Linguistic theories of lexical semantics support a Neoclassical Theory of concepts, where entities like CAUSE, STATE, and MANNER serve as necessary conditions for the possession of individual event concepts. Not all concepts have a neoclassical structure, and whether or not words participate in regular linguistic patterns such as verbal alternations will be proposed as a probe for identifying whether their corresponding concepts do indeed have such structure. I show how the Neoclassical Theory supplements existing theories of concepts and supports a (...) version of analyticity and conceptual analysis. (shrink)

The central claim of this thesis is that concepts, the components from which cognitively significant truth evaluable content (thought) is composed, are unstructured entities an account of whose individuation makes no essential reference to other concepts in the possession of the thinking subject or to any particular means by which the reference of the concept is identified by the thinking subject. This position is called Conceptual Atomism and contrasts with Inferential Role Semantics, according to which concepts are individuated by their (...) inferential roles or their conditions of warranted application. The structure of the argument is as follows. Firstly, a principle called the Transparency Principle is developed. This places constraints on the individuation of concepts across differing contexts. The Transparency Principle is then used to show that Inferential Role Semantics is false because it cannot provide a satisfactory account of cognitive dynamics; that is, of the conditions under which a concept is retained through changes in the epistemic state of the subject over a period of time. A version of Conceptual Atomism is then defended and it is shown that this theory yields the correct individuation of concepts. According to this theory the concepts of an individual subject are individuated in terms of referential episodes, episodes of ongoing reference to an object or property during which it is diachronically transparent to the subject that the same thing is being referred to. The more general notion of a referential practice is then used to account for the sharing of concepts by more than one person. Finally, a novel account of the thoughts expressed using indexical terms is defended in order to show that indexicals present no counterexample to Conceptual Atomism. This account of indexical thoughts is of some consequence in its own right. (shrink)

In our commentary we elaborate on Barresi & Moore's use of language as a tool. In particular, we highlight the importance of cognitive linguistic research with its emphasis on the relation between morpnosyntax and intentional schemes. We also speculate about how language itself might play a role in children's integration of first and third person knowledge.

This paper seeks to understand machine cognition. The nature of machine cognition has been shrouded in incomprehensibility. We have often encountered familiar arguments in cognitive science that human cognition is still faintly understood. This paper will argue that machine cognition is far less understood than even human cognition despite the fact that a lot about computer architecture and computational operations is known. Even if there have been putative claims about the transparency of the notion of machine computations, these claims do (...) not hold out in unraveling machine cognition, let alone machine consciousness (if there is any such thing). The nature and form of machine cognition remains further confused also because of attempts to explain human cognition in terms of computation and to model/simulate (aspects of) human cognitive processing in machines. Given that these problems in characterizing machine cognition persist, a view of machine cognition that aims to avoid these problems is outlined. The argument that is advanced is that something becomes a computation in machines only when a human interprets it, which is a kind of semiotic causation. From this it follows that a computing machine is not engaged in a computation unless a human interprets what it is doing; instead, it is engaged in machine cognition, which is defined as a member or subset of the set of all possible mappings of inputs to outputs. The human interpretation, which is a semiotic process, gives meaning to what a machine does, and then what it does becomes a computation. (shrink)

Stanley and Williamson (The Journal of Philosophy 98(8), 411–444 2001 ) reject the fundamental distinction between what Ryle once called ‘knowing-how’ and ‘knowing-that’. They claim that knowledge-how is just a species of knowledge-that, i.e. propositional knowledge, and try to establish their claim relying on the standard semantic analysis of ‘knowing-how’ sentences. We will undermine their strategy by arguing that ‘knowing-how’ phrases are under-determined such that there is not only one semantic analysis and by critically discussing and refuting the positive account (...) of knowing-how they offer. Furthermore, we argue for an extension of the classical ‘knowing-how’/‘knowing-that’-dichotomy by presenting a new threefold framework: Using some core-examples of the recent debate, we will show that we can analyze knowledge situations that are not captured by the Rylean dichotomy and argue that, therefore, the latter has to be displaced by a more fine-grained theory of knowledge-formats. We will distinguish three different formats of knowledge we can have of our actions, namely (1) propositional, (2) practical, and (3) image-like formats of knowledge. Furthermore, we will briefly analyze the underlying representations of each of these knowledge-formats. (shrink)

I argue that the project of naturalizing intentionality is misconceived. Intentionality should not be considered as a challenge to our naturalistic world-view, but rather as something which gives rise to a logical problem: how to save the principle of indiscernibility of identicals from apparent counterexamples arising from intensional discourse.

