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.     

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.     

Reasoning and Explaining

When regimented in a certain natural way, the concepts of explanation and justification manifest a pattern of interrelations connected more or less systematically to their object. Besides its intrinsic interest, this pattern may give us some insight into the nature, source, and limits of the concept of argument.     

Fuzzy-Trace Theory and False Memory

A key problem confronting theories of false memory is that false-memory phenomena are so diverse: Some are characteristic of controlled laboratory tasks, others of everyday life; some occur for traumatic events with legal consequences, others for innocuous events; some are characteristic of one developmental level, others of another developmental level. Fuzzy-trace theory explains false memories via a small set of principles that implement a single representational distinction. Those principles generate new predictions, some of which are counterintuitive.     

Infinite barbarians

This paper discusses an infinite regress that looms behind a certain kind of historical explanation. The movement of one barbarian group is often explained by the movement of others, but those movements in turn call for an explanation. While their explanation can again be the movement of yet another group of barbarians, if this sort of explanation does not stop somewhere we are left with an infinite regress of barbarians. While that regress would be vicious, it cannot be accommodated by several general views about what viciousness in infinite regresses amounts to. This example is additional evidence that we should prefer a pluralist approach to infinite regresses.     

Models and mechanisms in network neuroscience

This paper considers the way mathematical and computational models are used in network neuroscience to deliver mechanistic explanations. Two case studies are considered: Recent work on klinotaxis by Caenorhabditis elegans, and a long-standing research effort on the network basis of schizophrenia in humans. These case studies illustrate the various ways in which network, simulation, and dynamical models contribute to the aim of representing and understanding network mechanisms in the brain, and thus, of delivering mechanistic explanations. After outlining this mechanistic construal of network neuroscience, two concerns are addressed. In response to the concern that functional network models are nonexplanatory, it is argued that functional network models are in fact explanatory mechanism sketches. In response to the concern that models which emphasize a network’s organization over its composition do not explain mechanistically, it is argued that this emphasis is both appropriate and consistent with the principles of mechanistic explanation. What emerges is an improved understanding of the ways in which mathematical and computational models are deployed in network neuroscience, as well as an improved conception of mechanistic explanation in general.     

Luck,Control, and Contrastive Explanation

This paper is aimed to show how the libertarian conception of free choice is mistaken or misleading by focusing on Robert Kane’s attempt to solve the problem of luck, which arguably constitutes the most serious challenge to libertarianism about free will. I will argue that either Kane’s solution to the problem of luck falls into some inconsistency or he must introduce the requirement of contrastive explanation into his account of plural voluntary control. Either way, Kane fails to show how his emphasis on the requirement of plural voluntary control is made consistent with his unswerving commitment to the requirement of the libertarian free will for a metaphysical indeterminism.     

人类行为的进化论解释及其特征

进化论用于解释人类行为的合理性依赖于对进化论结构的理解,而不能通过直接肯定或否定人类行为有无某种生物学的结构基础来回答.如果进化论是对现象系统的描述,那它在原则上就不能用于对人类行为进化的研究.进化论应被看作是对一类物理系统的定义,理论定义系统与现象系统也只能在现象层面上同构.人类行为进化解释的恰当性,就在于人类行为系统与进化论定义系统在经验上的适合达到了期望的程度.