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.
翻译：在逻辑编程的所有领域,包括但不仅限于:基础:语义、形式主义、非口头推理、知识代表性;语言问题:货币、物体、协调、流动、高级顺序、类型、模式、语言、语言、语言、语言、语言、语言、语言、语言、语言、语言、语言、语言、语言、逻辑、基于逻辑的域别语言、程序设计技术;程序设计支持:方案分析、转变、验证、核查、调试、分析、测试、执行可视化;执行:执行:汇编、虚拟机器、记忆管理、平行和分布式执行、约束性处理规则、标签、外国界面、用户界面、相关参数和协同作用:感化和感化逻辑编程、严格逻辑编程、应答程序、与SAT、SMT和CSP的交互作用、理论验证、论证、论证、概率性编程、机器学习;应用:数据库、大数据、数据整合与联邦、软件、语言处理、网络安全学、网络和地震学。
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