In early essays and in more recent work, Fred Dretske argues against the closure of perception, perceptual knowledge, and knowledge itself. In this essay I review his case and suggest that, in a useful sense, perception is closed, and that, while perceptual knowledge is not closed under entailment, perceptually based knowledge is closed, and so is knowledge itself. On my approach, which emphasizes the safe indication account of knowledge, we can both perceive, and know, that sceptical scenarios (such as being (...) a brain in a vat) do not hold. (shrink)

Naturalistic epistemology is accused of ruling out the normative element of epistemology. Different naturalistic responses are considered. It is argued that the content of attributions of knowledge is best understood in purely descriptive terms. So their normative force is merely hypothetical. Attributions of justified belief, on the other hand, do have intrinsic normativity. This derives from their role in our first-person deliberation of what to believe. It is suggested that the content of them is best captured in naturalistic terms by (...) accepting a dispositional analysis of justification that is a species of the generic dispositional conception of value. (shrink)

The ability to predict is the most importantability of the brain. Somehow, the cortex isable to extract regularities from theenvironment and use those regularities as abasis for prediction. This is a most remarkableskill, considering that behaviourallysignificant environmental regularities are noteasy to discern: they operate not only betweenpairs of simple environmental conditions, astraditional associationism has assumed, butamong complex functions of conditions that areorders of complexity removed from raw sensoryinputs. We propose that the brain's basicmechanism for discovering such complexregularities is implemented in (...) the dendritictrees of individual pyramidal cells in thecerebral cortex. Pyramidal cells have 5–8principal dendrites, each of which is capableof learning nonlinear input-to-outputtransfer functions. We propose that eachdendrite is trained, in learning its transferfunction, by all the other principal dendritesof the same cell. These dendrites teach eachother to respond to their separate inputs with matching outputs. Exposed to differentbut related information about the sensoryenvironment, principal dendrites of the samecell tune to functions over environmentalconditions that, while different, are correlated . As a result, the cell as awhole tunes to the source of the regularitiesdiscovered by the cooperating dendrites,creating a new representation. When organizedinto feed-forward/feedback layers, pyramidalcells can build their discoveries on thediscoveries of other cells, graduallyuncovering nature's hidden order. Theresulting associative network is powerfulenough to meet a troubling traditionalobjection to associationism: that it is toosimple an architecture to implement rationalprocesses. (shrink)

A great deal of philosophical work has addressed the question of whether Man’s computational theory of early vision is individualistic. Burge and Davies have argued that, according to Marr’s theory, visual states are individuated non-individualistically. Segal has denied that Marr’s theory has these non-individualistic implications. More recently, Shapiro has argued that the entire debate has been misguided. I argue that Shapiro is mistaken in a fairly deep way, attention to which allows us to raise and clarify several important issues involved (...) in discussions of individualism. Contrary to Burge and Davies, and by a route rather different from Segal’s, I defend the claim that Man’s theory offers no reason to think that visual states are individuated non-individualistically. (shrink)

Notions like meaning, signal, intentionality, are difficult to relate to a physical word. I study a purely physical definition of "meaningful information", from which these notions can be derived. It is inspired by a model recently illustrated by Kolchinsky and Wolpert, and improves on Dretske classic work on the relation between knowledge and information. I discuss what makes a physical process into a signal.

According to Fred Dretske’s semantic information theory, the process of becoming informed consists of two parts: the transfer of information via a channel, and the subsequent formation of a semantic structure, called ‘digitalisation’. Leaving out any one of the two parts renders the concept of becoming informed incomplete. Similarly, Peter Menzies and Huw Price’s agency-account of causation has a bipartite structure. The account posits that an event A is a cause of a distinct event B in cases where bringing about (...) the occurrence of A would be an effective means by which a free agent could bring about the occurrence of B. A major problem for this approach seems to be that the analysis contains two occurrences of ‘bringing about’, which might be taken for causal notions that would render the formula circular. However, applying two different interpretations to each of the occurrences yields a non-circular analysis of causation. These interpretations entail a conceptual structure of causation that is analogous to Dretske’s analysis of becoming informed. Building on this conceptual foundation, it can be shown that informational and causal views on events can be integrated into a combined account, according to which information channels and causal mechanisms are identical. Digitalisation and direct action are parts of causation by information, a concept that further binds becoming informed and causation to each other. Causation by information is relevant because it helps us make sense of the seeming contradiction of construing some events as actions, while at the same time allowing them to be effects of causes. (shrink)

Intentionality is a mark of the mental, as Brentano (1874) noted. Any representation or conception of anything has the feature of intentionality, which informally put, is the feature of being about something that may or may not exist. Visual artworks are about something, whether something literal or abstract. The artwork is a mentalized physical object. Aesthetic experience of the artwork illustrates the nature of intentionality as we focus attention on the phenomenology of the sensory exemplar. This focus of attention on (...) the exemplar in aesthetic experience simultaneously exhibits what the intentional object is like and what our conception of it is like. The exemplar is Janus-faced, looking in one direction outward toward the objects conceived and in the other direction inward toward our conceiving of them. It shows us what intentionality is like and how we know it. (shrink)

