Search Results - acm: i.: computing methodologies/i.2: artificial intelligence/i.2.8: problems solving~

ACM Classification Keywords: I. Computing methodologies I.1.Symbolic and algebraic manipulation I.1.3.Evaluation strategies I.2.Artificial Intelligence I.2.8.Problem solving Control Methods and Search –

Authors: Galina Setlak The Pennsylvania State University CiteSeerX Archives

Contributors: Galina Setlak The Pennsylvania State University CiteSeerX Archives

Source: http://www.foibg.com/ibs_isc/ibs-09/ibs-09-p13.pdf.

Subject Terms: Artificial intelligence, flexible assembly systems, evolutionary algorithm, production scheduling

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Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.387.956

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.387.956
http://www.foibg.com/ibs_isc/ibs-09/ibs-09-p13.pdf

A modelling framework based on MDP to coordinate farmers' disease control decisions at a regional scale

Authors: Viet, Anne-France Krebs, Stéphane Rat-Aspert, Olivier et al.

Contributors: Viet, Anne-France Krebs, Stéphane Rat-Aspert, Olivier et al.

Source: PLoS One
PLoS ONE, Vol 13, Iss 6, p e0197612 (2018)
Plos One 6 (13), e0197612. (2018)

Subject Terms: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Farms, Swine, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.5: Model Development/I.6.5.0: Modeling methodologies, Science, Decision Making, Cattle Diseases, Communicable Diseases, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.8: Problem Solving, 0403 veterinary science, Animals, Humans, Animal Husbandry, 2. Zero hunger, and Search/I.2.8.1: Control theory, [SDV.BA.MVSA]Life Sciences [q-bio]/Animal biology/Veterinary medicine and animal Health, Farmers, [INFO.INFO-GT]Computer Science [cs]/Computer Science and Game Theory [cs.GT], [SDV.BA.MVSA] Life Sciences [q-bio]/Animal biology/Veterinary medicine and animal Health, 04 agricultural and veterinary sciences, 15. Life on land, MIS), [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, Markov Chains, 3. Good health, Control Methods, and Search/I.2.8.2: Dynamic programming, [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA], [INFO.INFO-GT] Computer Science [cs]/Computer Science and Game Theory [cs.GT], Costs and Cost Analysis, Medicine, Cattle, [INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA], [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, ACM: H.: Information Systems/H.4: INFORMATION SYSTEMS APPLICATIONS/H.4.2: Types of Systems/H.4.2.0: Decision support (e.g, Research Article

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Access URL: https://pubmed.ncbi.nlm.nih.gov/29897988
https://doaj.org/article/d97ece2b9dbe471885d34b2bb6607d12
https://ui.adsabs.harvard.edu/abs/2018PLoSO..1397612V/abstract
https://www.ncbi.nlm.nih.gov/pubmed/29897988
https://pubmed.ncbi.nlm.nih.gov/29897988/
https://hal.archives-ouvertes.fr/hal-01815389/document
https://hal.archives-ouvertes.fr/hal-01815389
https://europepmc.org/articles/PMC5999088
http://prodinra.inra.fr/record/443608
https://hal.science/hal-01815389v1
https://hal.science/hal-01815389v1/document
https://doi.org/10.1371/journal.pone.0197612

ImproteK: introducing scenarios into human-computer music improvisation

Authors: Nika, Jérôme Chemillier, Marc Assayag, Gérard et al.

Contributors: Nika, Jérôme Chemillier, Marc Assayag, Gérard et al.

Source: ACM Computers in Entertainment ; https://hal.science/hal-01380163 ; ACM Computers in Entertainment, 2017, ⟨10.1145/3022635⟩

Subject Terms: Planning under uncertainty, Symbolic and algebraic algorithms, Motif discovery, Heuristic function construction, Markov processes, Combinatorics on words, Music retrieval, Performing arts, Sound and music computing, modeling and modularity, Abstraction, Real-time system architecture, Intelligent agents, Modeling methodologies, ACM: H.: Information Systems/H.5: INFORMATION INTERFACES AND PRESENTATION (e.g., HCI)/H.5.5: Sound and Music Computing/H.5.5.1: Modeling, HCI)/H.5.5: Sound and Music Computing/H.5.5.2: Signal analysis, synthesis, and processing, HCI)/H.5.5: Sound and Music Computing/H.5.5.3: Systems, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.8: Problem Solving, Control Methods, and Search/I.2.8.4: Heuristic methods, ACM: F.: Theory of Computation/F.2: ANALYSIS OF ALGORITHMS AND PROBLEM COMPLEXITY/F.2.2: Nonnumerical Algorithms and Problems/F.2.2.3: Pattern matching, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.5: Structural, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications/I.5.4.1: Signal processing, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.11: Distributed Artificial Intelligence/I.2.11.1: Intelligent agents, ACM: D.: Software/D.4: OPERATING SYSTEMS/D.4.7: Organization and Design/D.4.7.4: Real-time systems and embedded systems, [INFO.INFO-SD]Computer Science [cs]/Sound [cs.SD], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

Availability: https://hal.science/hal-01380163
https://hal.science/hal-01380163v1/document
https://hal.science/hal-01380163v1/file/ACM-CiE_ImproteK_Nika-et-al_2017.pdf
https://doi.org/10.1145/3022635

Engineering Courses on Computational Thinking Through Solving Problems in Artificial Intelligence.

