Absence Causation and a Liberal Theory of Causal Explanation

For the framework of event causation—i.e. the framework according to which causation is a relation between events—absences or omissions pose a problem. Absences, it is generally agreed, are not events; so, under the framework of event causation, they cannot be causally related. But, as a matter of fact, absences are often taken to be causes or effects. The problem of absence causation is thus how to make sense of causation that apparently involves absences as causes or effects. In an influential paper, Helen Beebee offers a partial solution to the problem by giving an account of causation by absence (i.e. causation in which absences are supposed to be causes). I argue that Beebee's account can be extended to cover causation of absence (i.e. causation in which absences are supposed to be effects) as well. More importantly, I argue that the extended Beebeeian account calls for a major modification to David Lewis's theory of causal explanation, usually taken as standard. Compared to the standard theory, the result of this modification, which I shall call ‘the liberal theory of causal explanation’, has, among other things, the advantage of being able to accommodate causal explanations in which the explananda are not given in terms of events.     

Cause by Omission and Norm: Not Watering Plants

People generally accept that there is causation by omission—that the omission of some events cause some related events. But this acceptance elicits the selection problem, or the difficulty of explaining the selection of a particular omissive cause or class of causes from the causal conditions. Some theorists contend that dependence theories of causation cannot resolve this problem. In this paper, we argue that the appeal to norms adequately resolves the selection problem for dependence theories, and we provide novel experimental evidence for it.     

Seventy Years in Philosophy of Mind: An Overview,with Emphasis on the Issue of Mental Causation

This paper is an opinionated overview of major developments in philosophy of mind during the past seventy years, with emphasis on the issue of mental causation. Its most prominent positions all embrace a broadly “naturalistic” or “materialistic” conception of human beings, and of mentality and its place in nature. Included in this paper are discussions of analytical behaviorism, the psychophysical identity theory, functionalism, multiple realizability and strong multiple realizability, supervenience, the causal exclusion problem, phenomenal mental states, wide content, contextualist causal compatibilism, agentive phenomenology, and the agent-exclusion problem.     

Understanding the Influence Theory of Causation: A Critique of Strevens

In this paper, I will first clarify Lewis’s influence theory of causation by relying on his theory of events. And then I will consider Michael Strevens’s charge against the sufficiency of Lewis’s theory. My claim is that it is legitimate but does not pose as serious a problem for Lewis’s theory as Strevens thinks because Lewis can surmount it by limiting the scope of his theory to causation between concrete events. Michael Strevens raises an alleged counterexample to the necessity of Lewis’s theory that, if successful, would have a very important advantage over other alleged counterexamples. But I will assert that it is simply mistaken. My defense of Lewis’s theory will shed interesting light on the relationship between Lewis’s theory and Salmon’s mark theory.     

Commentary: Prevention/Intervention Trials and Developmental Theory: Commentary on the Fast Track Special Section

Well-conducted prevention and intervention research has the potential to serve the dual ends of enhancing children's adaptive outcomes and elucidating important developmental processes and mechanisms related to change. Admirably, the Fast Track preventive intervention was conceived in accord with explicit developmental theory related to the development of conduct problems. Herein, I consider how the present reports of grade-3 outcomes allow examination of causal processes and developmental mechanisms related to the effects uncovered, featuring the constructs of prediction, moderation, and particularly mediation. The multifaceted, intensive nature of the Fast Track preventive intervention is at once a clinical strength and a liability in terms of isolating causal processes underlying child change. I also consider issues related to the random assignment of the investigation and to policies that may emerge from the findings. In all, research that aims to identify relevant developmental and causal processes must incorporate both experimental and nonexperimental paradigms that are conceptualized from the outset with explanatory purposes in mind.     

Consistent Treatment of Variables and Causation Poses a Challenge for Behavioral Research Methods: A Commentary on Nesselroade and Molenaar (2016)

Nesselroade and Molenaar presented the ideographic filter as a proposal for analyzing lawful regularities in behavioral research. The proposal highlights an inconsistency that poses a challenge for behavioral research more generally. One can distinguish a broadly Humean approach from a broadly non-Humean approach as they relate to variables and to causation. Nesselroade and Molenaar rejected a Humean approach to latent variables that characterizes them as nothing more than summaries of their manifest indicators. By contrast, they tacitly accepted a Humean approach to causes characterized as nothing more than summaries of their manifest causal effects. A non-Humean treatment of variables coupled with a Humean treatment of causation creates a theoretical tension within their proposal. For example, one can interpret the same model elements as simultaneously representing both variables and causes. Future refinement of the ideographic filter proposal to address this tension could follow any of a number of strategies.     