This text aims at presenting a general characterization of the act of perceiving a particular object, in a framework in which perception is conceived of as a mental and cognitive faculty having specific functions that other faculties such as imagination and memory do not possess. I introduce the problem of determining the occurrence of singular perception of a physical object, as opposed to the occurrence of other mental states or attitudes. I propose that clarifying this occurrence problem requires making explicit (...) the conditions of perceptual competence/faculty so as to explain the occurrence of each perceptual performance on the basis of the use of this competence. I argue then for a direct relational model according to which the singular perception of an object depends on a competence of connecting the perceiver directly with each target object. This model is compatible with a disjunctive approach to perception according to which each particular experience of an object corresponds either to a direct perceptual relation with this object or to the illusion of having the experience of this object. The arguments in favour of this relational model rest on the idea that the faculty of perception grounds the capacity to demonstratively identify physical objects. (shrink)

Although their thesis is generally sound, Barresi & Moore give insufficient attention to the need for a methodology, whether simulation based or theory-based, for choosing among alternative possible matches of first person and third person information. This choice must be sensitive to contextual information, including past behavior. Moreover, apart from simulation or theory, first person information would not help predict future behavior.

Many debates about consciousness appear to be endless, in part because of conceptual confusions preventing clarity as to what the issues are and what does or does not count as evidence. This makes it hard to decide what should go into a machine if it is to be described as 'conscious'. Thus, triumphant demonstrations by some AI developers may be regarded by others as proving nothing of interest because the system does not satisfy *their* definitions or requirements specifications.

There is a recent interest within both philosophy of science as well as within epistemology to provide a defensible account of understanding. In the present article I build on insights from previous work in attempt to provide an account of two related forms of understanding in terms of the ability to form rational intentions when using specific types of mental representations. I propose first that “understanding that X” requires that one form a representation of X and, further, that one must (...) be capable of forming rational intentions using this representation across a range of conceivable conditions. I then propose that “understanding why X” requires that one possess a representation of a successful explanation for why X, and that one must be similarly capable of forming rational intentions using this representation across a range of conceivable conditions. I conclude the manuscript by reviewing objections and considering the way this account relates to other literature on explanation and understanding. (shrink)

Barresi & Moore's account predicts that infants deprived of visual input will be delayed in achieving social understanding, a hypothesis that receives some support from studies of language use. by blind children. It is proposed that recently developed false belief and appearance/reality tasks be used to explore this issue further. Three possibly distracting conceptual issues are also discussed.

Amanda works in a library, and a patron asks for her help in learning about duty-to- rescue laws in China. She throws herself into the task, spending hours on retrieving documents from governmental and non-governmental sources, getting electronic translations, looking for literature on Scandinavian duty-to-rescue laws that mention Chinese laws for comparison, and so on. Why? She likes to gain this sort of general knowledge of the world; perhaps the reason she works so hard is that she is learning fascinating (...) facts in doing so. She is also a proud librarian; perhaps the reason she works so hard is that a patron needs her assistance. She is a library employee; perhaps her reason for working so hard is that this sort of effort is noted by her employer and gives her career a boost, or perhaps it is just that doing this sort of work is the condition of her continued employment. Perhaps the reason is that the patron is charming. (shrink)

The prelims comprise: Introduction Dretske's Adaptation of Information Theory to Knowledge Interesting Open Questions Current Philosophical Debates.

Traditionally, intentionality is regarded as that feature of all and only mental states – paradigmatically beliefs and desires – in virtue of which they are directed at or are about something. The problem of intentionality is to explain how it fits into the natural order given the intuition that no physical entity can be intentionally directed in this sense. The basic assumption of this paper, proposed by enactivists, is that failure to naturalize intentionality and mental representation is partly due to (...) the fact that most participants in the debate take intentionality and mental representation to be equivalent. In contrast, it is proposed to treat intentionality as a feature of whole embodied agents (paradigmatically organisms) who can be directed at objects and states of affairs in various ways, while representation should be regarded as a feature of mental states (and their respective vehicles or underlying mechanisms). The present paper develops and motivates the distinction, applies it to Metzinger’s project of naturalizing phenomenal representation, and demonstrates the range of theoretical options with respect to a delineation of cognition given the enactive proposal. It is taken as problematic that enactivism takes the realm of cognition to be identical to the realm of biology. Instead, a constraint on a theory of intentionality and representation is that it should delineate the subject matter of cognitive science and distinguish it from other sciences, also to leave room for the possibility of artificial intelligence. One important implication of the present proposal is that there can be creatures which can be intentionally directed without having the capacity to represent. That is, their intentionality is restricted to being able to be directed at existent things. Only creatures in possession of the right kind of neurocognitive architecture can produce and sustain representations in order to be directed at non-existent things. It is sketched how this approach conceives of intentionality as a developmental and layered concept, allowing for a hierarchical model of varieties of intentionality, ranging from the basic pursuit of local environmental goals to thoughts about fictional objects. (shrink)