Can Robert Adams Survive Moral Twin Earth?

Richard Boyd and Robert Adams have both developed semantic accounts of moral terms based on Hilary Putnam's causal regulation theory for natural kind terms, according to which the terms in question refer to the properties which predominantly causally regulated the terms. However, Terence Horgan and Mark Timmons have mounted an objection to Boyd's semantics—their Moral Twin Earth argument. If this argument is successful against Boyd then it might be thought that it should also be successful against Adams, given the similarity between their semantic accounts. I will argue in this essay that Adams's semantics is sufficiently different from Boyd's to enable him to survive Moral Twin Earth, but that he is vulnerable to a modified version of Moral Twin Earth that I describe.     

Probabilities,causation, and logic programming in conditional reasoning: reply to Stenning and Van Lambalgen (2016)

Oaksford and Chater (2014 Oaksford, M., &; Chater, N. (2014). Probabilistic single function dual process theory and logic programming as approaches to non-monotonicity in human vs. artificial reasoning. Thinking and Reasoning, 20, 269–295. doi:10.1080/13546783.2013.877401[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar], Thinking and Reasoning, 20, 269–295) critiqued the logic programming (LP) approach to nonmonotonicity and proposed that a Bayesian probabilistic approach to conditional reasoning provided a more empirically adequate theory. The current paper is a reply to Stenning and van Lambalgen's rejoinder to this earlier paper entitled ‘Logic programming, probability, and two-system accounts of reasoning: a rejoinder to Oaksford and Chater’ (2016) in Thinking and Reasoning. It is argued that causation is basic in human cognition and that explaining how abnormality lists are created in LP requires causal models. Each specific rejoinder to the original critique is then addressed. While many areas of agreement are identified, with respect to the key differences, it is concluded the current evidence favours the Bayesian approach, at least for the moment.     

Setiya on reasons and causes

Setiya [2013. “Causality in Action”. Analysis Reviews, 73 (3): pp. 512–525] recently gave a novel argument in favor of a causal theory of acting for a reason. He presents three principles relating acting for a reason to psychological states of the agent and uses them to test theories of acting for a reason: theories cannot explain the necessary truth of the conditionals are to be rejected. Surveying a number of alternatives, he finds that only a causal-psychological theory passes this test, that, thus, it must be correct, and that there must be a solution to the problem of deviant causation. Setiya's challenge is forceful, but he does not establish his conclusion. The anticausalist can at this point reverse it: since deviant causation is intractable, some noncausal theory must be able to meet his challenge. This reversal has teeth: Setiya underestimates both the challenges that causal theories face and the resources available to the anticausalist to address his challenge.     

Counterfactual thinking as an issue between language and pretend play / El pensamiento contrafactual como un problema entre el lenguaje y el juego de simulación

Discussions on counterfactual thinking (CT) have been focused on whether it is a language skill or it emerges spontaneously before language acquisition. This paper surveys the most compelling arguments regarding these frameworks: (1) the approach ‘CT as a language skill’; (2) those who claim that pretending shows that children have CT; (3) those who consider pretend play is a rehearsal for cognitive dispositions. I shall point out that the three approaches on CT are incomplete: (1) neglects pretend play (which prelinguistic children perform) as an instantiation of the CT; (2) puts too much emphasis on the linguistic dimension of pretense; (3) is highly demanding on the cognitive architecture that we ought to have by nature — the so-called children as scientists.     

