Papers in this group
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Languages seem to fall into three communicative types. They all talk about reality, but they do not understand it in the same way: (1) some (Russian, Chinese and Hindi) talk about the situation common to the speaker and the hearer, (2) others…
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The experimental cognitive robot XCR-1 is a small three-wheel robot with gripper hands, multiple sensory modalities, and self-talk. The robot XCR-1 is designed for studies and experiments with a new paradigm for cognitive computation, namely an…
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To decide “Where to look next ?” is a central function of the attention system of humans, animals and robots. Control of attention depends on three factors, that is, low-level static and dynamic visual features of the environment (bottom-up),…
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The maximum entropy (ME) method is a powerful supervised machine learning technique that is useful for various tasks. In this paper, we introduce new studies that successfully employ ME for natural language processing (NLP) problems including…
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“All life is problem solving,” said Popper. To deal with arbitrary problems in arbitrary environments, an ultimate cognitive agent should use its limited hardware in the “best” and “most efficient” possible way. Can we formally nail down this…
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Emotional speech characterization is an important issue for the understanding of interaction. This article discusses the time-scale analysis problem in feature extraction for emotional speech processing. We describe a computational framework for…
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The traditional approaches—of symbolic artificial intelligence (AI) and of sub-symbolic neural networks—towards artificial cognition have not been very successful. The rule-based symbolic AI approach has proven to be brittle and unable to provide…
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We model the mechanism of the retrieval of associations from the associative memory during visual scene analysis. During the analysis of the visual scene, the retrieval phase of the associative memory is divided into two stages: the attention stage…
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The Perceptual and Cognitive Role of Visual and Auditory Channels in Conveying Emotional InformationIn expressing emotional states, we generate a synaesthesic experience in our interlocutor when we transmit information about our feelings by the simultaneous use of several sensorial channels. These are referred to as verbal (the semantic content of…
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This article describes an approach in the field of reinforcement learning for robot control and a new Modular Actor-Critic architecture which supports platform-independent robot control. The architecture is tested on a landmark approaching task…
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This paper explores how mental disorders of certain types might be explained based on mechanisms and processes of human motivation (including drives and goals) and action selection (as well as other related mechanisms and processes), within a…
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There is a relationship between perception through biological senses and simple problem-solving. According to the production system theory, we can define a geometrically based problem-solving model as a production system operating on vectors of…
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A new constituent of visual attention theory is proposed based on research in an animal model system. That showed that the neuromodulators released by efference from that animal’s brain can accelerate or retard the potentials produced by visual…
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Although the mechanisms of human visual understanding remain partially unclear, computational models inspired by existing knowledge on human vision have emerged and applied to several fields. In this paper, we propose a novel method to compute…
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It is important for practical application to design an effective and efficient metric for video quality. The most reliable way is by subjective evaluation. Thus, to design an objective metric by simulating human visual system (HVS) is quite…
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Spatial learning involves the storage and replay of temporally ordered spatial information. The hippocampus is a key brain structure involved in spatial learning in rats. Temporally ordered spatial memories are encoded and replayed by the firing…
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The recent success of media-sharing services caused an exponential growth of community-contributed multimedia data on the Web and hence a consistent shift of the flow of information from traditional communication channels to social media ones.…
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