Authors: Silapachote, Piyanuch Srisuphab, Ananta

Source: International Journal of Engineering Pedagogy; 2017, Vol. 7 Issue 3, p34-49, 16p

Subject Terms: ENGINEERING education, ARTIFICIAL intelligence, PROBLEM solving

Metaheuristics approaches to solve some variants of the Heterogeneous Fixed fleet Vehicle Routing Problems ; Approches métaheuristiques pour résoudre quelques variantes de problème de tournées de véhicules avec flotte limitée

Authors: Euchi, Jalel Laboratoire de Mathématiques Appliquées du Havre (LMAH) Université Le Havre Normandie (ULH) et al.

Contributors: Euchi, Jalel Laboratoire de Mathématiques Appliquées du Havre (LMAH) Université Le Havre Normandie (ULH) et al.

Source: https://tel.archives-ouvertes.fr/tel-01273816 ; Artificial Intelligence [cs.AI]. Université du Havre, 2011. English.

Subject Terms: Heuristics, Logistique, Transport, Problèmes de tournées de véhicules, Flotte limitée, Métaheuristiques, ACM: F.: Theory of Computation/F.2: ANALYSIS OF ALGORITHMS AND PROBLEM COMPLEXITY, ACM: I.: Computing Methodologies, ACM: D.: Software/D.2: SOFTWARE ENGINEERING, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO]

Relation: tel-01273816; https://tel.archives-ouvertes.fr/tel-01273816; https://tel.archives-ouvertes.fr/tel-01273816/document; https://tel.archives-ouvertes.fr/tel-01273816/file/th%C3%A8se_jalel_euchi.pdf

Availability: https://tel.archives-ouvertes.fr/tel-01273816
https://tel.archives-ouvertes.fr/tel-01273816/document
https://tel.archives-ouvertes.fr/tel-01273816/file/th%C3%A8se_jalel_euchi.pdf

Metasynthesis: M-Space, M-Interaction, and M-Computing for Open Complex Giant Systems.

Authors: Longbing Cao Ruwei Dai Mengchu Zhou

Source: IEEE Transactions on Systems, Man & Cybernetics: Part A; Sep2009, Vol. 39 Issue 5, p1007-1021, 15p, 3 Black and White Photographs, 4 Diagrams, 1 Chart

Subject Terms: DECISION making, COMPLEXITY (Philosophy), INFORMATION resources, INTELLIGENT agents, ARTIFICIAL intelligence software, PROBLEM solving

Data Science: Challenges and Directions.

Authors: CAO, LONGBING

Source: Communications of the ACM; Aug2017, Vol. 60 Issue 8, p59-68, 10p, 7 Diagrams

Subject Terms: DATA science, SYSTEMS development, ARTIFICIAL intelligence, PROBLEM solving, HUMAN-computer interaction, COMPUTER software

Applications of a logic of knowledge to motion planning under uncertainty

Authors: Jean-Claude Latombe Yoram Moses Yoav Shoham et al.

Source: Journal of the ACM. 44:633-668

Subject Terms: 0209 industrial biotechnology, Computing methodologies and applications, distributed protocols, 0202 electrical engineering, electronic engineering, information engineering, robot motion planning, 02 engineering and technology, Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.), uncertainty

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Acm SIG Reference Guide.

Source: Communications of the ACM; Dec1982, Vol. 25 Issue 12, p964-965, 2p

Subject Terms: LISTS, ASSOCIATIONS, institutions, etc., COMMITTEES, ARTIFICIAL intelligence, ELECTRONIC data processing, COMPUTER architecture

Company/Entity: ASSOCIATION for Computing Machinery

COGNITIVE COMPUTING IN EDUCATION.

Authors: Coccoli, Mauro Maresca, Paolo Stanganelli, Lidia

Source: Journal of E-Learning & Knowledge Society; 2016, Vol. 12 Issue 2, p55-69, 15p

Subject Terms: MACHINE learning, ARTIFICIAL intelligence

Performance Modeling of Load Balancing Techniques in Cloud: Some of the Recent Competitive Swarm Artificial Intelligence-based.

