Phenomenal intentionality is a kind of intentionality, or aboutness, that is grounded in phenomenal consciousness, the subjective, experiential feature of certain mental states. The phenomenal intentionality theory (PIT), is a theory of intentionality according to which there is phenomenal intentionality, and all other kinds of intentionality at least partly derive from it. In recent years, PIT has increasingly been seen as one of the main approaches to intentionality.

My dissertation establishes the basis for a systematic outlook on the role language plays in human cognition. It is an investigation based on a cognitive conception of language, as opposed to communicative conceptions, viz. those that suppose that language plays no role in cognition. I focus, in Chapter 2, on three paradigmatic theories adopting this perspective, each offering different views on how language contributes to or changes cognition. -/- In Chapter 3, I criticize current views held by dual-process theorists, and (...) I develop a picture of the complex interaction between language and cognition that I deem more plausible by using resources from the literature on the evolution of the faculty of language. Rather than trying to find one general explanation for all cognitive processes, I take seriously the idea that our mind is composed of many subsystems, and that language can interact and modify each in different ways. There is no reason offered in the empirical literature—besides maybe parsimony—that suggest that language has to interact in the same ways with all cognitive processes. Yet, this is seemingly taken for granted, especially within dual-process approaches. -/- On my view, it is a central requirement for a theory of the role of language in cognition to explain how language might have effects, at once, on and within various parts of cognition. In Chapter 4, I explore how this framework can modify how we think about some experiments in psychology, specifically in research on categorization. My idea is that language, once it evolved, changed how some cognitive capacities worked and interacted with each other, but did so in more than one or two ways. Cognitive systems are changed in very different ways—sometimes the transformation is very subtle, such as our way of forming categories by using how similar objects are, while other times it is deep and changes the very way the system works. (shrink)

Abstract: There is a long tradition of trying to analyze art either by providing a definition (essentialism) or by tracing its contours as an indefinable, open concept (anti-essentialism). Both art essentialists and art anti-essentialists share an implicit assumption of art concept monism. This article argues that this assumption is a mistake. Species concept pluralism—a well-explored position in philosophy of biology—provides a model for art concept pluralism. The article explores the conditions under which concept pluralism is appropriate, and argues that they (...) obtain for art. Art concept pluralism allows us to recognize that different art concepts are useful for different purposes, and what has been feuding definitions can be seen as characterizations of specific art concepts. (shrink)

In the current version of Mozi, there are six special chapters on knowledge, language, logic, ethics, politics and science. They include “Canon I ” and “Canon Explanation I ”, “Canon II ” and “Canon Explanation II ”, and “Major Illustrations” and “Minor Illustrations”. Later scholars give the names “Mohist Canons ” for the first four chapters and “Mohist Dialectical Chapters” for all the six. The content of these six chapters indicates that the later Mohists follow Mozi’s cognitive spirit in dealing (...) with ethical and socio-political issues and,most importantly, apply an analytic approach to investigate philosophical problems, especially, in knowledge, language and logic. (shrink)

This dissertation argues that mental representation is identical to phenomenal consciousness, and everything else that appears to be both mental and a matter of representation is not genuine mental representation, but either in some way derived from mental representation, or a case of non-mental representation.

This dialogue explores the question of whether intentionality—the “ofness”, “aboutness”, or “directedness” of mental states—is a relation. We explore three views: the Naive View, on which intentionality is a relation to ordinary, everyday objects, facts, and other such items; the Abstract Contents View, on which intentionality is a relation to mind-independent abstract entities that are our contents; and the Aspect View, on which intentionality is a matter of having intentional states with particular (non-relational) aspects that are our contents. We consider (...) the challenges facing these views, which include empirical challenges in accounting for all the contents our intentional states can represent, metaphysical challenges in making sense of how contents can be entertained or otherwise represented by us and how they can play a psychological role in the mental economy, and challenges in making sense of how intentionality connects us to the world—if at all. Along the way, we consider the question of how consciousness is related to intentionality and how this affects one’s choice of views. (shrink)

According to Lynne Rudder Baker’s Practical Realism, we know that we have beliefs, desires, and other propositional attitudes independent of any scientific investigation. Propositional attitudes are an indispensable part of our everyday conception of the world and not in need of scientific validation. This paper asks what is the nature of the attitudes such that we may know them so well from a commonsense perspective. I argue for a self-ascriptivist view, on which we have propositional attitudes in virtue of ascribing (...) them to ourselves. On this view, propositional attitudes are derived representational states, deriving their contents and their attitude types from our self-ascriptions. (shrink)

Conceptual engineering means to provide a method to assess and improve our concepts working as cognitive devices. But conceptual engineering still lacks an account of what concepts are (as cognitive devices) and of what engineering is (in the case of cognition). And without such prior understanding of its subject matter, or so it is claimed here, conceptual engineering is bound to remain useless, merely operating as a piecemeal approach, with no overall grip on its target domain. The purpose of this (...) programmatic paper is to overcome this knowledge gap by providing some guidelines for developing the theories of concepts and of cognition that will ground the systematic unified framework needed to effectively implement conceptual engineering as a widely applicable method for the cognitive optimization of our conceptual devices. (shrink)

Semantic networks were developed in cognitive science and artificial intelligence studies as graphical knowledge representation and inference tools emulating human thought processes. Formal analysis of the representation and inference capabilities of the networks modeled them as subsets of standard first-order logic (FOL), restricted in the operations allowed in order to ensure the tractability that seemed to characterize human reasoning capabilities. The graphical network representations were modeled as providing a visual language for the logic. Sub-sets of FOL targeted on knowledge representation (...) came to be called description logics, and research on these logics has focused on issues of tractability of subsets with differing representation capabilities, and on the implementation of practical inference systems achieving the best possible performance. Semantic network research has kept pace with these developments, providing visual languages for knowledge entry, editing, and presenting the results of inference, that translate unambiguously to the underlying description logics. This paper discusses the design issues for such semantic network formalisms, and illustrates them through detailed examples of significant generic knowledge structures analyzed in the literature, including determinables, contrast sets, genus/differentiae, taxonomies, faceted taxonomies, cluster concepts, family resemblances, graded concepts, frames, definitions, rules, rules with exceptions, essence and state assertions, opposites and contraries, relevance, and so on. Such examples provide important test material for any visual language formalism for logic. (shrink)

Fodor argues that our minds must have epistemic limitations because there must be endogenous constraints on the class of concepts we can acquire. However, his argument for the existence of these endogenous constraints is falsified by the phenomenon of the deferential acquisition of concepts. If we allow for the acquisition of concepts through deferring to experts and scientific instruments, then our conceptual capacity will be without endogenous constraints, and there will be no reason to think that our minds are epistemically (...) bounded. (shrink)