Science and God: An automatic opposition between ultimate explanations

Science and religion have come into conflict repeatedly throughout history, and one simple reason for this is the two offer competing explanations for many of the same phenomena. We present evidence that the conflict between these two concepts can occur automatically, such that increasing the perceived value of one decreases the automatic evaluation of the other. In Experiment 1, scientific theories described as poor explanations decreased automatic evaluations of science, but simultaneously increased automatic evaluations of God. In Experiment 2, using God as an explanation increased automatic evaluations of God, but decreased automatic evaluations of science. Religion and science both have the potential to be ultimate explanations, and these findings suggest that this competition for explanatory space can create an automatic opposition in evaluations.     

CRITICAL REMARKS ON THE COGNITIVE SCIENCE OF RELIGION

Cognitive explanations of religious beliefs propose an evolutionary past in which humans had to possess certain cognitive adaptations to survive. The aim of this article is to show that some cognitive accounts may overvalue the putative role of cognition. One such cognitive idea is an assumption that cognition has been evolutionarily shaped only, or most importantly, in the Pleistocene. This idea seems common among writers on the cognitive science of religion (CSR), but is mistaken. Cognition has been shaped throughout evolution. Another idea is that components of religion could not have been produced by natural selection (the hypothesis that religion is a by-product). But the article suggests that there are some domains in the field of religion and religious components that could be acquired and transmitted despite or even against alleged cognitive biases. The aim of this article is to argue for an extended approach that combines a cognitive account with functional naturalistic approaches, including an adaptationist one. Such distinction could imply that cognition is not functional. Obviously, this is not the case since cognition is the process of knowing, and surely knowledge is functional. However, the main argument for such a distinction lies in the key idea of the cognitive account that as far as cognition is functional and adaptive, religious components are not. Functionalism or “adaptivism” concerning cognition contradicts functionalism concerning religion. Numbers of scholars who consider themselves part of CSR seem also to consider both cognition and religion adaptive. However, in regard to components of religion, their adaptive, functional power is only secondary. The article concludes that the study of religion—as the study of cultural evolution in general—should include a pluralistic methodology combining cognitive and evolutionary accounts with the specificity of cultural evolution.     

Divine Action in the World of Physics: Response to Nicholas Saunders

Nicholas Saunders claims that, in my view, divine action requires and is confined to indeterminacies at the quantum level. I try to make clear that, in speaking of "gaps" in physical causality, I mean that the existence of intentions entails that determining law explanations alone cannot give a complete account of the natural world. By "indeterminacy" I mean a general (not quantum) lack of determining causality in the physical order. Construing physical causality in terms of dispositional properties variously realized in more or less creative ways in different contexts may be most helpful in developing an account of divine action.     

Reduction: the Cheshire cat problem and a return to roots

In this paper, I propose two theses, and then examine what the consequences of those theses are for discussions of reduction and emergence. The first thesis is that what have traditionally been seen as robust, reductions of one theory or one branch of science by another more fundamental one are a largely a myth. Although there are such reductions in the physical sciences, they are quite rare, and depend on special requirements. In the biological sciences, these prima facie sweeping reductions fade away, like the body of the famous Cheshire cat, leaving only a smile. ... The second thesis is that the “smiles” are fragmentary patchy explanations, and though patchy and fragmentary, they are very important, potentially Nobel-prize winning advances. To get the best grasp of these “smiles,” I want to argue that, we need to return to the roots of discussions and analyses of scientific explanation more generally, and not focus mainly on reduction models, though three conditions based on earlier reduction models are retained in the present analysis. I briefly review the scientific explanation literature as it relates to reduction, and then offer my account of explanation. The account of scientific explanation I present is one I have discussed before, but in this paper I try to simplify it, and characterize it as involving field elements (FE) and a preferred causal model system (PCMS) abbreviated as FE and PCMS. In an important sense, this FE and PCMS analysis locates an “explanation” in a typical scientific research article. This FE and PCMS account is illustrated using a recent set of neurogenetic papers on two kinds of worm foraging behaviors: solitary and social feeding. One of the preferred model systems from a 2002 Nature article in this set is used to exemplify the FE and PCMS analysis, which is shown to have both reductive and nonreductive aspects. The paper closes with a brief discussion of how this FE and PCMS approach differs from and is congruent with Bickle’s “ruthless reductionism” and the recently revived mechanistic philosophy of science of Machamer, Darden, and Craver.     

