Making Sense of Interlevel Causation in Mechanisms from a Metaphysical Perspective

According to the new mechanistic approach, an acting entity is at a lower mechanistic level than another acting entity if and only if the former is a component in the mechanism for the latter. Craver and Bechtel :547–563, 2007. doi:10.1007/s10539-006-9028-8) argue that a consequence of this view is that there cannot be causal interactions between acting entities at different mechanistic levels. Their main reason seems to be what I will call the Metaphysical Argument: things at different levels of a mechanism are related as part and whole; wholes and their parts cannot be related as cause and effect; hence, interlevel causation in mechanisms is impossible. I will analyze this argument in more detail and show under which conditions it is valid. This analysis will reveal that interlevel causation in mechanisms is indeed possible, if we take seriously the idea that the relata of the mechanistic level relation are acting entities and accept a slightly modified notion of a mechanistic level that is highly plausible in the light of the first clarification

Extended Cognition, The New Mechanists’ Mutual Manipulability Criterion, and The Challenge of Trivial Extendedness

Many authors have turned their attention to the notion of constitution to determine whether the hypothesis of extended cognition (EC) is true. One common strategy is to make sense of constitution in terms of the new mechanists’ mutual manipulability account (MM). In this paper I will show that MM is insufficient. The Challenge of Trivial Extendedness arises due to the fact that mechanisms for cognitive behaviors are extended in a way that should not count as verifying EC. This challenge can be met by adding a necessary condition: cognitive constituents satisfy MM and they are what I call behavior unspecific

Saving the mutual manipulability account of constitutive relevance

Constitutive mechanistic explanations are said to refer to mechanisms that constitute the phenomenon-to-be-explained. The most prominent approach of how to understand this constitution relation is Carl Craver’s mutual manipulability approach to constitutive relevance. Recently, the mutual manipulability approach has come under attack (Leuridan 2012; Baumgartner and Gebharter 2015; Romero 2015; Harinen 2014; Casini and Baumgartner 2016). Roughly, it is argued that this approach is inconsistent because it is spelled out in terms of interventionism (which is an approach to causation), whereas constitutive relevance is said to be a non-causal relation. In this paper, I will discuss a strategy of how to resolve this inconsistency, so-called fat-handedness approaches (Baumgartner and Gebharter 2015; Casini and Baumgartner 2016; Romero 2015). I will argue that these approaches are problematic. I will present a novel suggestion of how to consistently define constitutive relevance in terms of interventionism. My approach is based on a causal interpretation of mutual manipulability, where manipulability is interpreted as a causal relation between the mechanism’s components and temporal parts of the phenomenon

A Regularist Approach to Mechanistic Type-Level Explanation

Most defenders of the new mechanistic approach accept ontic constraints for successful scientific explanation (Illari 2013; Craver 2014). The minimal claim is that scientific explanations have objective truthmakers, namely mechanisms that exist in the physical world independently of any observer and that cause or constitute the phenomena-to- be-explained. How can this idea be applied to type-level explanations? Many authors at least implicitly assume that in order for mechanisms to be the truthmakers of type-level explanation they need to be regular (Andersen 2012; Sheredos 2015). One problem of this assumption is that most mechanisms are (highly) stochastic in the sense that they “fail more often than they succeed” (Bogen 2005; Andersen 2012). How can a mechanism type whose instances are more likely not to produce an instance of a particular phenomenon type be the truthmaker of the explanation of that particular phenomenon type? In this paper, I will give an answer to this question. I will analyze the notion of regularity and I will discuss Andersen's suggestion for how to cope with stochastic mechanisms. I will argue that her suggestion cannot account for all kinds of stochastic mechanisms and does not provide an answer as to why regularity grounds type-level explanation. According to my analysis, a mechanistic type- level explanation is true if and only if at least one of the following two conditions is satisfied: the mechanism brings about the phenomenon more often than any other phenomenon (comparative regularity) or the phenomenon is more often brought about by the mechanism than by any other mechanism/causal sequence (comparative reverse regularity)

Der Sitz des Geistes und das Unbewusste - Philosophische Probleme im Lichte Situierter Ansätze

Das Unbewusste ist wieder in aller Munde: Populärwissenschaftliche Bücher, die den unbewussten Geist thematisieren, werden internationale Bestseller 1 und es gibt sicherlich keine populärwissenschaftliche Psychologie-Zeitschrift, die nicht schon mehrfach über das Thema berichtet hat2 . Dieses neue Interesse am unbewussten Geist ist vor allem neuen Erkenntnissen aus der kognitiven Psychologie und der Sozialpsychologie zu verdanken

The Unconscious Mind Worry: A Mechanistic-Explanatory Strategy

Recent findings in different areas of psychology and cognitive science have brought the discussion of the unconscious mind back to center stage. However, the unconscious mind worry remains: What renders unconscious phenomena mental? In the present paper, I will suggest a new strategy for answering this question. This strategy rests on the idea that categorizing unconscious phenomena as “mental” should come out as scientifically useful relative to the explanatory goals of unconscious mind research. I will argue that this is the case if by categorizing an unconscious phenomenon as “mental” one picks out explanatorily relevant similarities between that phenomenon and a corresponding paradigmatically mental phenomenon, i.e., a conscious one. Explanatory relevance is spelled out in terms of the mechanistic norms of scientific explanation

Cognitive Ontology in Terms of Cognitive Homology: The Role of Brain, Behavior, and Environment for Individuating Cognitive Categories

How should scientists carve up cognition to generate good predictions, explanations, and models of cognition? This chapter argues that cognitive categories should be constructed the same way that biological categories are: in terms of homology. The chapter adapts a developmental account of trait identity from evolutionary-developmental biology to make sense of the notion of “cognitive homology.” The consequence is that both brain structures and the organism’s ongoing interactions with the environment are crucial for individuating cognitive homologies, and thus for cognitive ontology

The Metaphysics of Constitutive Mechanistic Phenomena

The central aim of this article is to specify the ontological nature of constitutive mechanistic phenomena (that is, of phenomena that are explained in constitutive mechanistic explanations). After identifying three criteria of adequacy that any plausible approach to constitutive mechanistic phenomena must satisfy, we present four different suggestions, found in the mechanistic literature, of what mechanistic phenomena might be. We argue that none of these suggestions meets the criteria of adequacy. According to our analysis, constitutive mechanistic phenomena are best understood as what we will call ‘object-involving occurrents’. Furthermore, on the basis of this notion, we will clarify what distinguishes constitutive mechanistic explanations from etiological ones

Individuation of Cross-Cutting Causal Systems in Cognitive Science and Behavioral Ecology

For many causal endeavors, such as measuring, predicting, and explaining, individuating causal systems plays a crucial role. In this chapter, we focus on the individuation of a specific type of causal systems, what we call cross-cutting systems. These are systems that lack natural boundaries and that are not restricted to the spatiotemporal region of the individuals to which they belong. Based on examples taken from cognitive science and behavioral ecology, we explore how scientists individuate such cross-cutting causal systems