Agents,objects, and their powers in Suarez and Hobbes

The paper examines the place of power in the action theories of Francisco Suarez and Thomas Hobbes. Power is the capacity to produce or determine outcomes. Two cases of power are examined. The first is freedom or the power of agents to determine for themselves what they do. The second is motivation, which involves a power to which agents are subject, and by which they are moved to pursue a goal. Suarez, in the Metaphysical Disputations, uses Aristotelian causation to model these two forms of power. Freedom is efficient causation, but in a special form that I explain as involving something that ordinary causation does not – the contingent determination of outcomes. Motivating power is final causation, which Suarez characterizes as the power of a goal or end to move us to attain it through its goodness or desirability. Suarez regards these two forms of power as consistent – we can be moved by the goodness of a goal freely to determine for ourselves that we act in order to attain it. Hobbes denied the existence of all forms of power beyond ordinary causation, the power of one motion in matter to determine another. So he denied the very existence both of freedom and of any form of motivating power beyond the ordinary causal power of desires as materially based psychological states to produce actions. The goodness itself of a goal never moves us, whether to desire the goal in the first place or to act in order to attain it. The paper examines Hobbes’s arguments and their consequence – establishing the foundations for Hume’s scepticism about practical reason.     

Emergence,Supervenience, and Realization

In the first section of this paper, I articulate Jaegwon Kim's argument against emergent down ward causation. In the second section, I canvas four responses to Kim's argument and argue that each fails. In the third section, I show that emergent downward causation does not, contra Kim, entail overdetermination. I argue that supervenience of emergent upon base properties is not sufficient for nomological causal relationsbetween emergent and base properties. What sustains Kim's argument is rather the claim that emergent properties realized by base properties can have no causal powers distinct from those base properties. I argue that this is false.     

Invariant Ordering of Item-Total Regressions

A new observable consequence of the property of invariant item ordering is presented, which holds under Mokken’s double monotonicity model for dichotomous data. The observable consequence is an invariant ordering of the item-total regressions. Kendall’s measure of concordance W and a weighted version of this measure are proposed as measures for this property. Karabatsos and Sheu proposed a Bayesian procedure (Appl. Psychol. Meas. 28:110–125, 2004), which can be used to determine whether the property of an invariant ordering of the item-total regressions should be rejected for a set of items. An example is presented to illustrate the application of the procedures to empirical data.     

Identical Twins,Deduction Theorems,and Pattern Functions: Exploring the Implicative BCSK Fragment of S5

We recapitulate (Section 1) some basic details of the system of implicative BCSK logic, which has two primitive binary implicational connectives, and which can be viewed as a certain fragment of the modal logic S5. From this modal perspective we review (Section 2) some results according to which the pure sublogic in either of these connectives (i.e., each considered without the other) is an exact replica of the material implication fragment of classical propositional logic. In Sections 3 and 5 we show that for the pure logic of one of these implicational connectives two – in general distinct – consequence relations (global and local) definable in the Kripke semantics for modal logic turn out to coincide, though this is not so for the pure logic of the other connective, and that there is an intimate relation between formulas constructed by means of the former connective and the local consequence relation. (Corollary 5.8. This, as we show in an Appendix, is connected to the fact that the ‘propositional operations’ associated with both of our implicational connectives are close to being what R. Quackenbush has called pattern functions.) Between these discussions Section 4 examines some of the replacement-of-equivalents properties of the two connectives, relative to these consequence relations, and Section 6 closes with some observations about the metaphor of identical twins as applied to such pairs of connectives.     

A Deliberative Approach to Causation

Fundamental physics makes no clear use of causal notions; it uses laws that operate in relevant respects in both temporal directions and that relate whole systems across times. But by relating causation to evidence, we can explain how causation fits in to a physical picture of the world and explain its temporal asymmetry. This paper takes up a deliberative approach to causation, according to which causal relations correspond to the evidential relations we need when we decide on one thing in order to achieve another. Tamsin's taking her umbrella is a cause of her staying dry, for example, if and only if her deciding to take her umbrella for the sake of staying dry is adequate grounds for believing she'll stay dry. This correspondence explains why causation matters: knowledge of causal structure helps us make decisions that are evidence of outcomes we seek. The account also explains why we can control the future and not the past, and why causes come before their effects. When agents properly deliberate, their decisions can never count as evidence for any outcomes they may seek in the past. From this it follows that causal relations don't run backwards. This deliberative asymmetry is itself traced back to asymmetries of evidence and entropy, providing a new way of deriving causal asymmetry from temporally symmetric laws.     

