Results 61 to 70 of about 601 (159)

Information Dynamics and Learning in Complex Adaptive Systems: Toward a Transdisciplinary Framework

open access: yesSystems Research and Behavioral Science, Volume 43, Issue 4, Page 1344-1363, July/August 2026.
ABSTRACT This article develops a framework for understanding learning and adaptation in complex adaptive systems. Drawing from neuroscience, systems theory, information theory and quantum field theory, it examines how information processing, plasticity and systemic coherence emerge from distributed, nonlinear and feedback‐driven interactions. It argues
Anderson de Souza Sant'Anna
wiley   +1 more source

Quantum mechanics, gravity and modified quantization relations [PDF]

open access: yesPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2015
In this paper, we investigate a possible energy scale dependence of the quantization rules and, in particular, from a phenomenological point of view, an energy scale dependence of an effective (reduced Planck’s constant).
openaire   +4 more sources

Unification of Quantum and Gravity by Non Classical Information Entropy Space

open access: yesEntropy, 2013
A quantum entropy space is suggested as the fundamental arena describing the quantum effects. In the quantum regime the entropy is expressed as the superposition of many different Boltzmann entropies that span the space of the entropies before any ...
Davide Fiscaletti   +2 more
doaj   +1 more source

Systems‐Based Organisational Resilience Framework: A Delphi Study‐Based Validation and Verification

open access: yesSystems Research and Behavioral Science, Volume 43, Issue 4, Page 1615-1644, July/August 2026.
ABSTRACT The increasing systemic complexity of the Fourth Industrial Revolution has heightened the need for robust approaches to organisational resilience. Despite its growing prominence, resilience research remains fragmented, with limited consensus on core dimensions, causal interdependencies and mechanisms suitable for dynamic assessment. This study
Dumisani Manzini   +3 more
wiley   +1 more source

Relational Quantum Mechanics

open access: yes, 2013
arXiv admin note: text overlap with arXiv:0804.3080, arXiv:0812 ...
openaire   +3 more sources

Process and Dynamics in AI and Language Use

open access: yesTopics in Cognitive Science, Volume 18, Issue 3, July 2026.
Abstract In this volumed, Randall Beer and Joanna Rączaszek‐Leonardi have opened an important discussion of what is further needed to enhance the reach of dynamical approaches to cognition. Focusing on issues concerning the nature of language and developments in language technology, we have attempted, in this brief contribution, to place their ...
Eleni Gregoromichelaki, Gregory J. Mills
wiley   +1 more source

A multi‐source fusion and dynamic verification framework for scientific knowledge graph construction: Methods, evaluation, and applications

open access: yesAI Magazine, Volume 47, Issue 2, Summer 2026.
Abstract The exponential growth of scientific literature—over 2.5 million papers and 3.5 million patents annually—poses critical challenges for knowledge discovery. To address these, we propose SCIMKG (Scientific Knowledge Graph), a framework for constructing scientific knowledge graphs via multi‐source heterogeneous multi‐source.
Erxi Zhu, Yuan Hu
wiley   +1 more source

On perspectivism and relationalism of Relational Quantum Mechanics

open access: yesFoundations of Physics
This paper discusses perspectivism and relationalism in the two versions of Relational Quantum Mechanics (RQM): that initiated by Rovelli (Int. J. Theor. Phys.,35(8), 1637–1678 1996) and the other, by Adlam and Rovelli (Philos. Phys., 1(1) 2023). To this end, we offer a substantial discussion of this interpretation.
Luc, Joanna, Placek, Tomasz
openaire   +2 more sources

Randomness in Relational Quantum Mechanics

open access: yesAcademia Letters, 2021
4 pages, no figures or equations, Academia Letters ...
openaire   +2 more sources

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, Volume 13, Issue 35, 24 June 2026.
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
wiley   +1 more source

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