We describe computational foundations for Perceptual Symbol System (PSS). This requires new mathematical methods of dynamic logic (DL), which have overcome limitations of classical artificial intelligence and connectionist approaches. The paper discusses these past limitations, relates them to combinatorial complexity (exponential explosion) of algorithms in the past, and further to the static nature of classical logic. The new mathematical theory, DL, is a process-logic. We apply it to one aspect of PSS, learning of situations from object perceptions. We relate DL to essential PSS mechanisms of concepts, simulators, grounding. Experimental neuroimaging evidence for DL and PSS in brain imaging is discussed as well as future research directi...
Image processing systems have typically exhibited a high degree of application specificity. This mak...
Neuro-Symbolic Integration is an interdisciplinary area that endeavours to unify neural networks and...
Research on pattern perception and rule learning, grounded in formal language theory (FLT) and using...
Summary. The paper discusses possible relationships between computational in-telligence, known mecha...
Subject Categories:PSYCHOLOGY Keywords:perceptual symbol system, cognition, perception, knowledge re...
An abstract knowledge representation of cognitive robots - as used for reasoning and planning - typi...
Prior to the twentieth century, theories of knowledge were inherently perceptual. Since then, develo...
One of the interesting questions in cognitive science seems to be whether human beings are already p...
UnrestrictedSymbols are the basis of many forms of human communication and are constantly being deve...
Introduction All existing intelligent systems share a similar biological and evolutionary heritage....
Abstract: "The notion of mind as symbol processor is fundamental to AI and cognitive science, but so...
Embodied theories of cognition propose that symbol systems are analogue (e.g. Barsalou, 1999; Glenbe...
Conscious and unconscious brain mechanisms, including cognition, emotions and language are considere...
The mechanism of human cognition and its computability provide an important theoretical foundation t...
we formulate our understanding of consciousness in terms of a precise computable and comprehensible...
Image processing systems have typically exhibited a high degree of application specificity. This mak...
Neuro-Symbolic Integration is an interdisciplinary area that endeavours to unify neural networks and...
Research on pattern perception and rule learning, grounded in formal language theory (FLT) and using...
Summary. The paper discusses possible relationships between computational in-telligence, known mecha...
Subject Categories:PSYCHOLOGY Keywords:perceptual symbol system, cognition, perception, knowledge re...
An abstract knowledge representation of cognitive robots - as used for reasoning and planning - typi...
Prior to the twentieth century, theories of knowledge were inherently perceptual. Since then, develo...
One of the interesting questions in cognitive science seems to be whether human beings are already p...
UnrestrictedSymbols are the basis of many forms of human communication and are constantly being deve...
Introduction All existing intelligent systems share a similar biological and evolutionary heritage....
Abstract: "The notion of mind as symbol processor is fundamental to AI and cognitive science, but so...
Embodied theories of cognition propose that symbol systems are analogue (e.g. Barsalou, 1999; Glenbe...
Conscious and unconscious brain mechanisms, including cognition, emotions and language are considere...
The mechanism of human cognition and its computability provide an important theoretical foundation t...
we formulate our understanding of consciousness in terms of a precise computable and comprehensible...
Image processing systems have typically exhibited a high degree of application specificity. This mak...
Neuro-Symbolic Integration is an interdisciplinary area that endeavours to unify neural networks and...
Research on pattern perception and rule learning, grounded in formal language theory (FLT) and using...