Results 61 to 70 of about 189,472 (279)
Toward a probability theory for product logic: states, integral representation and reasoning
The aim of this paper is to extend probability theory from the classical to the product t-norm fuzzy logic setting. More precisely, we axiomatize a generalized notion of finitely additive probability for product logic formulas, called state, and show ...
Flaminio, Tommaso +2 more
core +1 more source
Probabilistic Preference Logic Networks
Reasoning about an entity's preferences (be it a user of an application, an individual targeted for marketing, or a group of people whose choices are of interest) has a long history in different areas of study. In this paper, we adopt the point of view that grows out of the intersection of databases and knowledge representation, where preferences are ...
Lukasiewicz T. +2 more
openaire +3 more sources
2D Nanomaterials Toward Function‐Ready Superlubricity in Advanced Microsystems
A unified framework links structural and transformation superlubricity with microsystem functions and deployment requirements. Mechanisms, device architectures, integration strategies, AI‐guided discovery, and benchmarking protocols are connected to define function‐ready superlubricity in advanced microsystems.
Yushan Geng, Jun Yang, Yong Yang
wiley +1 more source
Speakable in quantum mechanics: babbling on [PDF]
This paper consists of a short version of the derivation of the intuitionistic quantum logic L_QM (which was originally introduced by Caspers, Heunen, Landsman and Spitters).
Ronnie Hermens
doaj +1 more source
A study of fuzzy and many-valued logics in cellular automata
In this paper we provide an analytical study of the theory of multi-valued and fuzzy cellular automata where the fuzziness appears as the result of the application of an underlying multi-valued or continuous logic as opposed to standard logic as used ...
Mingarelli, Angelo B.
core +3 more sources
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
CHR(PRISM)-based Probabilistic Logic Learning
PRISM is an extension of Prolog with probabilistic predicates and built-in support for expectation-maximization learning. Constraint Handling Rules (CHR) is a high-level programming language based on multi-headed multiset rewrite rules.
Abdennadher +15 more
core +2 more sources
Large size (∼100 µm) monolayer MoS2 grown by LPI‐CVD on n‐GaN exhibit a high n‐type doping, very low strain, and a type‐I band alignment at MoS2/GaN interface. Photocurrent measurements under illumination with photon energies from ∼2 to ∼5 eV show superior electro‐optical performances of these MoS2/n‐GaN heterojunctions as compared to Ni/n‐GaN devices ...
Salvatore Ethan Panasci +12 more
wiley +1 more source
Probabilistic computing using Cu0.1Te0.9/HfO2/Pt diffusive memristors
Designing a computing scheme to solve complex tasks as the big data field proliferates remains a challenge. Here, the authors present a probabilistic bit generation hardware built using the random nature of Cu x Te1−x /HfO2/Pt memristors capable of ...
Kyung Seok Woo +5 more
doaj +1 more source
Evolution of Materials and Device Stacks for HfO2‐Based Ferroelectric Memories
This review summarizes engineering strategies for HfO2 based ferroelectric memories with focus on FeCAP and FeFET structures. It describes how dopant design, stress effects, and interface engineering improve the bulk ferroelectric response. It further discusses how channel engineering supports reliable memory characteristics and scalable integration ...
Eunjin Kim, Jiyong Woo
wiley +1 more source

