Terry Horgan

The authors of Austere Realism describe and defend a provocative ontological-cum-semantic position, asserting that the right ontology is minimal or austere, in that it excludes numerous common-sense posits, and that statements employing such posits are nonetheless true, when truth is understood to be semantic correctness under contextually operative semantic standards. Terence Horgan and Matjaz [hacek over z] Potrc [hacek over c] argue that austere realism emerges naturally from consideration of the deep problems within the naive common-sense approach to truth and ontology. They offer an account of truth that confronts these deep internal problems and is independently plausible: contextual semantics, which asserts that truth is semantically correct affirmability. Under contextual semantics, much ordinary and scientific thought and discourse is true because its truth is indirect correspondence to the world. After offering further arguments for austere realism and addressing objections to it, Horgan and Potrc [hacek over c] consider various alternative austere ontologies. They advance a specific version they call "blobjectivism"--the view that the right ontology includes only one concrete particular, the entire cosmos, which, although it has enormous local spatiotemporal variability, does not have any proper parts. The arguments in Austere Realism are powerfully made and concisely and lucidly set out. The authors' contentions and their methodological approach--products of a decade-long collaboration--will generate lively debate among scholars in metaphysics, ontology, and philosophy. Terence E. Horgan is Professor of Philosophy at the University of Arizona. Matjaz [hacek over z] Potrc [hacek over c] is Professor of Philosophy at the University of Ljubljana

Human cognition is rich, varied, and complex. In this Chapter we argue that because of the richness of human cognition (and human mental life generally), there must be a syntax of cognitive states, but because of this very richness, cognitive processes cannot be describable by exceptionless rules. The argument for syntax, in Section 1, has to do with being able to get around in any number of possible environments in a complex world. Since nature did not know where in the world humans would find themselves—nor within pretty broad limits what the world would be like —nature had to provide them with a means of “representing” a great deal of information about any of indefinitely many locations. We see no way that this could be done except by way of syntax— that is, by a systematic way of producing new, appropriate representations as needed. We discuss what being systematic must amount to, and what, in consequence, syntax should mean. We hold that syntax does not require a part/whole relationship. The argument for the claim that human cognitive processes cannot be described by exceptionless rules, in Section 2, appeals to the fact that there is no limit to the factors one might..

Reliablists have argued that the important evaluative epistemic concept of being justified in holding a belief, at least to the extent that that concept is associated with knowledge, is best understood as concerned with the objective appropriateness of the processes by which a given belief is generated and sustained. In particular, they hold that a belief is justified only when it is fostered by processes that are reliable (at least minimally so) in the believer’s actual world.[1] Of course, reliablists typically recognize other concepts of justification--typically subjective notions--which are given a noncompeting sort of epistemic legitimacy. However, they have tended to focus on the epistemically central notion of "strong justification," and have come to settle on this familiar reliablist analysis, supposing that it pretty much exhausts what there is to say about "objective justification.".

  David Marr provided a useful framework for theorizing about cognition within classical, AI-style cognitive science, in terms of three levels of description: the levels of (i) cognitive function, (ii) algorithm and (iii) physical implementation. We generalize this framework: (i) cognitive state transitions, (ii) mathematical/functional design and (iii) physical implementation or realization. Specifying the middle, design level to be the theory of dynamical systems yields a nonclassical, alternative framework that suits (but is not committed to) connectionism. We consider how a brain's (or a network's) being a dynamical system might be the key both to its realizing various essential features of cognition — productivity, systematicity, structure-sensitive processing, syntax — and also to a non-classical solution of (frame-type) problems plaguing classical cognitive science

David Marr provided an influential account of levels of description in classical cognitive science. In this paper we contrast Marr'ent with some alternatives that are suggested by the recent emergence of connectionism. Marr's account is interesting and important both because of the levels of description it distinguishes, and because of the way his presentation reflects some of the most basic, foundational, assumptions of classical AI-style cognitive science . Thus, by focusing on levels of description, one can sharpen foundational differences between classicism and potential non-classical conceptions of mentality that might emerge under the rubric of connectionism

Some hold that beliefs arising out of certain sources such as perceptual experience enjoy a kind of entitlement—as one is entitled to believe what is thereby presented as true, at least unless further evidence undermines that entitlement. This is commonly understood to require that default epistemic entitlement is a non-evidential kind of epistemic warrant. Our project here is to challenge this common, non-evidential, conception of epistemic entitlement. We will argue that although there are indeed basic beliefs with default entitlement status, typically the kind of default entitlement they possess is primarily a matter of the evidential support that accrues to them, both synchronically and diachronically, from wider mental states beyond the specific sensory-perceptual experiences that spawn them. We will call this status evidentially embedded epistemic entitlement—as distinct from entitlement as commonly understood in the literature, which we will call evidentially insular. Epistemic entitlement normally is characterized in the manner set forth in the first paragraph above, viz., as a form of default epistemic warrant that a given belief possesses independently of any other beliefs. We suggest that not all evidential support is managed at the level of belief. Thus, leaves room for the possibility of an epistemically embedded kind of entitlement. Here we develop the needed conception of entitlement drawing on Henderson and Horgan’s ideas of a kind of “iceberg epistemology.”

Folk psychological realism is the view that folk psychology is true and that people really do have propositional attitudes, whereas anti-realism is the view that folk psychology is false and people really do not have propositional attitudes. We argue that anti-realism is not worthy of acceptance and that realism is eminently worthy of acceptance. However, it is plainly epistemically possible to favor either of two forms of folk realism: scientific or non-scientific. We argue that non-scientific realism, while perhaps unpopular among philosophers of mind, is a distinct form of realism from scientific realism, and that it is not yet knowable whether scientific or non-scientific realism is true. We also outline how adopting realism, but remaining neutral between scientific and non-scientific realism, offers fresh insights into such topics as instrumentalism, supervenience, the language of thought hypothesis, and elimin-ativism.