The goal of creating Artificial General Intelligence (AGI) – or in other words of creating Turing machines (modern computers) that can behave in a way that mimics human intelligence – has occupied AI researchers ever since the idea of AI was first proposed. One common theme in these discussions is the thesis that the ability of a machine to conduct convincing dialogues with human beings can serve as at least a sufficient criterion of AGI. We argue that this very ability (...) should be accepted also as a necessary condition of AGI, and we provide a description of the nature of human dialogue in particular and of human language in general against this background. We then argue that it is for mathematical reasons impossible to program a machine in such a way that it could master human dialogue behaviour in its full generality. This is (1) because there are no traditional explicitly designed mathematical models that could be used as a starting point for creating such programs; and (2) because even the sorts of automated models generated by using machine learning, which have been used successfully in areas such as machine translation, cannot be extended to cope with human dialogue. If this is so, then we can conclude that a Turing machine also cannot possess AGI, because it fails to fulfil a necessary condition thereof. At the same time, however, we acknowledge the potential of Turing machines to master dialogue behaviour in highly restricted contexts, where what is called “narrow” AI can still be of considerable utility. (shrink)

This paper offers a review of research on demonstratives from an interdisciplinary perspective. In particular, we consider the role of demonstratives in current research on language universals, language evolution, language acquisition, multimodal communication, signed language, language and perception, language in interaction, spatial imagery, and discourse processing. Traditionally, demonstratives are analyzed as a particular class of spatial deictics. Yet, a number of recent studies have argued that space is largely irrelevant to deixis and that demonstratives are primarily used for social and (...) interactive purposes. Synthesizing findings in the literature, we conclude that demonstratives are a very special class of linguistic items that are foundational to both spatial and social aspects of language and cognition. (shrink)

Speakers frequently perform representational gestures to depict concepts in an iconic fashion. For example, a speaker may hold her index finger and thumb apart to indicate the size of a matchstick. However, the process by which a physical handshape is mentally transformed into abstract spatial information is not well understood. We present a series of experiments that investigate how people decode the physical form of an articulator to derive imaginary geometrical constructs, which we call “gesture form.” We provide quantitative evidence (...) for several key properties that play a role in this process. First, “profiling,” the ability to focus on a structural subunit within the complex form of the physical hand. Second, “perspective,” for which we show that one and the same handshape seen from different perspectives can lead to different spatial interpretations. Third, “selectivity,” the fact that gestures focus on specific spatial features at the expense of others. Our results provide a first step toward mapping out the process of how representational gestures make the communication of spatial information possible. (shrink)