Suchergebnisse - specifying and verifying and reasoning about (progress OR process) general terms algorithms*

Quantum Weakest Preconditions for Reasoning about Expected Runtimes of Quantum Programs.

Autoren: Liu, Junyi Zhou, Li Barthe, Gilles et al.

Quelle: Journal of the ACM; Jun2025, Vol. 72 Issue 3, p1-51, 51p

Schlagwörter: RANDOM walks, GENERALIZATION, ALGORITHMS, PHYSICS, FACTORIES

ARITHMETISING LOGIC: POLYNOMIAL SEMANTICS OF FOL.

Autoren: GABBAY, MURDOCH J.

Quelle: Journal of Applied Logics- IfCoLog Journal of Logics & their Applications (FLAP); Oct2025, Vol. 12 Issue 6, p1481-1548, 68p

Schlagwörter: FIRST-order logic, POLYNOMIALS, CRYPTOGRAPHY, MATHEMATICAL logic, LOGIC

Further N -Frame networking dynamics of conscious observer-self agents via a functional contextual interface: predictive coding, double-slit quantum mechanical experiment, and decision-making fallacy modeling as applied to the measurement problem in humans and AI

Autoren: Edwards, Darren J.

Quelle: Frontiers in Computational Neuroscience; 2025, p1-53, 53p

Schlagwörter: LANGUAGE models, ARTIFICIAL intelligence, COGNITIVE bias, QUANTUM operators, COGNITIVE maps (Psychology)

Empirical Game Theoretic Analysis: A Survey.

Autoren: Wellman, Michael P. Tuyls, Karl Greenwald, Amy

Quelle: Journal of Artificial Intelligence Research; 2025, Vol. 82, p1017-1076, 60p

Schlagwörter: MACHINE learning, AUCTIONS, GAMES, MOTIVATION (Psychology)

Proving Differential Privacy via Probabilistic Couplings

Autoren: Barthe, Gilles Gaboardi, Marco Grégoire, Benjamin et al.

Weitere Verfasser: Barthe, Gilles Gaboardi, Marco Grégoire, Benjamin et al.

Quelle: Proceedings of the 31st Annual ACM/IEEE Symposium on Logic in Computer Science. :749-758

Schlagwörter: probabilistic couplings, FOS: Computer and information sciences, Computer Science - Logic in Computer Science, Computer Science - Cryptography and Security, 02 engineering and technology, [INFO] Computer Science [cs], 16. Peace & justice, General Terms Differential privacy, Logic in Computer Science (cs.LO), Computer Science - Data Structures and Algorithms, 0202 electrical engineering, electronic engineering, information engineering, F31 [Specifying and Verify, ing and Reasoning about Programs], Data Structures and Algorithms (cs.DS), F.3.1, Cryptography and Security (cs.CR)

Dateibeschreibung: application/pdf

Zugangs-URL: http://dl.acm.org/ft_gateway.cfm?id=2934554&type=pdf
http://arxiv.org/abs/1601.05047
https://inria.hal.science/hal-01411097v1/document
https://inria.hal.science/hal-01411097v1
https://doi.org/10.1145/2933575.2934554
https://arxiv.org/pdf/1601.05047.pdf
https://128.84.21.199/abs/1601.05047?context=cs.DS
https://arxiv.org/abs/1601.05047
https://hal.inria.fr/hal-01411097
https://dl.acm.org/doi/pdf/10.1145/2933575.2934554
http://ui.adsabs.harvard.edu/abs/2016arXiv160105047B/abstract
https://hal.archives-ouvertes.fr/hal-01411097
https://dblp.uni-trier.de/db/journals/corr/corr1601.html#BartheGGHS16
https://hal.inria.fr/hal-01411097/document

Formalizing and verifying protocol refinements

Autoren: Scott N. Gerard Munindar P. Singh The Pennsylvania State University CiteSeerX Archives

Weitere Verfasser: Scott N. Gerard Munindar P. Singh The Pennsylvania State University CiteSeerX Archives

Quelle: http://www.csc.ncsu.edu/faculty/mpsingh/papers/mas/TIST-13-refinement.pdf.

Schlagwörter: Categories and Subject Descriptors, I.2.11 [Artificial Intelligence, Distributed Artificial Intelligence—Multiagent Systems, F.3.1 [Specifying and Verifying and Reasoning about Programs, Mechanical verification General Terms, Algorithms, Languages, Theory, Verification Additional Key Words and Phrases, Commitments, Agent communication, Verification of multiagent systems

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.300.4623

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.300.4623
http://www.csc.ncsu.edu/faculty/mpsingh/papers/mas/TIST-13-refinement.pdf

Deep Learning With DAGs.

Autoren: Balgi, Sourabh Daoud, Adel Peña, Jose M. et al.

Quelle: Sociological Methods & Research; Nov2025, Vol. 54 Issue 4, p1624-1682, 59p

Schlagwörter: DEEP learning, CAUSAL inference, CAUSATION (Philosophy), CAUSAL models, DIRECTED acyclic graphs, STATUS attainment, SCIENTIFIC observation, FLOWGRAPHS

Citation of AI Contributions in Scientific Publications; How, Where and Why?

Autoren: Abu-Naba'a, Layla A.

Quelle: Jordan Journal of Dentistry; Oct2025, Vol. 2 Issue 4, p6-16, 11p

Goal-directed weakening of abstract interpretation results

Autoren: Hongseok Yang Sunae Seo Kwangkeun Yi et al.

