Results 41 to 50 of about 1,601 (294)
COULD WE SEE PROPERTIES OF A HIGH ORDER?
Дискурс, 2017 The article is devoted to analysis of philosophical and methodological aspects of contemporary representationalism. The theory of Susanna Siegel was chosen as the investigation subject.
A. I. Ponomarev
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The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Advanced Robotics Research, EarlyView.Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
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, 2022 Abstract Chapter 1 introduces and defends a representationalist account of perceptual experience, maintaining that experience constitutively involves representations of external phenomena. The chapter also argues for a teleosemantic theory of perceptual representation, according to which the representational contents of perceptual states
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Solid Harmonic Wavelet Bispectrum for Image Analysis
Advanced Science, EarlyView.The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
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The unfeasibility of onto-representationalism [PDF]
Much effort has been devoted to explaining in what sense models represent their corresponding target systems. This has been considered a pivotal philosophical problem since representational models have been widely assumed to canalize our knowledge and ...
Martín-Villuendas, Mariano +1 more
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Advanced Science, EarlyView.We propose the Full‐Body AI Agent, a multi‐scale collaborative framework with 7 biological‐layer agents. It unifies multi‐omics/clinical data via standardized protocols, enabling phenotype‐guided closed‐loop reasoning, quantitative evaluation, and LLM safeguards, with promising applications in tumor metastasis modeling and precision drug development ...
Aoqi Wang +11 more
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Predictive coding and representationalism [PDF]
Synthese, 2015 According to the predictive coding theory of cognition (PCT), brains are predictive machines that use perception and action to minimize prediction error, i.e. the discrepancy between bottom–up, externally-generated sensory signals and top–down, internally-generated sensory predictions. Many consider PCT to have an explanatory scope that is unparalleled
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European Journal of Analytic Philosophy, 2020 Pure representationalism or intentionalism for phenomenal experience is the theory that all introspectible qualitative aspects of a conscious experience can be analyzed as qualities that the experience non-conceptually represents the world to have.
Işık Sarıhan
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REPRESENTATIONALISM AND SENSORY MODALITIES: AN ARGUMENT FOR INTERMODAL REPRESENTATIONALISM [PDF]
American Philosophical Quarterly, 2017 Abstract Intermodal representationalists hold that the phenomenal characters of experiences are fully determined by their contents. In contrast, intramodal representationalists hold that the phenomenal characters of experiences are determined by their contents together with their intentional modes or manners of representation, which are ...
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Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
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