Online research in philosophy

_Ever since Descartes singled out the ability to use natural language appropriately in any given circumstance as the proof_ _that humans – unlike animals and machines – have minds, an idea that Turing transformed into his well-known test to_ _determine whether machines have intelligence, the close connection between language and cognition has been widely_ _acknowledged, although it was accounted for in quite different ways. Recent advances in natural language processing, as_ _well as attempts to create “embodied conversational agents” which couple language processing with that of its natural_ _bodily correlates (gestures, facial expression and gaze direction), in the hope of developing human-computer interfaces_ _based on natural – rather than formal – language, have again brought to the fore the question of how far we can hope_ _machines to be able to master the cognitive abilities required for language use. In this paper, I approach this issue from a_ _different angle, inquiring whether language can be viewed as a “cognitive technology”, employed by humans as a tool_ _for the performance of certain cognitive tasks. I propose a definition of “cognitive technology” that encompasses both_ _external (or “prosthetic”) and internal cognitive devices. A number of parameters in terms of which a typology of_ _cognitive technologies of both kinds can be sketched is also set forth. It is then argued that inquiring about language’s_ _role in cognition allows us to re-frame the traditional debate about the relationship between language and thought, by_ _examining how specific aspects of language actually influence cognition – as an environment, a resource, or a tool. This_ _perspective helps bring together the contributions of the philosophical “linguistic turn” in epistemology and the incipient_ _“epistemology of cognitive technology” It also permits a more precise and fruitful discussion of the question whether, to_ _what extent, and which of the language-based cognitive technologies we naturally use can be emulated by the kinds of_ _technologies presently or in the foreseeable future available.

Cognitive control refers to the regulation of mental activity to support flexible cognition across different domains. Cragg and Nation (2010) propose that the development of cognitive control in children parallels the development of language abilities, particularly inner speech. We suggest that children’s late development of cognitive control also mirrors their limited ability to revise misinterpretations of sentence meaning. Moreover, we argue that for certain tasks, a tradeoff between bottom-up (data-driven) and top-down (rule-based) thinking may actually benefit performance in both children and adults. Specifically, we propose that a lack of cognitive control may promote important aspects of cognitive development, like language acquisition and creativity.

Humans grasp discrete infinities within several cognitive domains, such as in language, thought, social cognition and tool-making. It is sometimes suggested that any such generative ability is based on a computational system processing hierarchical and recursive mental representations. One view concerning such generativity has been that each of the mind’s modules defining a cognitive domain implements its own recursive computational system. In this paper recent evidence to the contrary is reviewed and it is proposed that there is only one supramodal computational system with recursion in the human mind. A recursion thesis is defined, according to which the hominin cognitive evolution is constituted by a recent punctuated genetic mutation that installed the general, supramodal capacity for recursion into the human nervous system on top of the existing, evolutionarily older cognitive structures, and it is argued on the basis of empirical evidence and theoretical considerations that the recursion thesis constitutes a plausible research program for cognitive science.

The language sciences—Linguistics, Psycholinguistics, and Computational Linguistics—have not been broadly represented at the Cognitive Science Society meetings of the past 30 years, but they are an important part of the heart of cognitive science. This article discusses several major themes that have dominated the controversies and consensus in the study of language and suggests the most pressing issues of the future. These themes include differences among the language science disciplines in their view of numbers and symbols and of modular and distributed cognition, and the need for an increasing prominence of questions concerning language and the brain.

In offering a detailed view of putative steps towards the emergence of language from a cognitive standpoint, Michael Arbib is also introducing an evolutionary framework that can be used as a useful tool to confront other viewpoints on language evolution, including hypotheses that emphasize possible alternatives to suggestions that language could not have emerged from an earlier primate vocal communication system.

Tool use rivals language as an important domain of cognitive phenomena, and so as a source of insight into the nature of cognition in general. But the favoured current definition of tool use is inadequate because it does not carve the phenomena of interest at the joints. Heidegger's notion of equipment provides a more adequate theoretical framework. But Heidegger's account leads directly to a non-individualist view of the nature of cognition. Thus non-individualism is supported by concrete considerations about the nature of tools and tool use.

There has been growing interest recently in the so-called cognitive conception of language – the idea that some human thought processes constitutively involve the representational resources of the language faculty – or, more colloquially, that we can think in natural language. This view is, I think, very attractive: there are theoretical reasons for endorsing it and introspection supports it, too. However, I shall not be defending the cognitive conception here. Instead, I shall be asking how a language-based cognitive system – a linguistic mind, as it were – might have evolved. I begin by outlining some evolutionary criteria which a satisfactory version of the cognitive conception must meet. I then look at some recent versions of the doctrine and ask which best satisfies them. This will give us a reason for preferring that version, should we decide to endorse the cognitive conception in the first place.

According to the thesis of semantic underdetermination, most sentences of a natural language lack a definite semantic interpretation. This thesis supports an argument against the use of natural language as an instrument of thought, based on the premise that cognition requires a semantically precise and compositional instrument. In this paper we examine several ways to construe this argument, as well as possible ways out for the cognitive view of natural language in the introspectivist version defended by Carruthers. Finally, we sketch a view of the role of language in thought as a specialized tool, showing how it avoids the consequences of semantic underdetermination.

This book explores how people's subjective, felt experiences of their bodies in action provide part of the fundamental grounding for human cognition and language. Cognition is what occurs when the body engages the physical and cultural world and must be studied in terms of the dynamical interactions between people and the environment. Human language and thought emerge from recurring patterns of embodied activity that constrain ongoing intelligent behavior. We must not assume cognition to be purely internal, symbolic, computational, and disembodied, but seek out the gross and detailed ways that language and thought are inextricably shaped by embodied action. Embodiment and Cognitive Science describes the abundance of empirical evidence from many disciplines, including work on perception, concepts, imagery and reasoning, language and communication, cognitive development, and emotions and consciousness, that support the idea that the mind is embodied.

Scholars studying the origins and evolution of language are also interested in the general issue of the evolution of cognition. Language is not an isolated capability of the individual, but has intrinsic relationships with many other behavioral, cognitive, and social abilities. By understanding the mechanisms underlying the evolution of linguistic abilities, it is possible to understand the evolution of cognitive abilities. Cognitivism, one of the current approaches in psychology and cognitive science, proposes that symbol systems capture mental phenomena, and attributes cognitive validity to them. Therefore, in the same way that language is considered the prototype of cognitive abilities, a symbol system has become the prototype for studying language and cognitive systems. Symbol systems are advantageous as they are easily studied through computer simulation (a computer program is a symbol system itself), and this is why language is often studied using computational models.