不充裕加工时间对高于平均效应和低于平均效应的影响

本研究以不充裕加工时间为条件,结果在先、后指定两种范式中都出现了显著的高于平均效应和低于平均效应。先指定范式在不充裕加工时间下,被试采用和折中标准相比的策略;后指定范式无论加工时间充裕与否,被试都采用和折中标准相比的策略。研究结果支持将目标和折中标准相比是高于平均效应和低于平均效应产生的原因。     

The second offspring of General Process Learning Theory: Overt behavior as the ambassador of the mind

Wasserman suggested in a recent book review that the study of intervening cognitive processes represents a current focus of interest in animal learning and that this has led to a revitalization of comparative psychology. An examination of the volume reviewed suggests that he may have overstated the case. Most of the authors to whom he refers expressed dissatisfaction with traditional stimulus-response associationism but few argued for the extreme (information processing) sort of cognitive approach described by Wasserman.     

Causal Inference from Descriptions of Experimental and Non-Experimental Research: Public Understanding of Correlation-Versus-Causation

The human tendency to conflate correlation with causation has been lamented by various scientists (Kida, 2006; Stanovich, 2009), and vivid examples of it can be found in both the media and peer-reviewed literature. However, there is little systematic data on the extent to which individuals conflate correlation with causation. In three experiments, we presented people with one of four research vignettes generated from the combination of two independent variables: whether the vignette described an experimental or non-experimental design, and whether it revealed a positive or negative association. Upon reading their vignette, participants selected inferences that could be drawn from the findings. Participants drew causal inferences from non-experimental vignettes as often as they did from experimental vignettes, and more frequently for causal statements and directions of association that fit with intuitive notions than for those that did not. We discuss our findings in relation to other biases in human thinking.     

Temporal Relations vs. Logical Reduction: A Phenomenal Theory of Causality

Kant, in various parts of his treatment of causality, refers to determinism or the principle of sufficient reason as an inescapable principle. In fact, in the Second Analogy we find the elements to reconstruct a purely phenomenal determinism as a logical and tautological truth. I endeavour in this article to gather these elements into an organic theory of phenomenal causality and then show, in the third section, with a specific argument which I call the “paradox of phenomenal observation”, that this phenomenal determinism is the only rational approach to causality because any logico-reductivistic approach, such as the Humean one, would destroy the temporal order and so the very possibility to talk of a causal relation. I also believe that, all things said, Kant did not achieve a much greater comprehension of the problem than Hume did, in his theory of causality, for he did not free a phenomenal approach from the impasse of reductivism as his reflections on “simultaneous causation” and “vanishing quantities” indeed show, and this I will argue in Sect. 4 of this article.

New perspectives on theories linking cognition,emotion, and context: A proposal from the Theory of Analysis of Demand

Both scholars and practitioners acknowledge that the major factors explaining behavior are cognition, emotion, and context. However, existing theories tend to only focus on a combination of two. Furthermore, not all models are rooted in a specific theory of mind. Finally, there is no consistent definition of ‘mind.’ To address these issues, we review the major models explaining behavior. We then describe the Theory of Analysis of Demand (TAD), an interactionist (individual-context) model of functioning of mind that thoroughly addresses the conjoint interplay of cognition, emotion, and context. A key concept of the TAD is emotional symbolization, the process of relating one’s experiences of the external context with an inevitable emotional reaction. By considering an intersection among cognition, emotion, and context, TAD fills the gap in the existing literature and expands our understanding of behavior. Moreover, we describe the TAD intervention methodology, Individual-Setting of intervention-Organization technique, which explores an individual’s demand for intervention and the underlying emotion-, cognition-, and context-related categories (i.e., emotional symbolization) that prompt the request. Last, we discuss the potential benefits and boundary conditions of the TAD to integrate existing approaches.     