Weitere Verfasser: Hongseok Yang Sunae Seo Kwangkeun Yi et al.

Quelle: http://ropas.snu.ac.kr/~kwang/paper/07-toplas-yaseyiha.pdf.

Schlagwörter: Categories and Subject Descriptors, F.3.1 [Specifying and Verifying and Reasoning about Programs, Mechanical verification, D.2.4 [Software/Program Verification, Correctness proofs General Terms, Algorithms, Design, Languages, Verification Additional Key Words and Phrases, Program verification, Static analysis, Abstract interpretation, Backward analysis

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.105.722

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.105.722
http://ropas.snu.ac.kr/~kwang/paper/07-toplas-yaseyiha.pdf

Programming and reasoning about actors that share state.

Quelle: Journal of Functional Programming; 2024, Vol. 34, p1-69, 69p

Schlagwörter: ACTORS, SHARING, WISHES, CONVERSATION

Reasoning about Decidability of Strategic Logics with Imperfect Information and Perfect Recall Strategies.

Autoren: Catta, Davide Ferrando, Angelo Malvone, Vadim

Quelle: Journal of Artificial Intelligence Research; 2025, Vol. 82, p777-817, 41p

Schlagwörter: CHECKS, LOGIC

When a machine detects student reasoning: a review of machine learning-based formative assessment of mechanistic reasoning.

Autoren: Martin, Paul P. Graulich, Nicole

Quelle: Chemistry Education: Research & Practice; 2023, Vol. 24 Issue 2, p407-427, 21p

Schlagwörter: MACHINE learning, TECHNOLOGICAL innovations

A Method for the Solution of Certain Non-Linear Problems of Combined Seagoing Main Engine Performance and Fixed-Pitch Propeller Hydrodynamics with Imperative Assignment Statements and Streamlined Computational Sequences.

Autoren: Andritsakis, Eleutherios Christos

Quelle: Computation; Aug2025, Vol. 13 Issue 8, p202, 84p

Schlagwörter: SHIP propulsion, HYDRODYNAMICS, ENERGY consumption, QUANTITATIVE research, ENGINEERING mathematics

INTERLEAVING LOGIC AND COUNTING.

Autoren: VAN BENTHEM, JOHAN ICARD, THOMAS

Quelle: Bulletin of Symbolic Logic; Dec2024, Vol. 29 Issue 4, p503-587, 85p

Schlagwörter: ARITHMETIC, DIOPHANTINE equations, GENERALIZATION, MONOTONIC functions, QUANTIFIERS (Linguistics)

Synchronised Shared Memory and Model Checking.

Autoren: Aguado, Joaquín Duenas, Alejandra

Quelle: ACM Transactions on Embedded Computing Systems; Sep2024, Vol. 23 Issue 5, p1-30, 30p

Schlagwörter: MEMORY, SEMANTICS, SCHEDULING

The Venus score for the assessment of the quality and trustworthiness of biomedical datasets.

Autoren: Chicco, Davide Fabris, Alessandro Jurman, Giuseppe

Quelle: BioData Mining; 1/9/2025, Vol. 18 Issue 1, p1-31, 31p

Schlagwörter: MEDICAL informatics, COMPUTATIONAL biology, TRUST, ELECTRONIC health records, ARTIFICIAL intelligence

The Applied Pi Calculus: Mobile Values, New Names, and Secure Communication.

Autoren: ABADI, MARTÍN BLANCHET, BRUNO FOURNET, CÉDRIC

Quelle: Journal of the ACM; Oct2017, Vol. 65 Issue 1, p1-1:41, 41p

Schlagwörter: BUCKINGHAM pi theorem, CALCULUS, MATHEMATICAL programming, COMPUTER software, COMPUTER network protocols, COMPUTER network security

(Chinavis 2024) TextLens: large language models-powered visual analytics enhancing text clustering.

Autoren: Peng, Ruixiao Dong, Yu Li, Guan et al.

Quelle: Journal of Visualization; Jun2025, Vol. 28 Issue 3, p625-643, 19p

Proof-Guided Underapproximation-Wideningfor Multi-Process Systems

Weitere Verfasser: The Pennsylvania State University CiteSeerX Archives

Quelle: http://www.cs.technion.ac.il/users/orna/underapp-widening-popl05.ps.gz.

Schlagwörter: Categories and Subject Descriptors D.2.4 [Software/Program Verification, Model checking, F.3.1[Specifying and Verifying and Reasoning about Programs, Mechanical verification General Terms Algorithms, Reliability, Verification Keywords Abstraction, Bounded model checking, SAT proofs, Software Ver-ification, Underapproximation-Widening

Dateibeschreibung: application/postscript

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.73.8954

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.73.8954
http://www.cs.technion.ac.il/users/orna/underapp-widening-popl05.ps.gz

NeuroCERIL: Robotic Imitation Learning via Hierarchical Cause-Effect Reasoning in Programmable Attractor Neural Networks.

Autoren: Davis, Gregory P. Katz, Garrett E. Gentili, Rodolphe J. et al.

Quelle: International Journal of Social Robotics; Aug2023, Vol. 15 Issue 8, p1277-1295, 19p

Schlagwörter: COGNITION, SOCIAL robots, SHORT-term memory, CONTROL (Psychology), MEMORY, MIRROR neurons