This review brings together two fundamental, but unreconciled, aspects of human language: embodiment and compositionality. One major scientific advance in recent decades has been Embodiment - the realization that scientific understanding of mind and language entails detailed modeling of the human brain and how it evolved to control a physical body in a social community. The ability to learn and use language is one of the most characteristically human traits. Many animals signal, but only people can express and understand an essentially unbounded range of messages. The technical term for the ability of human language to support all these messages from a few dozen alphabetic symbols is Compositionality. Rigor is essential for the advancement of any science, but there has been essentially no overlap between efforts to formalize language compositionality and the manifest embodiment of thought. Recent developments suggest that it is feasible to formalize the compositionality of embodied language, but that this requires a focus on conceptual composition and better understanding of contextual best-fit.
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http://dx.doi.org/10.1016/j.plrev.2010.06.006 | DOI Listing |
Sensors (Basel)
January 2025
School of Communication and Information Engineering, Xi'an University of Science and Technology, Xi'an 710054, China.
Artificial intelligence (AI), particularly through advanced large language model (LLM) technologies, is reshaping coal mine safety assessment methods with its powerful cognitive capabilities. Given the dynamic, multi-source, and heterogeneous characteristics of data in typical mining scenarios, traditional manual assessment methods are limited in their information processing capacity and cost-effectiveness. This study addresses these challenges by proposing an embodied intelligent system for mine safety assessment based on multi-level large language models (LLMs) for multi-source sensor data.
View Article and Find Full Text PDFBiology (Basel)
January 2025
School of Instrumentation Science and Optoelectronic Engineering, Beihang University, Beijing 100191, China.
Neural oscillations observed during semantic processing embody the function of brain language processing. Precise parameterization of the differences in these oscillations across various semantics from a time-frequency perspective is pivotal for elucidating the mechanisms of brain language processing. The superlet transform and cluster depth test were used to compute the time-frequency representation of oscillatory difference (ODTFR) between neural activities recorded by optically pumped magnetometer-based magnetoencephalography (OPM-MEG) during processing congruent and incongruent Chinese semantics.
View Article and Find Full Text PDFIntegr Psychol Behav Sci
January 2025
Archives Henri Poincaré, Université de Lorraine, Nancy, France.
While widely considered Alexander Luria's (1902-1977) autobiography, The Making of Mind. A Personal Account of Soviet Psychology, published posthumously in 1979, is not a true autobiography but rather an autobiography with heterobiographic elements. However, the largely overlooked Spanish book, Mirando hacia atrás.
View Article and Find Full Text PDFFront Psychiatry
January 2025
Department of Psychiatry, Faculty of Medicine, Masaryk University, Brno, Czechia.
Introduction: Virtual reality (VR) holds significant promise for psychiatric research, treatment, and assessment. Its unique ability to elicit immersion and presence is important for effective interventions. Immersion and presence are influenced by matching-the alignment between provided sensory information and user feedback, and self-presentation-the depiction of a user's virtual body or limbs.
View Article and Find Full Text PDFCognition
January 2025
Department of Psychological & Brain Sciences, Johns Hopkins University, Baltimore, MD, USA. Electronic address:
The 'different-body/different-concepts hypothesis' central to some embodiment theories proposes that the sensory capacities of our bodies shape the cognitive and neural basis of our concepts. We tested this hypothesis by comparing behavioral semantic similarity judgments and neural signatures (fMRI) of 'visual' categories ('living things,' or animals, e.g.
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