<--- Back to Details
First PageDocument Content
Artificial intelligence / Tests / Standardized tests / Psychometrics / Winograd Schema Challenge / Computational neuroscience / SAT / Cyc / Turing test / Graduate Record Examinations / Commonsense knowledge / Multiple choice
Date: 2016-05-10 13:04:38
Artificial intelligence
Tests
Standardized tests
Psychometrics
Winograd Schema Challenge
Computational neuroscience
SAT
Cyc
Turing test
Graduate Record Examinations
Commonsense knowledge
Multiple choice

Semantic Integration Through Invariants

Add to Reading List

Source URL: ai2-website.s3.amazonaws.com

Download Document from Source Website

File Size: 361,00 KB

Share Document on Facebook

Similar Documents

Logic gates / XNOR gate / Circuit

Optimizing S-box Implementations for Several Criteria using SAT Solvers Ko Stoffelen Goal

DocID: 1xVCk - View Document

Mathematical logic / Type theory / Computability theory / Lambda calculus / Theoretical computer science / Model theory / Higher-order logic / Constructible universe / Mathematics

Bounded Model Generation for Isabelle/HOL Using a SAT Solver Tjark Weber

DocID: 1xVzf - View Document

Logic gates / Theoretical computer science / Boolean satisfiability problem / XOR gate / XNOR gate / AND gate / Data Encryption Standard / OR gate / Block cipher / Mathematical optimization / Circuit

Optimizing S-box Implementations for Several Criteria using SAT Solvers Ko Stoffelen Radboud University, Digital Security, Nijmegen, The Netherlands

DocID: 1xVyX - View Document

Proof assistants / Theoretical computer science / Logic in computer science / Mathematical logic / Isabelle / Logic for Computable Functions / Mathematics / Resolution / Constructible universe / Theorem prover / LCF / Formal methods

Integrating a SAT Solver with an LCF-style Theorem Prover A Fast Decision Procedure for Propositional Logic for the Isabelle System Tjark Weber

DocID: 1xVu1 - View Document

Constructible universe

Integrating a SAT Solver with Isabelle/HOL Tjark Weber (joint work with Alwen Tiu et al.) First Munich-Nancy Workshop on

DocID: 1xUVp - View Document