Goodness, Values, Reasons

Contemporary value theory has been characterized by a renewed interest in the analysis of concepts like “good” or “valuable”, the most prominent pattern of analysis in recent years being the socalled buck-passing or fitting-attitude analysis which reduces goodness to a matter of having properties that provide reasons for pro-attitudes. Here I argue that such analyses are best understood as metaphysical rather than linguistic and that while the buck-passing analysis has some virtues, it still fails to provide a suitably wide-ranging pattern of analysis for conceptualizing evaluative properties. Instead, a better alternative can be found in a metaphysical version of the Geachean view that goodness is always attributive and never predicative, namely that goodness is always a matter of relative placement in certain kinds of comparison classes. It is then suggested that the good and the valuable need to be separated from each other and that the latter is a species of the former.     

A hybrid model of learning to solve physics problems

Abstract

The current state of the debate between proponents of connectionism and defenders of traditional, symbolic modelling is used as the basis of an argument for the potential usefulness of hybrid models, in which principles of both connectionist and symbolic models are combined. The possible merits of hybrid models are illustrated by showing how a hybrid model of aspects of expertise development in physics problem solving might be superior to existing models. In the hybrid model, which is capable of solving simple mechanics problems and of learning from its own solutions, a distributed memory module is linked to a classical production system. In the distributed memory module, associations between problem statements and useful subgoals are stored. These subgoals serve to guide the inference process carried out by the production system, making the system's solutions more efficient as learning proceeds. The results of a simulation experiment indicate that the trained system's solutions closely correspond to those generated by human experts, and that the hybrid model probably offers a better account of the development and nature of expert reasoning than existing symbolic models.     

Direct Versus Indirect Causation as a Semantic Linguistic Universal: Using a Computational Model of English,Hebrew, Hindi,Japanese, and K'iche’ Mayan to Predict Grammaticality Judgments in Balinese

The aim of this study was to test the claim that languages universally employ morphosyntactic marking to differentiate events of more- versus less-direct causation, preferring to mark them with less- and more- overt marking, respectively (e.g., Somebody broke the window vs. Somebody MADE the window break; *Somebody cried the boy vs. Somebody MADE the boy cry). To this end, we investigated whether a recent computational model which learns to predict speakers’ by-verb relative preference for the two causatives in English, Hebrew, Hindi, Japanese, and K'iche’ Mayan is able to generalize to a sixth language on which it has never been trained: Balinese. Judgments of the relative acceptability of the less- and more-transparent causative forms of 60 verbs were collected from 48 native-speaking Balinese adults. The composite crosslinguistic computational model was able to predict these judgments, not only for verbs that it had seen, but also––in a split-half validation test––to verbs that it had never seen in any language. A “random-semantics” model showed only a relatively small decrement in performance with seen verbs, whose behavior can be learned on a verb-by-verb basis, but achieved zero correlation with human judgments when generalizing to unseen verbs. Together, these findings suggest that Balinese conceptualizes directness of causation in a similar way to these unrelated languages, and therefore constitute support for the view that the distinction between more- versus less-distinct causation constitutes a morphosyntactic universal.     

Non-Cartesian Substance Dualism and the Problem of Mental Causation

Non-Cartesian substance dualism (NCSD) maintains that persons or selves are distinct from their organic physical bodies and any parts of those bodies. It regards persons as ‘substances’ in their own right, but does not maintain that persons are necessarily separable from their bodies, in the sense of being capable of disembodied existence. In this paper, it is urged that NCSD is better equipped than either Cartesian dualism or standard forms of physicalism to explain the possibility of mental causation. A model of mental causation adopting the NCSD perspective is proposed which, it is argued, is consistent with all that is currently known about the operations of the human central nervous system, including the brain. Physicalism, by contrast, seems ill-equipped to explain the distinctively intentional or teleological character of mental causation, because it effectively reduces all such causation to ‘blind’ physical causation at a neurological level.     

