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Word embeddings are a popular way to improve downstream performances in contemporary language modeling. However, the underlying geometric structure of the embedding space is not well understood. We present a series of explorations using…

Computation and Language · Computer Science 2020-09-17 Hongwei , Zhou , Oskar Elek , Pranav Anand , Angus G. Forbes

Subjective expected utility theory assumes that decision-makers possess unlimited computational resources to reason about their choices; however, virtually all decisions in everyday life are made under resource constraints - i.e.…

Machine Learning · Statistics 2016-10-07 Pedro A. Ortega , Alan A. Stocker

Living systems exhibit a range of fundamental characteristics: they are active, self-referential, self-modifying systems. This paper explores how these characteristics create challenges for conventional scientific approaches and why they…

Emerging Technologies · Computer Science 2025-08-18 Samson Abramsky , Wolfgang Banzhaf , Leo S. D. Caves , Michael Levin , Penousal Machado , Charles Ofria , Susan Stepney , Roger White

Memory is often defined as the mental capacity of retaining information about facts, events, procedures and more generally about any type of previous experience. Memories are remembered as long as they influence our thoughts, feelings, and…

Neurons and Cognition · Quantitative Biology 2017-06-16 Stefano Fusi

At the intersection of what I call uncomputable art and computational epistemology, a form of experimental philosophy, we find an exciting and promising area of science related to causation with an alternative, possibly best possible,…

Other Computer Science · Computer Science 2021-09-20 Hector Zenil

The apparent fine-tuning of several fundamental parameters that determine the properties of our Universe and make it hospitable to life is sometimes used as an argument for God from design. I review the concept of cosmic fine-tuning and…

History and Philosophy of Physics · Physics 2025-02-18 Adam D. Hincks

Redox biology underpins signalling, metabolism, immunity, and adaptation, yet lacks a unifying theoretical framework capable of formalising structure, function, and dynamics. Current interpretations rely on descriptive catalogues of…

Biomolecules · Quantitative Biology 2026-02-10 James N. Cobley , Michalis G. Nikolaidis

Data physicalization is a research area in quick expansion whose necessity and popularity are motivated by the pervasiveness of data in our everyday. While the reflective ability of personal data physicalization has been vastly documented,…

Human-Computer Interaction · Computer Science 2024-05-17 Maria Teresa Ortoleva , Rita Borgo , Alfie Abdul-Rahman

There is a vast supply of prior art that study models for mental processes. Some studies in psychology and philosophy approach it from an inner perspective in terms of experiences and percepts. Others such as neurobiology or…

Artificial Intelligence · Computer Science 2012-03-20 Rina Panigrahy , Li Zhang

It is normally claimed that physical systems create and influence consciousness, but that consciousness cannot influence physical systems. However, I believe that this idea is flawed, and I suggest the following experiments as a way of…

Quantum Physics · Physics 2007-05-23 Richard A Mould

Science is a crowning glory of the human spirit and its applications remain our best hope for social progress. But there are limitations to current science and perhaps to any science. The general mind-body problem is known to be intractable…

Neurons and Cognition · Quantitative Biology 2022-03-29 Jerome Feldman

Scientific experimentation and manufacturing rely on prolonged protocol development and complex, multi-step implementation, which require continuous human expertise for precise execution and decision-making, limiting interpretability and…

Artificial Intelligence · Computer Science 2026-02-09 Xinyi Lin , Yuyang Zhang , Yuanhang Gan , Juntao Chen , Hao Shen , Yichun He , Lijun Li , Ze Yuan , Shuang Wang , Chaohao Wang , Rui Zhang , Na Li , Jia Liu

Brain science and artificial intelligence have made great progress toward the understanding and engineering of the human mind. The progress has accelerated significantly since the turn of the century thanks to new methods for probing the…

Neurons and Cognition · Quantitative Biology 2021-07-29 Yoonsuck Choe

We reexamine the generalized cognitive homunculus, an organism's internalized image of its physiological, psychological, and social state, which, when properly adjusted, can quickly detect subtle deviations from a reference configuration.…

Neurons and Cognition · Quantitative Biology 2007-05-23 Rodrick Wallace

MemComputing is a new model of computation that exploits the non-equilibrium property-we call 'memory'-of any physical system to respond to external perturbations by keeping track of how it has reacted at previous times. Its digital,…

Disordered Systems and Neural Networks · Physics 2025-12-05 Massimiliano Di Ventra

Embodied intelligence has witnessed remarkable progress in recent years, driven by advances in computer vision, natural language processing, and the rise of large-scale multimodal models. Among its core challenges, robot manipulation stands…

Enquiries concerning the underlying mechanisms and the emergent properties of a biological brain have a long history of theoretical postulates and experimental findings. Today, the scientific community tends to converge to a single…

Neurons and Cognition · Quantitative Biology 2022-01-17 Zafeirios Fountas , Alexey Zakharov

In this paper, we explore how performers' embodied interactions with a Neural Audio Synthesis model allow the exploration of the latent space of such a model, mediated through movements sensed by e-textiles. We provide background and…

This article presents a naturalist approach to cognition understood as a network of info-computational, autopoietic processes in living systems. It provides a conceptual framework for the unified view of cognition as evolved from the…

Other Computer Science · Computer Science 2014-01-29 Gordana Dodig-Crnkovic

Manipulation of the effects of consciousness by external influence on the human brain is considered in the context of the nonlinear dynamical modeling of interaction between automatic and conscious processes.

Pattern Formation and Solitons · Physics 2007-05-23 E. A. Novikov
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