家庭微系统对幼儿心理理论的影响:因素、过程和机制

基于国内外家庭对幼儿心理理论影响的研究,可将家庭微系统分成三个子系统:家庭基本环境子系统(包含家庭社会经济地位和兄弟姐妹数量类型)、父母与儿童互动子系统(包含依恋类型、教养方式、情绪表达和亲子游戏)和兄弟姐妹与儿童互动子系统(包含合作冲突和假装游戏)。家庭微系统对幼儿心理理论的影响机制模型可假设为:家庭基本环境子系统中家庭社会经济地位影响着父母与儿童互动子系统,兄弟姐妹数量类型影响着兄弟姐妹与儿童互动子系统。父母与儿童互动子系统、兄弟姐妹与儿童互动子系统中的各变量均通过心理状态术语使用这一中介变量进而影响儿童心理理论的发展。该模型需要实证研究加以进一步验证。     

模糊痕迹理论:对经典认知发展理论的挑战

近几十年来,推理和记忆的发展涌现出来的大量的实验结果对经典认知发展理论构成了挑战。对此,Reyna和Bminerd提出模糊痕迹理论试图解释以上研究成果。本文对该理论的核心内容和主要应用领域作了介绍。文末,对该理论作了简评。     

Counterfactual and Factual Reflection: The Influence of Past Misdeeds on Future Immoral Behavior

Though the decision to behave immorally is situated within the context of prior immoral behavior, research has provided contradictory insights into this process. In a series of experiments, we demonstrate that the effects of prior immoral behavior depend on how individuals think about, or reflect on, their immoral behavior. In Experiment 1, participants who reflected counterfactually on their prior moral lapses morally disengaged (i.e., rationalized) less than participants who reflected factually. In Experiment 2, participants who reflected counterfactually on their prior moral lapses experienced more guilt than those who reflected factually. Finally, in Experiments 3 and 4, participants who reflected counterfactually lied less on unrelated tasks with real monetary stakes than those who reflected factually. Our studies provide important insights into moral rationalization and moral compensation processes and demonstrate the profound influence of reflection in everyday moral life.     

Patterns of psychotherapy development: A mixed-method analysis using assimilation indices

Understanding how assimilation develops is essential in promoting personal change. By attending to signs or indices of assimilation in the speech of clients, therapists can use this process to assess how the therapy is developing and to tailor intervention. The system of assimilation indices was developed to use assimilation to understand the process of change. This system signals five sub-processes of assimilation: external distress, pain, noticing, decentring, and action. This study consisted of a longitudinal mixed-method analysis, following a multiple cases embedded design. The system of assimilation indices was applied to the recordings of nine psychotherapies and contrasted with both the outcome of the therapy and the perspectives of the therapists and clients about their therapy process. The results show that the system of indices is useful in understanding multiple pathways for assimilation. The system of indices is seen as a useful tool for understanding assimilation and as having clinical value in anticipating challenges to the success of the therapy. This study also shows how the indices are sensitive to the nuances in the change process observed in clinical settings.     

A Bayesian Theory of Sequential Causal Learning and Abstract Transfer

Two key research issues in the field of causal learning are how people acquire causal knowledge when observing data that are presented sequentially, and the level of abstraction at which learning takes place. Does sequential causal learning solely involve the acquisition of specific cause‐effect links, or do learners also acquire knowledge about abstract causal constraints? Recent empirical studies have revealed that experience with one set of causal cues can dramatically alter subsequent learning and performance with entirely different cues, suggesting that learning involves abstract transfer, and such transfer effects involve sequential presentation of distinct sets of causal cues. It has been demonstrated that pre‐training (or even post‐training) can modulate classic causal learning phenomena such as forward and backward blocking. To account for these effects, we propose a Bayesian theory of sequential causal learning. The theory assumes that humans are able to consider and use several alternative causal generative models, each instantiating a different causal integration rule. Model selection is used to decide which integration rule to use in a given learning environment in order to infer causal knowledge from sequential data. Detailed computer simulations demonstrate that humans rely on the abstract characteristics of outcome variables (e.g., binary vs. continuous) to select a causal integration rule, which in turn alters causal learning in a variety of blocking and overshadowing paradigms. When the nature of the outcome variable is ambiguous, humans select the model that yields the best fit with the recent environment, and then apply it to subsequent learning tasks. Based on sequential patterns of cue‐outcome co‐occurrence, the theory can account for a range of phenomena in sequential causal learning, including various blocking effects, primacy effects in some experimental conditions, and apparently abstract transfer of causal knowledge.