Simon Pauw

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Grounding language in sensorimotor spaces is an important and difficult task. In order, for robots to be able to interpret and produce utterances about the real world, they have to link symbolic information to continuous perceptual spaces. This requires dealing with inherent vagueness, noise and differences in perspective in the perception of the real(More)
Artificial agents trying to achieve communicative goals in situated interactions in the real-world need powerful computational systems for conceptualizing their environment. In order to provide embodied artificial systems with rich semantics reminiscent of human language complexity, agents need ways of both conceptualizing complex compositional semantic(More)
In this paper we test the dominant paradigm for modeling the semantics of determined noun phrases called Generalized Quantifier Theory in embodied interactions with robots. We contrast the traditional approach with a new approach, called Clustering Determination, which is heavily inspired by research on grounding of sensorimotor categories, and we show that(More)
Words like many and few have a dual nature: though traditionally analyzed<lb>as quantifiers (“many of the houses”), they also behave like gradable adjectives<lb>(“few/fewer houses”). In fact, such terms pattern syntactically and semantically<lb>with both quantifiers and adjectives. Why arent they confined to one grammatical<lb>class? What is the cognitive(More)
One of the main objectives of a logician is to reason all romance out of life. A book is a set of words, which can be analyzed, quantified over and reduced to a set of possible worlds. Philosophy is but a mere set of faulty axioms. And music... music is just a set of notes, containing patterns we can formalize. Sorry Shakespear, Hobbes and Chopin. Art is(More)
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