paper-with-me

Papers

Satisfiability and Synthesis Modulo Oracles

2021-07-28 · Elizabeth Polgreen, Andrew Reynolds, Sanjit A. Seshia

In classic program synthesis algorithms, such as counterexample-guided inductive synthesis (CEGIS), the algorithms alternate between a synthesis phase and an oracle (verification) phase. Many synthesis algorithms use a white-box oracle based on satisfiability modulo theory (SMT) solvers to provide counterexamples. But what if a white-box oracle is either not available or not easy to work with? We present a framework for solving a general class of oracle-guided synthesis problems which we term synthesis modulo oracles. In this setting, oracles may be black boxes with a query-response interface defined by the synthesis problem. As a necessary component of this framework, we also formalize the problem of satisfiability modulo theories and oracles, and present an algorithm for solving this problem. We implement a prototype solver for satisfiability and synthesis modulo oracles and demonstrate that, by using oracles that execute functions not easily modeled in SMT-constraints, such as recursive functions or oracles that incorporate compilation and execution of code, SMTO and SyMO are able to solve problems beyond the abilities of standard SMT and synthesis solvers.

📄 PDF Abstract BibTeX arXiv:2107.13477

Code (0)

등록된 구현이 없습니다.

Tasks

Program Synthesis

Similar Papers 제목 키워드 기반

Structured Learning Modulo Theories

2014-05-07 · Stefano Teso, Roberto Sebastiani, Andrea Passerini

Modelling problems containing a mixture of Boolean and numerical variables is a long-standing interest of Artificial Intelligence. However, performing inference and learning in hybrid domains is a particularly daunting t…

Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration With Provable Guarantees

2023-09-16 · Jinzhao Li, Nan Jiang, Yexiang Xue

Satisfiability Modulo Counting (SMC) encompasses problems that require both symbolic decision-making and statistical reasoning. Its general formulation captures many real-world problems at the intersection of symbolic an…

Decision Making

Neurosymbolic Language Reasoning as Satisfiability Modulo Theory

2026-02-20 · Hyunseok Oh, Sam Stern, Youngki Lee, Matthai Philipose arxiv

Natural language understanding requires interleaving textual and logical reasoning, yet large language models often fail to perform such reasoning reliably. Existing neurosymbolic systems combine LLMs with solvers but re…

Natural Language UnderstandingLogical ReasoningProgram Synthesis

Representing Hybrid Automata by Action Language Modulo Theories

2017-07-20 · Joohyung Lee, Nikhil Loney, Yunsong Meng

Both hybrid automata and action languages are formalisms for describing the evolution of dynamic systems. This paper establishes a formal relationship between them. We show how to succinctly represent hybrid automata in …

Translation

Grammatical Inference as a Satisfiability Modulo Theories Problem

2017-05-30 · Rick Smetsers

The problem of learning a minimal consistent model from a set of labeled sequences of symbols is addressed from a satisfiability modulo theories perspective. We present two encodings for deterministic finite automata and…