559 research outputs found

    A biologically plausible, neural-inspired planning approach which does not solve ‘The gourd, the monkey, and the rice’ puzzle

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    This article describes research work aimed at designing a biologically inspired, neural network based computational model for planning. The article extends our previous work (Mastrogiovanni et al. (2010) International Journal of Machine Consciousness, 3, 91–114) by solving problems making the previous approach hard to apply in real-world scenarios. The proposed solution is based on two conjectures on the way the cognitive capabilities of living beings have evolved, and purposely ignores the human-level skills required for solving complex puzzles. In this spirit, we take inspiration from ethology to introduce a new puzzle, henceforth referred to as the ‘The gourd, the monkey, and the rice’: then, we argue that our planning approach fails to solve the puzzle as well as the real monkeys fail to solve it, and we suggest a biologically plausible explanation for the reason why this happens

    Gesture-Based Human–Machine Interaction: Taxonomy, Problem Definition, and Analysis

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    The possibility for humans to interact with physical or virtual systems using gestures has been vastly explored by researchers and designers in the last 20 years to provide new and intuitive interaction modalities. Unfortunately, the literature about gestural interaction is not homogeneous, and it is characterized by a lack of shared terminology. This leads to fragmented results and makes it difficult for research activities to build on top of state-of-the-art results and approaches. The analysis in this article aims at creating a common conceptual design framework to enforce development efforts in gesture-based human-machine interaction (HMI). The main contributions of this article can be summarized as follows: 1) we provide a broad definition for the notion of functional gesture in HMI; 2) we design a flexible and expandable gesture taxonomy; and 3) we put forward a detailed problem statement for gesture-based HMI. Finally, to support our main contribution, this article presents and analyzes 83 most pertinent articles classified on the basis of our taxonomy and problem statement
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