nor nonstatistical generalizability. At least some positivist philosophers also acknowledged the study of singular cases as being scientific. Many research orientations (e.g., single-setting research, examination of change, qualitative research) that are deemed “unscientific” by positivism in IS seem to be “scientific” (in principle) according to logical positivism. In turn, generally speaking, what has been justified as scientific by positivism in IS (e.g., requirements of statistical or nonstatistical generalizability, surveys, independent variables, ontological views) were either not required by logical positivists or were regarded as nonsensical by logical positivists. Furthermore, given that positivism is sometimes associated (or confused) with logical empiricism in IS, we also briefly discuss logical empiricism. Finally, realizing that certain influential, taken-forgranted assumptions that underlie IS research are unwarranted could have ground-breaking implications for future IS research. (shrink)

Neuropsychological results are increasingly cited in cognitive theories although their methodology has been severely criticised. The book argues for an eclectic approach but particularly stresses the use of single-case studies. A range of potential artifacts exists when inferences are made from such studies to the organisation of normal function – for example, resource differences among tasks, premorbid individual differences, and reorganisation of function. The use of “strong” and “classical” dissociations minimises potential artifacts. The theoretical convergence between findings from fields where (...) cognitive neuropsychology is well developed and those from the normal literature strongly suggests that the potential artifacts are not critical. The fields examined in detail in this respect are short-term memory, reading, writing, the organisation of input and output speech systems, and visual perception. Functional dissociation data suggest that not only are input systems organised modularly, but so are central systems. This conclusion is supported by findings on impairment of knowledge, visual attention, supervisory functions, memory, and consciousness. (shrink)

Simple assumptions represent a decisive reason to prefer one theory to another in everyday scientific praxis. But this praxis has little philosophical justification, since there exist many notions of simplicity, and those that can be defined precisely strongly depend on the language in which the theory is formulated. The language dependence is a natural feature—to some extent—but it is also believed to be a fatal problem, because, according to a common general argument, the simplicity of a theory is always trivial (...) in a suitably chosen language. But, this trivialization argument is typically either applied to toy-models of scientific theories or applied with little regard for the empirical content of the theory. This paper shows that the trivialization argument fails, when one considers realistic theories and requires their empirical content to be preserved . In fact, the concepts that enable a very simple formulation, are not necessarily measurable, in general. Moreover, the inspection of a theory describing a chaotic billiard shows that precisely those concepts that naturally make the theory extremely simple are provably not measurable. This suggests that—whenever a theory possesses sufficiently complex consequences—the constraint of measurability prevents too simple formulations in any language. This explains why the scientists often regard their assessments of simplicity as largely unambiguous. In order to reveal a cultural bias in the scientists’ assessment, one should explicitly identify different characterizations of simplicity of the assumptions that lead to different theory selections. General arguments are not sufficient. (shrink)

(2005). Wonder in the face of scientific revolutions: Adam Smith on Newton's ‘Proof’ of Copernicanism. British Journal for the History of Philosophy: Vol. 13, No. 4, pp. 697-732. doi: 10.1080/09608780500293042.

I attempt to raise questions regarding elements of systematics—primarily in the realm of phylogenetic reconstruction—in order to provoke discussion on the current state of affairs in this discipline, and also evolutionary biology in general: e.g., conceptions of homology and homoplasy, hypothesis testing, the nature of and objections to Hennigian “phylogenetic systematics”, and the schism between Darwinian descendants of the “modern evolutionary synthesis” and their supposed antagonists, cladists and punctuationalists.

Looking at our knowledge of the risks associated with nanotechnology, one wonders to what degree should its products and applications be regulated? Do we need any governing body to regulate nanotechnology research and development? Do individuals have a right to know to make informed decisions through labelling mechanism? The question of regulation and responsibility in the interaction between science, technology and society is one of the most pressing issues. Risks and regulations regarding nanoscience and nanotechnology are mostly debated amongst policy-makers (...) and not amongst the nanoscientists, who actually produce the new science. Thus, the paper makes an attempt to contribute significantly to an increased body of knowledge regarding how scientists think and talk about science. Little has been documented about perceptions of nanotechnology regulation and responsibility in developing countries. Given the importance of perceptions in the genetically-modified foods debate, the way nanotechnology is perceived holds serious repercussions for the framing of its ethical, legal and social implications. Through a field-survey that records the opinions of leading Indian nanoscientists, the paper examines scientists' perceptions about nanotech-regulation. Such discussion is imperative to address technological risks and uncertainties. The paper further explores whether scientists have different views on what responsibility amounts to and under what conditions one is responsible. Though the study has considered Indian nanoscientists due to access issues, the research questions raised and addressed in this study are universal in nature. (shrink)