Cognitive Discrepancy,Dissonance, and Selective Exposure

Abstract

Although cognitive dissonance is regarded as one of the most recognized causes of selective exposure [N. J. Stroud, Niche News (Oxford University Press, 2011)], the mechanism for such causation is still unclear. By inducing dissonance in a web-based experiment, this study demonstrates how cognitive dissonance relates to information preferences—the intention to seek congruent information and the intention to seek incongruent information. The findings suggest that perceived hostility with respect to one’s belief (cognitive discrepancy) can enhance the intention to seek out for attitude-consistent information. More importantly, individuals were found to have the intention to avoid counterattitudinal information, but only when they experienced some sort of psychological discomfort (dissonance). In other words, while cognitive discrepancy leads individuals to crave for confirming information, only those who encounter negative emotions are likely to employ avoidance of disconfirming information as a dissonance-reduction strategy.     

How emotion shapes behavior: feedback, anticipation, and reflection, rather than direct causation.

Fear causes fleeing and thereby saves lives: this exemplifies a popular and common sense but increasingly untenable view that the direct causation of behavior is the primary function of emotion. Instead, the authors develop a theory of emotion as a feedback system whose influence on behavior is typically indirect. By providing feedback and stimulating retrospective appraisal of actions, conscious emotional states can promote learning and alter guidelines for future behavior. Behavior may also be chosen to pursue (or avoid) anticipated emotional outcomes. Rapid, automatic affective responses, in contrast to the full-blown conscious emotions, may inform cognition and behavioral choice and thereby help guide current behavior. The automatic affective responses may also remind the person of past emotional outcomes and provide useful guides as to what emotional outcomes may be anticipated in the present. To justify replacing the direct causation model with the feedback model, the authors review a large body of empirical findings.     

Time and Singular Causation—A Computational Model

Causal queries about singular cases, which inquire whether specific events were causally connected, are prevalent in daily life and important in professional disciplines such as the law, medicine, or engineering. Because causal links cannot be directly observed, singular causation judgments require an assessment of whether a co-occurrence of two events c and e was causal or simply coincidental. How can this decision be made? Building on previous work by Cheng and Novick (2005) and Stephan and Waldmann (2018), we propose a computational model that combines information about the causal strengths of the potential causes with information about their temporal relations to derive answers to singular causation queries. The relative causal strengths of the potential cause factors are relevant because weak causes are more likely to fail to generate effects than strong causes. But even a strong cause factor does not necessarily need to be causal in a singular case because it could have been preempted by an alternative cause. We here show how information about causal strength and about two different temporal parameters, the potential causes' onset times and their causal latencies, can be formalized and integrated into a computational account of singular causation. Four experiments are presented in which we tested the validity of the model. The results showed that people integrate the different types of information as predicted by the new model.     

Is Dispositional Causation Just Mutual Manifestation?

Dispositional properties are often referred to as ‘causal powers’, but what does dispositional causation amount to? Any viable theory must account for two fundamental aspects of the metaphysics of causation – the causal complexity and context sensitivity of causal interactions. The theory of mutual manifestations attempts to do so by locating the complexity and context sensitivity within the nature of dispositions themselves. But is this theory an acceptable first step towards a viable theory of dispositional causation? This paper argues that the reconceptualization that the theory entails comes at too high a price, and is an unnecessary step in the wrong direction: these two central aspects concerning the metaphysics of causation can and should be accounted for in a dispositional account of causation without it.     

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.     

