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检索条件"任意字段=12th International Conference on Inductive Logic Programming"

共 368 条记录，以下是1-10 订阅

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What Is Decidable in Separation logic Beyond Progress, Connectivity and Establishment? 12th

What Is Decidable in Separation Logic Beyond Progress, Conne...

引用

12th international Joint conference on Automated Reasoning (IJCAR)

作者： Bozec, Tanguy Peltier, Nicolas Petitjean, Quentin Sighireanu, Mihaela Univ Grenoble Alpes LIG CNRS F-38000 Grenoble France Univ Paris Saclay Lab Methodes Formelles ENS Paris Saclay CNRS F-91190 Gif Sur Yvette France

ISBN: (纸本)9783031635007;9783031635014

the predicate definitions in Separation logic (SL) play an important role: they capture a large spectrum of unbounded heap shapes due to their inductiveness. this expressiveness power comes with a limitation: the entailment problem is undecidable if predicates have general inductive definitions (ID). Iosif et al. [8] proposed syntactic and semantic conditions, called PCE, on the ID of predicates to ensure the decidability of the entailment problem. We provide a (possibly nonterminating) algorithm to transform arbitrary ID into equivalent PCE definitions when possible. We show that the existence of an equivalent PCE definition for a given ID is undecidable, but we identify necessary conditions that are decidable. the algorithm has been implemented, and experimental results are reported on a benchmark, including significant examples from SL-COMP.

关键词： Separation logic inductive definitions Bounded treewidth fragment PCE fragment Symbolic heaps Decision procedures

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Learning logic Programs through Divide, Constrain, and Conquer 36

Learning Logic Programs Through Divide, Constrain, and Conqu...

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36th AAAI conference on Artificial Intelligence / 34th conference on Innovative Applications of Artificial Intelligence / 12th Symposium on Educational Advances in Artificial Intelligence

作者： Cropper, Andrew Univ Oxford Oxford England

ISBN: (纸本)9781577358763

We introduce an inductive logic programming approach that combines classical divide-and-conquer search with modern constraint-driven search. Our anytime approach can learn optimal, recursive, and large programs and supports predicate invention. Our experiments on three domains (classification, inductive general game playing, and program synthesis) show that our approach can increase predictive accuracies and reduce learning times.

关键词： Computer circuits

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METAGPT: META programming FOR A MULTI-AGENT COLLABORATIVE FRAMEWORK 12

METAGPT: META PROGRAMMING FOR A MULTI-AGENT COLLABORATIVE FR...

引用

12th international conference on Learning Representations, ICLR 2024

作者： Hong, Sirui Zhuge, Mingchen Chen, Jonathan Zheng, Xiawu Cheng, Yuheng Zhang, Ceyao Wang, Jinlin Wang, Zili Yau, Steven Ka Shing Lin, Zijuan Zhou, Liyang Ran, Chenyu Xiao, Lingfeng Wu, Chenglin Schmidhuber, Jürgen DeepWisdom AI Initiative King Abdullah University of Science and Technology Saudi Arabia Xiamen University China The Chinese University of Hong Kong Shenzhen China Nanjing University China University of Pennsylvania United States University of California Berkeley United States The Swiss AI Lab IDSIA USI SUPSI Switzerland

Remarkable progress has been made on automated problem solving through societies of agents based on large language models (LLMs). Existing LLM-based multi-agent systems can already solve simple dialogue tasks. Solutions to more complex tasks, however, are complicated through logic inconsistencies due to cascading hallucinations caused by naively chaining LLMs. Here we introduce MetaGPT, an innovative meta-programming framework incorporating efficient human workflows into LLM-based multi-agent collaborations. MetaGPT encodes Standardized Operating Procedures (SOPs) into prompt sequences for more streamlined workflows, thus allowing agents with human-like domain expertise to verify intermediate results and reduce errors. MetaGPT utilizes an assembly line paradigm to assign diverse roles to various agents, efficiently breaking down complex tasks into subtasks involving many agents working together. On collaborative software engineering benchmarks, MetaGPT generates more coherent solutions than previous chat-based multi-agent systems. Our project can be found at https://***/geekan/MetaGPT. © 2024 12th international conference on Learning Representations, ICLR 2024. All rights reserved.

关键词： Multi agent systems

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Neuro-Symbolic inductive logic programming with logical Neural Networks 36

Neuro-Symbolic Inductive Logic Programming with Logical Neur...

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36th AAAI conference on Artificial Intelligence / 34th conference on Innovative Applications of Artificial Intelligence / 12th Symposium on Educational Advances in Artificial Intelligence

作者： Sen, Prithviraj de Carvalho, Breno W. S. R. Riegel, Ryan Gray, Alexander IBM Res Armonk NY 10504 USA

ISBN: (纸本)9781577358763

Recent work on neuro-symbolic inductive logic programming has led to promising approaches that can learn explanatory rules from noisy, real-world data. While some proposals approximate logical operators with differentiable operators from fuzzy or real-valued logic that are parameter-free thus diminishing their capacity to fit the data, other approaches are only loosely based on logic making it difficult to interpret the learned "rules". In this paper, we propose learning rules with the recently proposed logical neural networks (LNN). Compared to others, LNNs offer a strong connection to classical Boolean logic thus allowing for precise interpretation of learned rules while harboring parameters that can be trained with gradient-based optimization to effectively fit the data. We extend LNNs to induce rules in first-order logic. Our experiments on standard benchmarking tasks confirm that LNN rules are highly interpretable and can achieve comparable or higher accuracy due to their flexible parameterization.

