Various illusions of meaning appear to be insensitive to counter-evidence. That is, in a similar fashion to the well-known Müller-Lyer illusion in vision, certain illusions of meaning seem not to fade away even after one endorses beliefs that rebut the illusion one is having. Such apparently evidence-insensitive illusions have been employed to support the view that we can perceive meanings because evidence-insensitivity is typically taken to be a perceptual trait. In this paper, I offer a comprehensive examination of allegedly evidence-insensitive (...) illusions of meaning and argue that none is, in fact, evidence insensitive in a way that might support the view that we can perceive meanings. (shrink)

The book’s core argument is that an artificial intelligence that could equal or exceed human intelligence—sometimes called artificial general intelligence (AGI)—is for mathematical reasons impossible. It offers two specific reasons for this claim: Human intelligence is a capability of a complex dynamic system—the human brain and central nervous system. Systems of this sort cannot be modelled mathematically in a way that allows them to operate inside a computer. In supporting their claim, the authors, Jobst Landgrebe and Barry Smith, marshal evidence (...) from mathematics, physics, computer science, philosophy, linguistics, and biology, setting up their book around three central questions: What are the essential marks of human intelligence? What is it that researchers try to do when they attempt to achieve "artificial intelligence" (AI)? And why, after more than 50 years, are our most common interactions with AI, for example with our bank’s computers, still so unsatisfactory? Landgrebe and Smith show how a widespread fear about AI’s potential to bring about radical changes in the nature of human beings and in the human social order is founded on an error. There is still, as they demonstrate in a final chapter, a great deal that AI can achieve which will benefit humanity. But these benefits will be achieved without the aid of systems that are more powerful than humans, which are as impossible as AI systems that are intrinsically "evil" or able to "will" a takeover of human society. (shrink)

According to the perceptual view of language comprehension, listeners typically recover high-level linguistic properties such as utterance meaning without inferential work. The perceptual view is subject to the Objection from Context: since utterance meaning is massively context-sensitive, and context-sensitivity requires cognitive inference, the perceptual view is false. In recent work, Berit Brogaard provides a challenging reply to this objection. She argues that in language comprehension context-sensitivity is typically exercised not through inferences, but rather through top-down perceptual modulations or perceptual learning. (...) This paper provides a complete formulation of the Objection from Context and evaluates Brogaards reply to it. Drawing on conceptual considerations and empirical examples, we argue that the exercise of context-sensitivity in language comprehension does, in fact, typically involve inference. (shrink)

Semantic perceptualism is the thesis that meaning experiences are forms of perceptual experiences. According to its defenders, this view is motivated not only by philosophical considerations, but also by empirical evidence. In the present article, I shall provide the first comprehensive and critical review of the empirical evidence in support of semantic perceptualism, including a detailed analysis of the relevant neuroanatomical data. The conclusions of my analysis are largely pessimistic. I believe that the relevant behavioral, cognitive, and patient data are (...) suggestive but hardly conclusive. Moreover, neuroanatomical data speak strongly against semantic perceptualism. (shrink)