Proceedings 38th International Conference on Logic Programming

ICLP is the premier international event for presenting research in logic programming. Contributions to ICLP 2022 were sought in all areas of logic programming, including but not limited to: Foundations: Semantics, Formalisms, Nonmonotonic reasoning, Knowledge representation. Languages issues: Concur...

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Published in:arXiv.org
Main Authors: Lierler, Yuliya, Morales, Jose F, Dodaro, Carmine, Dahl, Veronica, Gebser, Martin, Tekle, Tuncay
Format: Paper
Language:English
Published: Ithaca Cornell University Library, arXiv.org 04.08.2022
Subjects:
Agents (artificial intelligence)
Artificial intelligence
Big Data
Cybersecurity
Data integration
Declarative programming
Distributed memory
Domain specific languages
Knowledge representation
Logic programming
Machine learning
Mathematical programming
Memory management
Natural language processing
Robotics
Semantics
Software engineering
User interfaces
Virtual environments
Virtual memory systems
ISSN:2331-8422
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Abstract ICLP is the premier international event for presenting research in logic programming. Contributions to ICLP 2022 were sought in all areas of logic programming, including but not limited to: Foundations: Semantics, Formalisms, Nonmonotonic reasoning, Knowledge representation. Languages issues: Concurrency, Objects, Coordination, Mobility, Higher order, Types, Modes, Assertions, Modules, Meta-programming, Logic-based domain-specific languages, Programming techniques. Programming support: Program analysis, Transformation, Validation, Verification, Debugging, Profiling, Testing, Execution visualization. Implementation: Compilation, Virtual machines, Memory management, Parallel and Distributed execution, Constraint handling rules, Tabling, Foreign interfaces, User interfaces. Related Paradigms and Synergies: Inductive and coinductive logic programming, Constraint logic programming, Answer set programming, Interaction with SAT, SMT and CSP solvers, Theorem proving, Argumentation, Probabilistic programming, Machine learning. Applications: Databases, Big data, Data integration and federation, Software engineering, Natural language processing, Web and semantic web, Agents, Artificial intelligence, Computational life sciences, Cyber-security, Robotics, Education.
AbstractList ICLP is the premier international event for presenting research in logic programming. Contributions to ICLP 2022 were sought in all areas of logic programming, including but not limited to: Foundations: Semantics, Formalisms, Nonmonotonic reasoning, Knowledge representation. Languages issues: Concurrency, Objects, Coordination, Mobility, Higher order, Types, Modes, Assertions, Modules, Meta-programming, Logic-based domain-specific languages, Programming techniques. Programming support: Program analysis, Transformation, Validation, Verification, Debugging, Profiling, Testing, Execution visualization. Implementation: Compilation, Virtual machines, Memory management, Parallel and Distributed execution, Constraint handling rules, Tabling, Foreign interfaces, User interfaces. Related Paradigms and Synergies: Inductive and coinductive logic programming, Constraint logic programming, Answer set programming, Interaction with SAT, SMT and CSP solvers, Theorem proving, Argumentation, Probabilistic programming, Machine learning. Applications: Databases, Big data, Data integration and federation, Software engineering, Natural language processing, Web and semantic web, Agents, Artificial intelligence, Computational life sciences, Cyber-security, Robotics, Education.
Author Lierler, Yuliya
Tekle, Tuncay
Morales, Jose F
Gebser, Martin
Dodaro, Carmine
Dahl, Veronica
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SubjectTerms Agents (artificial intelligence)
Artificial intelligence
Big Data
Cybersecurity
Data integration
Declarative programming
Distributed memory
Domain specific languages
Knowledge representation
Logic programming
Machine learning
Mathematical programming
Memory management
Natural language processing
Robotics
Semantics
Software engineering
User interfaces
Virtual environments
Virtual memory systems
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