关键词： Computer circuits

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12th international Symposium on Leveraging Applications of Formal Methods, Verification and Validation, ISoLA 2024

12th International Symposium on Leveraging Applications of F...

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12th international Symposium on Leveraging Applications of Formal Methods, Verification and Validation, ISoLA 2024

ISBN: (纸本)9783031753794

the proceedings contain 25 papers. the special focus in this conference is on Leveraging Applications of Formal Methods, Verification and Validation. the topics include: Klaim in the Making;formal Approaches for Modeling and Analysis of Business Process Collaborations;an Abstract Account of Up-to Techniques for inductive Behavioural Relations;language Equivalence from Nondeterministic to Weighted Automata—and Back;a Process Algebraic View of In/Out Prisoners;towards a Formal Testing theory for Quantum Processes;testing Quantum Processes;the ProbInG Project: Advancing Automatic Analysis of Probabilistic Loops;towards a Probabilistic programming Approach to Analyse Collective Adaptive Systems;Can AI Help with the Formalization of Railway Cybersecurity Requirements?;white-Box Validation of Collective Adaptive Systems by Statistical Model Checking and Process Mining;analysing Collective Adaptive Systems by Proving theorems;engineering Ethical-Aware Collective Adaptive Systems;emerging Synchrony in Applauding Audiences: Formal Analysis and Specification;flocks of Birds: A Quantitative Evaluation;strategies in Spatio-Temporal logics for Multi-agent Systems;function-as-a-Service Allocation Policies Made Formal;asynchronous Multiparty Sessions with Internal Delegation: Dedicated to Rocco De Nicola on the Occasion of his 70th Birthday;code-Centric Code Generation;attack Tree Generation via Process Mining;local Spaces in Soft Concurrent Constraint programming Oriented to Security;Riding the Data Storms: Specifying and Analysing IoT Security Requirements with SURFING;preventing Out-of-Gas Exceptions by Typing.

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Synthesizing Strongly Equivalent logic Programs: Beth Definability for Answer Set Programs via Craig Interpolation in First-Order logic 1

引用

12th international Joint conference on Automated Reasoning (IJCAR)

作者： Heuer, Jan Wernhard, Christoph Univ Potsdam Potsdam Germany

ISBN: (数字)9783031634987

ISBN: (纸本)9783031634970;9783031634987

We show a projective Beth definability theorem for logic programs under the stable model semantics: For given programs P and Q and vocabulary V (set of predicates) the existence of a program R in V such that P. R and P. Q are strongly equivalent can be expressed as a first-order entailment. Moreover, our result is effective: A program R can be constructed from a Craig interpolant for this entailment, using a known first-order encoding for testing strong equivalence, which we apply in reverse to extract programs from formulas. As a further perspective, this allows transforming logic programs via transforming their first-order encodings. In a prototypical implementation, the Craig interpolation is performed by first-order provers based on clausal tableaux or resolution calculi. Our work shows how definability and interpolation, which underlie modern logic-based approaches to advanced tasks in knowledge representation, transfer to answer set programming.

关键词： Knowledge representation

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12th international Symposium on Leveraging Applications of Formal Methods, Verification and Validation, ISoLA 2024

12th International Symposium on Leveraging Applications of F...

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12th international Symposium on Leveraging Applications of Formal Methods, Verification and Validation, ISoLA 2024

ISBN: (纸本)9783031753794

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12th international Symposium on Leveraging Applications of Formal Methods, Verification and Validation, ISoLA 2024

12th International Symposium on Leveraging Applications of F...

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12th international Symposium on Leveraging Applications of Formal Methods, Verification and Validation, ISoLA 2024

ISBN: (纸本)9783031737084

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12th international Symposium on Leveraging Applications of Formal Methods, Verification and Validation, ISoLA 2024

12th International Symposium on Leveraging Applications of F...

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12th international Symposium on Leveraging Applications of Formal Methods, Verification and Validation, ISoLA 2024

ISBN: (纸本)9783031751066

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Fuzzy Equivalence Relations for Solving a Multiple Objective Linear programming Problem 1

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Fuzzy logic and Technology, and Aggregation Operators 13th conference of the European Society for Fuzzy logic and Technology, EUSFLAT 2023, and 12th international Summer School on Aggregation Operators, AGOP 2023

作者： Grigorenko, Olga Zemlītis, Mārtiņš Institute of Mathematics and Computer Science University of Latvia Raina bulv. 29 Riga1459 Latvia

ISBN: (数字)9783031399657

ISBN: (纸本)9783031399640

We are developing an approach that is an alternative to the Zimmermann approach to solving a multiple objective linear programming problem. We use fuzzy equivalence relations to solve the problem, where fuzzy sets are used in the Zimmermann approach. We will prove the effectiveness of the new approach, illustrate and compare the use of different approaches with illustrative examples. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Linear programming

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