幼儿朴素理论发展的研究现状

朴素物理学、朴素生物学和朴素心理学是幼儿朴素理论发展的三个核心领域,本体集合、因果原则集合和内部一致的知识体系则是朴素理论的三个重要成分。该文以幼儿对三个核心领域的因果认知发展为中心,以朴素理论三个重要组成成分为线索,对近期幼儿朴素理论发展的研究成果进行了简要的介绍和讨论,并提出进一步研究所需要解决的问题。     

Theology, Science, and Postmodernism: Responding to Stanley Grenz

This article responds to Stanley J. Grenz's Templeton Lecture, “Why Do Theologians Need to Be Scientists?” published in the June 2000 issue of Zygon (Grenz 2000). In the first part I outline my reasons for finding the kind of theological reflections in which Grenz engages worthy of attention by noting my disagreement with the view that a sufficient response to theological issues can be formulated on the basis of an examination of our biological nature. I assert, in that connection, the autonomy of reason as a way of investigating and understanding the world. In the second part I respond directly to Grenz by explaining my disagreement with the postmodern critique of science upon which he relies and his adherence to Christian eschatology as an answer to the conundrums into which, he posits, we are drawn as a result of that critique. I note that I agree with Grenz, however, that the activity of valuing is necessarily a forward‐looking Godlike endeavor that is not derivable from science. In the third part I suggest that we must be open to the investigation of the possible existence of an objective realm of value and that, in any case, rejection of the postmodern critique of science in many cases pro‐vides a sound basis for the disciplined resolution of factual questions that frequently lie at the base of disagreements about values.     

Ambiguity and explanation

This paper presents evidence that ‘because’ is importantly ambiguous between two closely related senses covering what are usually called causal explanations, on the one hand, and grounding or metaphysical explanations, on the other hand. To this end, it introduces the lexical categories of monosemy, polysemy and homonymy; describes a test for polysemy; and discusses the results of the test when applied to ‘because’. It also shows how to understand so-called hybrid explanations in light of the semantic facts established by the analysis.     

Agent causation as a solution to the problem of action

My primary aim is to defend a nonreductive solution to the problem of action. I argue that when you are performing an overt bodily action, you are playing an irreducible causal role in bringing about, sustaining, and controlling the movements of your body, a causal role best understood as an instance of agent causation. Thus, the solution that I defend employs a notion of agent causation, though emphatically not in defence of an account of free will, as most theories of agent causation are. Rather, I argue that the notion of agent causation introduced here best explains how it is that you are making your body move during an action, thereby providing a satisfactory solution to the problem of action.     

A mechanistic perspective on canonical neural computation

Although it has been argued that mechanistic explanation is compatible with abstraction (i.e., that there are abstract mechanistic models), there are still doubts about whether mechanism can account for the explanatory power of significant abstract models in computational neuroscience. Chirimuuta has recently claimed that models describing canonical neural computations (CNCs) must be evaluated using a non-mechanistic framework. I defend two claims regarding these models. First, I argue that their prevailing neurocognitive interpretation is mechanistic. Additionally, a criterion recently proposed by Levy and Bechtel to legitimize mechanistic abstract models, and also a criterion proposed by Chirimuuta herself aimed to distinguish between causal and non-causal explanation, can be employed to show why these models are explanatory only under this interpretation (as opposed to a purely mathematical or non-causal interpretation). Second, I argue that mechanism is able to account for the special epistemic achievement implied by CNC models. Canonical neural components contribute to an integrated understanding of different cognitive functions. They make it possible for us to explain these functions by describing different mechanisms constituted by common basic components arranged in different ways.     

Reconciling Compensatory and Noncompensatory Strategies of Cue Weighting: A Causal Model Approach

When forming a judgment about any unknown item, people must draw inferences from information that is already known. This paper examines causal relationships between cues as a relevant factor influencing how people determine the amount of weight to place on each piece of available evidence. We propose that people draw from their beliefs about specific causal relationships between cues when determining how much weight to place on those cues, and that understanding this process can help reconcile differences between predictions of compensatory and lexicographic heuristic strategies. As causal relationships change, different cues become more or less important. Across three experiments, we find support for the use of causal models in determining cue weights, but leave open the possibility that they work in concert with other strategies as well. We conclude by discussing relative strengths and weaknesses of the causal model approach relative to existing models, and suggest areas for future research. Copyright © 2016 John Wiley & Sons, Ltd.