Results 41 to 50 of about 263 (134)

Simultaneous Network Design With Restricted Link Usage

open access: yesNetworks, EarlyView.
ABSTRACT Given a digraph with two terminal vertices s$$ s $$ and t$$ t $$ as well as a conservative cost function and several not necessarily disjoint color classes on its arc set, our goal is to find a minimum‐cost subset of the arcs such that its intersection with each color class contains an s$$ s $$‐t$$ t $$ dipath.
Naonori Kakimura   +3 more
wiley   +1 more source

Using Boinc Desktop Grid To Solve Large Scale Sat Problems

open access: yesComputer Science, 2012
Many practically important combinatorial problems can be efficiently reducedto a problem of Boolean satisfiability (SAT). Therefore, the implementation ofdistributed algorithms for solving SAT problems is of great importance. In thisarticle we describe a
Mikhail Posypkin   +2 more
doaj   +1 more source

Complete on Average Boolean Satisfiability

open access: yesJournal of Complexity, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Machine Learning for Programmable Nanosystems: From Liposome Formulation to DNA Origami and Hybrid Vesicles

open access: yesSmall, EarlyView.
This mini review highlights how machine learning can accelerate the design of programmable nanosystems. It summarizes data‐driven approaches for predicting liposome properties, guiding DNA origami design and image analysis, and optimizing emerging liposome‐DNA hybrid platforms.
Daniel Q. Zhang, Matthew A. B. Baker
wiley   +1 more source

Revenge Russell‐Myhill and the Ramified Hierarchy

open access: yesTheoria, EarlyView.
ABSTRACT The Russell‐Myhill paradox targeting the structuralist view of proposition in classical higher‐order logic is blocked by implementing restrictions associated with an ordinary account of predicativity. However, it has been shown that these restrictions are not safe: “revenge” versions of the paradox show the inconsistency of the structuralist ...
Jacopo Berneri
wiley   +1 more source

Fault Tolerant Boolean Satisfiability

open access: yesJournal of Artificial Intelligence Research, 2006
A delta-model is a satisfying assignment of a Boolean formula for which any small alteration, such as a single bit flip, can be repaired by flips to some small number of other bits, yielding a new satisfying assignment. These satisfying assignments represent robust solutions to optimization problems (e.g., scheduling) where it is possible to recover ...
openaire   +4 more sources

Boolean satisfiability in quantum compilation

open access: yesPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2019
Quantum compilation is the task of translating a quantum algorithm implemented in a high-level quantum programming language into a technology-dependent instructions flow for a physical quantum computer. To tackle the large gap between the quantum program and the low-level instructions, quantum compilation is split into a multi-stage flow consisting of ...
Mathias Soeken   +5 more
openaire   +4 more sources

Tools are all you need

open access: yesAI Magazine, Volume 47, Issue 4, Winter 2026.
Abstract Even while AI based on large language models makes enormous advances, many AI researchers and pundits argue that it LLMs are an inadequate basis for AI because they do not support exact logical and probabilistic reasoning. I argue in response that LLMs can and are using tools to perform such normative reasoning, and thus are in face already ...
Henry Kautz
wiley   +1 more source

MAX-SAT Problem using Hybrid Harmony Search Algorithm

open access: yesJournal of Intelligent Systems, 2018
Maximum Satisfiability problem is an optimization variant of the Satisfiability problem (SAT) denoted as MAX-SAT. The aim of this problem is to find Boolean variable assignment that maximizes the number of satisfied clauses in the Boolean formula.
Abu Doush Iyad   +3 more
doaj   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

open access: yesAdvanced Engineering Materials, Volume 28, Issue 20, 21 October 2026.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani   +7 more
wiley   +1 more source

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