Individual Consequences Versus Different Shared Consequences Contingent on the Performance of Low-Achieving Group Members1

The effects of four reinforcement conditions (individual consequence, group-shared consequence, and two different proportions of individual and group-shared consequence) on (a) peer tutoring, (b) arithmetic performance, (c) studying, (d) nonstudying, and (e) disruptive behavior were measured employing 60 experimental and 34 comparison children from three fifth-grade classes in an inner-city school. The 100% shared consequence consistently produced the highest incidence of peer tutoring as well as the greatcst increment in the number of correct problems, both within and between periods. As the proportion of shared consequences decreased, the number of problems worked correctly decreased. Concurrently, the incidence in peer tutoring decreased as the proportion of shared consequences decreased. All consequences maintained high rates of studying behaviors and low rates of nonstudying and disruptive behaviors. The results of this study suggest that shared consequences may be useful in creating cooperative work patterns and increasing arithmetic performance in classroom settings.     

Dynamical Systems Theory as an Approach to Mental Causation

Summary  Dynamical systems theory (DST) is gaining popularity in cognitive science and philosophy of mind. Recently several authors (e.g. J.A.S. Kelso, 1995; A. Juarrero, 1999; F. Varela and E. Thompson, 2001) offered a DST approach to mental causation as an alternative for models of mental causation in the line of Jaegwon Kim (e.g. 1998). They claim that some dynamical systems exhibit a form of global to local determination or downward causation in that the large-scale, global activity of the system governs or constrains local interactions. This form of downward causation is the key to the DST model of mental causation. In this paper I evaluate the DST approach to mental causation. I will argue that the main problem for current DST approaches to mental causation is that they lack a clear metaphysics. I propose one metaphysical framework (Gillett, 2002a/b/c) that might deal with this deficiency.     

Causal Powers, Realization, and Mental Causation

Sydney Shoemaker has attempted to save mental causation by a new account of realization. As Brian McLaughlin argues convincingly, the account has to face two major problems. First, realization does not guarantee entailment. So even if mental properties are realized by physical properties, they need not be entailed by them. This is the first, rather general metaphysical problem. A second problem, which relates more directly to mental causation is that Shoemaker must appeal to some kind of proportionality as a constraint on causation in order to avoid redundant mental causation. I argue that, in addition, a “piling problem” arises, since causal powers seem to be bestowed twice. Then, I try to sketch an alternative view of the relation between causal powers and properties—a reductionist view—which fares better on some accounts. But it may have to face another and, perhaps, serious problem, the “problem of the natural unity of properties”. Finally, I will pose a question about the relation between causal powers and causation.

---

Chaos, Communications Theory, and God's Abundance

As the creator, God is the source of the abundance for immense variety manifest in creation. The reservoir for this abundance is the primordial chaos, identified as the Pandemonium Tremendum. God manages this inexhaustible “storehouse of the snow” through decisions or “willings,” giving rise to constraints that result in the ordered array of creation. Without this active and decisive vigilance, the Pandemonium Tremendum would scour and ravage the creation. Also, as an omniscient, unobtrusive, and impartial witness, God manages the primordial chaos without compromising its unfettered variety. What is the role of chaos as the Ungrund? All creatures are the consequence of acts of decision. God alone is self‐decisive and, hence, the uniquely sovereign creator. That is, God arises spontaneously through an aboriginal act of in–speaking. Otherwise, and in utter contradiction to its radically unprincipled character, the primordial chaos would provide the arche or sufficient reason for divine causation. This mythic and metaphysical account falls in the tradition of Meister Eckhart and Nicolas Berdyaev and is expressed in the rubric of communication theory.     

Neat,Swine, Sheep,and Deer: Mill and Peirce on Natural Kinds

In the earliest phase of his logical investigations (1865–1870), Peirce adopts Mill's doctrine of real Kinds as discussed in the System of Logic and adapts it to the logical conceptions he was then developing. In Peirce's definition of natural class, a crucial role is played by the notion of information: a natural class is a class of which some non-analytical proposition is true. In Peirce's hands, Mill's distinction between connotative and non-connotative terms becomes a distinction between symbolic and informative and pseudo-symbolic and non-informative forms of representation. A symbol is for Peirce a representation which has information. Just as for Mill all names of Kind connote their being such, so for Peirce all symbols profess to correspond to a natural class.