Authors: Bhargavi, K Sathish Babu, B Pitt, Jeremy

Source: Journal of Intelligent Systems; Jan2021, Vol. 30 Issue 1, p40-58, 19p

Subject Terms: SWARM intelligence, ANT algorithms, PARTICLE swarm optimization, ARTIFICIAL intelligence, TIME management, ALGORITHMS, FAULT-tolerant computing

I T H E A ® 125 APPLICATION OF ARTIFICIAL INTELLIGENCE TOOLS TO THE CLASSIFICATION OF STRUCTURAL MODULES

Authors: Galina Setlak Tomasz Kożak The Pennsylvania State University CiteSeerX Archives

Contributors: Galina Setlak Tomasz Kożak The Pennsylvania State University CiteSeerX Archives

Source: http://www.foibg.com/ibs_isc/ibs-20/ibs-20-p14.pdf.

Subject Terms: Artificial intelligence, group technology formatting rules, fuzzy logic, classification method. ACM Classification Keywords, I. Computing Methodologies, I.2 Artificial Intelligence, J. Computer Applications

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Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.386.6080

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.386.6080
http://www.foibg.com/ibs_isc/ibs-20/ibs-20-p14.pdf

Quantum Artificial Intelligence: Some Strategies and Perspectives.

Authors: Baioletti, Marco Fagiolo, Fabrizio Loglisci, Corrado et al.

Source: AI; Aug2025, Vol. 6 Issue 8, p175, 23p

Subject Terms: QUANTUM computing, ARTIFICIAL intelligence, MACHINE learning, NONLINEAR systems, COMPUTATIONAL complexity, MATHEMATICAL optimization

Edge Computing with Artificial Intelligence: A Machine Learning Perspective.

Authors: HAOCHEN HUA YUTONG LI TONGHE WANG et al.

Source: ACM Computing Surveys; Sep2023, Vol. 55 Issue 9, p1-35, 35p

Subject Terms: ARTIFICIAL intelligence, MACHINE learning, EDGE computing, INTERNET of things

60 No:13 – Intelligent Information and Engineering Systems A NEURAL NETWORKS APPLICATION IN DECISION SUPPORT SYSTEM

Authors: Galina Setlak Wioletta Szajnar Leszek Kobyliński et al.

Contributors: Galina Setlak Wioletta Szajnar Leszek Kobyliński et al.

Source: http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p08.pdf.

Subject Terms: artificial intelligence, neural networks, classification, decision support ACM Classification Keywords, I. Computing Methodologies, I.2 Artificial Intelligence

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Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.386.9517

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.386.9517
http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p08.pdf

Optimizing artificial neural network methodologies for enhanced genomic predictions: a case study with oil palm (Elaeis guineensis) data

Authors: Cros, David Rouan, Lauriane Navratil, Daphné et al.

Contributors: Cros, David Rouan, Lauriane Navratil, Daphné et al.

Source: https://hal.science/hal-04870545 ; 2025.

Subject Terms: Genomic prediction, artificial intelligence, deep learning, artificial neural networks, oil palm, ACM: I.: Computing Methodologies, [SDV.BV.AP]Life Sciences [q-bio]/Vegetal Biology/Plant breeding, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], [SDV.GEN.GPL]Life Sciences [q-bio]/Genetics/Plants genetics, [STAT.ME]Statistics [stat]/Methodology [stat.ME], [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]

Relation: https://doi.org/10.18167/DVN1/7ZC8YN

Availability: https://hal.science/hal-04870545
https://hal.science/hal-04870545v1/document
https://hal.science/hal-04870545v1/file/Cros%20et%20al%202025_submitted.pdf

Designing Implementation End Server Development Using a Novice Programming Methodologies.

Authors: Ranjith, G. Reddy, A. Brammananda

Source: International Journal of Advanced Research in Computer Science; Mar/Apr2017, Vol. 8 Issue 3, p343-345, 3p

Subject Terms: ARTIFICIAL intelligence, SOURCE code, COMPUTER programming, PROGRAMMING language semantics, REAL-time computing

Alife: A Multiagent Computing Paradigm for Constraint Satisfaction Problems.

Authors: Liu, Jiming Jing, Han

Source: International Journal of Pattern Recognition & Artificial Intelligence; May2001, Vol. 15 Issue 3, p475, 17p

Subject Terms: ARTIFICIAL life, DISTRIBUTED artificial intelligence

A LATTICE-BASED APPROACH TO THE PROBLEM OF RECRUITMENT IN MULTIAGENT SYSTEMS.

Authors: Amigoni, Francesco Continanza, Luca

Source: Computational Intelligence; Feb2013, Vol. 29 Issue 1, p156-186, 31p, 5 Diagrams, 1 Chart, 5 Graphs

Subject Terms: MULTIAGENT systems, ARTIFICIAL intelligence, DISTRIBUTED computing, ALGORITHMS, PROBLEM solving, LATTICE theory

A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization.

Authors: YANDI LI HAOBO GAO YUNXUAN GAO et al.

Source: ACM Transactions on Knowledge Discovery from Data; Nov2023, Vol. 17 Issue 9, p1-50, 50p

Subject Terms: COMBINATORIAL optimization, REINFORCEMENT learning, DEEP reinforcement learning, APPROXIMATION algorithms, SOCIAL computing, ARTIFICIAL intelligence, ONLINE social networks