Results 71 to 80 of about 938,794 (293)
Default Logic in a Coherent Setting
In this talk - based on the results of a forthcoming paper (Coletti, Scozzafava and Vantaggi 2002), presented also by one of us at the Conference on "Non Classical Logic, Approximate Reasoning and Soft-Computing" (Anacapri, Italy, 2001) - we discuss the problem of representing default rules by means of a suitable coherent conditional probability ...
COLETTI, Giulianella +2 more
openaire +4 more sources
Integration of Reconfigurable p‐Bit and 1R Crossbar Array for Memristive Probabilistic Computing
A memristive probabilistic computing system is demonstrated by integrating stochastic p‐bits based on volatile memristors with a 1R crossbar array encoding interaction weights. The system performs weighted‐sum operations across the array and updates p‐bits iteratively.
Keunho Soh +7 more
wiley +1 more source
Herbicide Metabolic Resistance in Poaceae Plants via the GA‐GID1/DELLA‐DOF2‐P450s Module
Plant hormone signaling modulates herbicide resistance in Echinochloa crus‐galli. The GA–DELLA–DOF2 cascade directly activates P450 detoxification genes in two Poaceae species, uncovering a core mechanism of metabolic herbicide resistance. ABSTRACT Barnyard grass (Echinochloa crus‐galli) is one of the world's most important weeds, and the evolution of ...
Junzhi Wang +6 more
wiley +1 more source
Provability Logic for Default Reasoning 2
The goal of our research is to highlight the connection between modal provability theory and default logic. Our work continues the research tradition in which definitions of extensions in default logic are related to modal systems.
DOV GABBAY +3 more
core
Geometric constraint reconfiguration enables a rigid–foldable kirigami‐inspired mechanism to switch between twisting, directional translation, and self‐locking states. By encoding multifunctionality directly into its architecture, the mechanism achieves multimodal motion and passive locking without reassembly, providing a compact platform for adaptive ...
Jianlin Wang, Zhongmin Song, Ketao Zhang
wiley +1 more source
Receptogenesis in a Vascularized Robotic Embodiment
Functional augmentation of situated robots via ex novo hardware generation extends physical adaptability. Drawing inspiration from open circulatory systems for mass and function redistribution, this study presents a vascularized robotic composite exhibiting receptogenesis ‐ the on‐demand construction of sensors ‐ from internal fluid reserves based on ...
Kadri‐Ann Pankratov +8 more
wiley +1 more source
An attention‐based multimodal deep learning framework is developed to predict the creep life of Ni‐based superalloys by fusing processing parameters with microstructural micrographs. The model achieves high accuracy (R2 = 0.92), aligns with metallurgical principles by capturing δ‐phase influence, and incorporates uncertainty quantification, offering a ...
Haopeng Lv +10 more
wiley +1 more source
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao +6 more
wiley +1 more source
This commentary discusses the role of increasingly artificial intelligence-infused big tech platforms in facilitating and normalising high-emission lifestyles and consumption practices. It introduces the notion of algorithmically facilitated emissions to
Jutta Haider, Malte Rödl, James White
doaj +1 more source
Stratification for Default Logic Variants
Default reasoning is computationally expensive. One of the most promising ways of easing this problem and developing powerful implementations is to split a default theory into smaller parts and compute extensions in a modular, “local” way. Up to now this
Antoniou, G, Antoniou, Grigorios
core +1 more source

