Causal Learning: Association Versus Computation

Causal learning enables humans and other animals not only to predict important events or outcomes, but also to control their occurrence in the service of needs and desires. Computational theories assume that causal judgments are based on an estimate of the contingency between a causal cue and an outcome. However, human causal learning exhibits many of the characteristics of the associative learning processes thought to underlie animal conditioning. One problem for associative theory arises from the finding that judgments of the causal power of a cue can be revalued retrospectively after learning episodes when that cue is not present. However, if retrieved representations of cues can support learning, retrospective revaluation is anticipated by modified versions of standard associative theories.     

The Relevance of Discriminatory Knowledge of Content

Those interested in securing the compatibility of anti-individualism and introspective knowledge of content (henceforth 'compatibilists') typically make a distinction between knowledge of content proper (KC) and discriminatory knowledge of content (DKC). Following Falvey and Owens (1994), most compatibilists allow that anti-individualism is not compatible with introspective DKC, but maintain that nonetheless anti-individualism is compatible with introspective KC. Though I have raised doubts about the compatibility of anti-individualism and introspective KC elsewhere (Goldberg, 1997 and forthcoming), here my aim is to suggest the philosophical relevance of DKC itself. My thesis is that there are cases in which a thinker's failing to have DKC will affect the justification which she takes herself to have in drawing various inferences in the course of her reasoning, and so will affect that reasoning itself. After presenting illustrative examples and suggesting why anti-individualists themselves ought to acknowledge this point, I suggest that the examples indicate further work for anti-individualists: formulating what it takes to have DKC, and substantiating the view (widely held by anti-individualists) that anti-individualism's implication that we (often) lack such knowledge is not to be taken as an important weakness of anti-individualism itself.     

The Relevance of Decision Theory to Ethical Theory

Morality for the purposes of this paper consists of sets of rules or principles intended for the general regulation of conduct for all. Intuitionist accounts of morality are rejected as making reasoned analysis of morals impossible. In many interactions, there is partial conflict and partial cooperation. From the general social point of view, the rational thing to propose is that we steer clear of conflict and promote cooperation. This is what it is rational to propose to reinforce, and to assist in reinforcing in society; it is not necessarily what it is individually rational to do. Even so, given the general situation, the rationality of its reinforcement will typically support the rationality of individual action as well. Game theory makes it possible to clarify these interactions, and these proposals for social solutions.     

The Causal Exclusion Argument

Jaegwon Kim’s causal exclusion argument says that if all physical effects have sufficient physical causes, and no physical effects are caused twice over by distinct physical and mental causes, there cannot be any irreducible mental causes. In addition, Kim has argued that the nonreductive physicalist must give up completeness, and embrace the possibility of downward causation. This paper argues first that this extra argument relies on a principle of property individuation, which the nonreductive physicalist need not accept, and second that once we get clear on overdetermination, there is a way to reject the exclusion principle upon which the causal exclusion argument depends, but third that this should not lead to the belief that mental causation is easily accounted for in terms of counterfactual dependencies.     

The Relevance of Systemic Thinking to Student Counselling

After outlining the predominant approaches which currently inform student counselling a case is made for adopting a developmental systemic paradigm, locating individual difficulties within the context of a family dilemma. The view is taken that family systems thinking and individual approaches can be complementary and that systemic work need not be restricted to formal family therapy and the technology this implies.     

The Structure of Causal Sets

More often than not, recently popular structuralist interpretations of physical theories leave the central concept of a structure insufficiently precisified. The incipient causal sets approach to quantum gravity offers a paradigmatic case of a physical theory predestined to be interpreted in structuralist terms. It is shown how employing structuralism lends itself to a natural interpretation of the physical meaning of causal set theory. Conversely, the conceptually exceptionally clear case of causal sets is used as a foil to illustrate how a mathematically informed rigorous conceptualization of structure serves to identify structures in physical theories. Furthermore, a number of technical issues infesting structuralist interpretations of physical theories such as difficulties with grounding the identity of the places of highly symmetrical physical structures in their relational profile and what may resolve these difficulties can be vividly illustrated with causal sets.     

The Metaphysics of Causal Models

This paper presents an attempt to integrate theories of causal processes—of the kind developed by Wesley Salmon and Phil Dowe—into a theory of causal models using Bayesian networks. We suggest that arcs in causal models must correspond to possible causal processes. Moreover, we suggest that when processes are rendered physically impossible by what occurs on distinct paths, the original model must be restricted by removing the relevant arc. These two techniques suffice to explain cases of late pre?mption and other cases that have proved problematic for causal models.

The Causal Chain Problem

This paper addresses a problem that arises when it comes to inferring deterministic causal chains from pertinent empirical data. It will be shown that to every deterministic chain there exists an empirically equivalent common cause structure. Thus, our overall conviction that deterministic chains are one of the most ubiquitous (macroscopic) causal structures is underdetermined by empirical data. It will be argued that even though the chain and its associated common cause model are empirically equivalent there exists an important asymmetry between the two models with respect to model expansions. This asymmetry might constitute a basis on which to disambiguate corresponding causal inferences on non-empirical grounds.

The Reduction of Causal Processes

The principle that causes always render their effects more likely is fundamental to the enterprise of reducing facts of causation to facts about (objective) chances. This reductionist enterprise faces famous difficulties in accommodating common-sense intuitions about causal processes, if it insists on cashing out causal processes in terms of streams of events in which every event that belongs to the stream is a cause of the adjoining event downstream of it. I shall propose modifications to this way of cashing out causal processes, still well within the reductionist faith. These modifications will allow the reductionist to handle processes successfully, on the assumption that the reductionist proposal is itself otherwise satisfactory. I shall then argue that the reductionist enterprise lies squarely behind the Theory of Relativity, and so has all the confirmatory weight of Relativity behind it. However this is not all good news for reductionists. For throughout I shall simply assume that the reductionist proposal, to the effect that causes are just chance-raisers, is correct. AndI shall sidestep problems with that proposal as such. And so I shall show that, if in the end we find the reductionist proposal unsatisfactory, it cannot be on grounds of its treatment of causal processes as such. Thus, while I shall argue that causal processes pose no extra trouble for redutionists, I shall be making a case that all the action between reductionists and their opponents should be focused upon the proposal to reduce the two-term causal relation itself to relations amongst probabilities.     

The Relevance of Countertransference

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