Emergence and reduction: Reply to Kim

In this paper I examine Jaegwon Kim’s view that emergent properties are irreducible to the base properties on which they supervene. Kim’s view assumes a model of ‘functional reduction’ which he claims to be substantially different from the traditional Nagelian model. I dispute this claim and argue that the two models are only superficially different, and that on either model, properly understood, it is possible to draw a distinction between a property’s being reductively identifiable with its base property and a property’s being reductively explainable in terms of it. I propose that we should take as the distinguishing feature of emergent properties that they be truly novel properties, i.e., ontologically distinct from the ‘base’ properties which they supervene on. This only requires that emergent properties cannot be reductively identified with their base properties, not that they cannot be reductively explained in terms of them. On this conception the set of emergent properties may well include mental properties as conceived by nonreductive physicalists.     

Evaluating Explanations in Law, Science, and Everyday Life

ABSTRACT— This article reviews a theory of explanatory coherence that provides a psychologically plausible account of how people evaluate competing explanations. The theory is implemented in a computational model that uses simple artificial neural networks to simulate many important cases of scientific and legal reasoning. Current research directions include extensions to emotional thinking and implementation in more biologically realistic neural networks.     

Two kinds of naturalism in ethics

What are the conditions on a successful naturalistic account of moral properties? In this paper I discuss one such condition: the possibility of moral concepts playing a role in good empirical theories on a par with those of the natural and social sciences. I argue that Peter Railton’s influential account of moral rightness fails to meet this condition, and thus is only viable in the hands of a naturalist who doesn’t insist on it. This conclusion generalises to all versions of naturalism that give a significant role to a dispositional characterisation of moral properties. I also argue, however, that the epistemological and semantic motivations behind naturalism are consistent with a version of naturalism that doesn’t insist on the explanatory condition. The conclusion is that those naturalists who are attracted to accounts of moral properties such as Railton’s would do better not to insist on this\break condition.     

The Deductive-Nomological Account of Metaphysical Explanation

The paper explores a deductive-nomological account of metaphysical explanation: some truths metaphysically explain, or ground, another truth just in case the laws of metaphysics determine the latter truth on the basis of the former. I develop and motivate a specific conception of metaphysical laws, on which they are general rules that regulate the existence and features of derivative entities. I propose an analysis of the notion of ‘determination via the laws’, based on a restricted form of logical entailment. I argue that the DN-account of ground can be defended against the well-known objections to the DN-approach to scientific explanation. The goal of the paper is to show that the DN-account of metaphysical explanation is a well-motivated and defensible theory.     

The Structure of Scientific Evolution

Science is the construction and testing of systems that bind symbols to sensations according to rules. Material implication is the primary rule, providing the structure of definition, elaboration, delimitation, prediction, explanation, and control. The goal of science is not to secure truth, which is a binary function of accuracy, but rather to increase the information about data communicated by theory. This process is symmetric and thus entails an increase in the information about theory communicated by data. Important components in this communication are the elevation of data to the status of facts, the descent of models under the guidance of theory, and their close alignment through the evolving retroductive process. The information mutual to theory and data may be measured as the reduction in the entropy, or complexity, of the field of data given the model. It may also be measured as the reduction in the entropy of the field of models given the data. This symmetry explains the important status of parsimony (how thoroughly the data exploit what the model can say) alongside accuracy (how thoroughly the model represents what can be said about the data). Mutual information is increased by increasing model accuracy and parsimony, and by enlarging and refining the data field under purview.     

The economics of paradox: a response to armour-garb

‘Those ice cubes melted because by melting total entropy increased and entropy increase has a very high objective chance.’ What role does the chance in this explanation play? I argue that it contributes to the explanation by entailing that the melting was almost necessary, and defend the claim that the fact that some event was almost necessary can, in the right circumstances, constitute a causal explanation of that event.