Using artificial life to teach evolutionary biology

This paper presents a pilot study on the use of artificial life software in an educational setting. Two groups of high school students received a standard lesson in evolutionary biology followed by a software session. The experimental group used the suite of artificial life software presented in this paper; the control group used a commercial multimedia hypertext. At the end of the software session both groups were asked to fill in a simple multiple-choice questionnaire testing the students knowledge of various aspects of evolutionary biology. The results show that the group using the artificial life software performed significantly better than the control group. We argue that the experimental group may learn more effectively because the artificial life makes it possible for students to perform experiments, a possibility not available to the control group.

Finding common ground between evolutionary biology and continental philosophy

This article identifies already existing theoretical and methodological commonalities between evolutionary biology and phenomenology, concentrating specifically on their common pursuit of origins. It identifies in passing theoretical support from evolutionary biology for present-day concerns in philosophy, singling out Sartre’s conception of fraternity as an example. It anchors its analysis of the common pursuit of origins in Husserl’s consistent recognition of the grounding significance of Nature and in his consistent recognition of animate forms of life other than human. It enumerates and exemplifies five basic errors of continental philosophers with respect to Nature, errors testifying to a philosophical fundamentalism that distorts the intricate interconnections and relationships of Nature in favor of a preferred knowledge rooted in ontological reductionism. It shows that to discover and appreciate the common ground, one must indeed study “the things themselves.”

The mirror of physics: on how the Price equation can unify evolutionary biology

Synthese - Due to its high degree of complexity and its historical nature, evolutionary biology has been traditionally portrayed as a messy science. According to the supporters of such a view,...     

Tools from evolutionary biology shed new light on the diversification of languages

Computational methods have revolutionized evolutionary biology. In this paper we explore the impact these methods are now having on our understanding of the forces that both affect the diversification of human languages and shape human cognition. We show how these methods can illuminate problems ranging from the nature of constraints on linguistic variation to the role that social processes play in determining the rate of linguistic change. Throughout the paper we argue that the cognitive sciences should move away from an idealized model of human cognition, to a more biologically realistic model where variation is central.     

A synthetic validity approach to testing differential prediction hypotheses

A new method is presented for conducting differential prediction analyses that makes it possible to test differential prediction hypotheses with adequate statistical power even when the sample size within a job or a job family is very small. This method, called synthetic differential prediction analysis, represents an application of the logic of synthetic validation to differential prediction analyses. The authors explain this new method and describe its application in a selection-system validation study conducted in a large organization.     

Private self-consciousness as moderator of the importance of attitude and subjective norm: The prediction of voting

The influence of private self-consciousness on the components of Ajzen and Fishbein's attitude model (attitude and subjective norm) is analysed. The impact of past behaviour on both current behaviour and behavioural intention is also studied. This model was applied to the prediction of voting intention and reported behaviour in the Spanish Parliamentary elections held in 1989, Attitude showed stronger influence than subjective norm on behavioural intention for subjects with a higher private self-consciousness. The opposite was true for subjects having a lower private self-consciousness. Past behaviour had a significant influence on both behavioural intention and behaviour.     

The epistemology of evolutionary debunking

Fifteen years ago, Sharon Street and Richard Joyce advanced evolutionary debunking arguments against moral realism, which purported to show that the evolutionary history of our moral beliefs makes moral realism untenable. These arguments have since given rise to a flurry of objections; the epistemic principles Street and Joyce relied upon, in particular, have come in for a number of serious challenges. My goal in this paper is to develop a new account of evolutionary debunking which avoids the pitfalls Street and Joyce encountered and responds to the most pressing objections they faced. I begin by presenting a striking thought experiment to serve as an analogy for the evolution of morality; I then show why calibrationist views of higher-order evidence are crucial to the evolutionary debunking project; I outline a new rationale for why finding out that morality was selected to promote cooperation suggests that our moral judgments are unreliable; and I explain why evolutionary debunking arguments do not depend on our having a dedicated faculty for moral cognition. All things considered, I argue, evolutionary debunking arguments against moral realism are on relatively secure footing – provided, at least, that we accept a calibrationist account of higher-order evidence.

     

The importance of being in earnest

Certain remarks in the Tractatus, taken together with a passage in a letter Wittgenstein wrote to Russell, suggest that at one time Wittgenstein inclined toward a psychologistic theory of language. But textual considerations with regard to the former and a special interpretation of the latter allow us to interpret these statements in a way that is consistent with Wittgenstein's later views.     

The effects of unitization on familiarity-based source memory: testing a behavioral prediction derived from neuroimaging data

Performance on tests of source memory is typically based on recollection of contextual information associated with an item. However, recent neuroimaging results have suggested that the perirhinal cortex, a region thought to support familiarity-based item recognition, may support source attributions if source information is encoded as a feature of the relevant item (i.e., "unitized"). The authors hypothesized that familiarity may contribute to source memory performance if item and source information are unitized during encoding, whereas performance may rely more heavily on recollection if source information is encoded as an arbitrary contextual association. Three source recognition experiments examining receiver operating characteristics and response deadline performance indicated that familiarity makes a greater contribution to source memory if source and item information are unitized during encoding. These findings suggest that familiarity can contribute to source recognition and that its contribution depends critically on the way item and source information are initially processed.