Auto-Walksat (based on Walksat-SKC) The first step (preprocessing) ... Golden Section Search; Parabolic interpolation; The second step: Adjust n and run walksat-SKC; ...
WalkSat based, with 50% p. Features: T-F Stat Initial model, QuickCheck ... Reduces the Japanese SoDuko number puzzle into CNF formulas, every puzzle has a solution. ...
Logical Inference: Through Proof to Truth CHAPTERS 7, 8 Oliver Schulte * * * Demo using tarki s world. Take the entailment A & B = A or B. * * Can rewrite as A ...
Empirical investigations of local search on random KSAT for K = 3,4,5,6... CDInfos0803 Program Kavli Institute for Theoretical Physics China Erik Aurell
1. BLACKBOX: A New Approach to the Application of Theorem Proving to ... compare with Medic (Weld 1997), which translated STRIPS CNF directly. Act1. Act2. Fact ...
QingTing: A Fast SAT Solver Using Local Search and Efficient Unit Propagation. Xiao Yu Li Matthias F. Stallmann Franc Brglez. http://pluto.cbl.ncsu/EDS/QingTing ...
Generally believed to have complementary strengths. Would like to harness ... MiniMaxSat [Heras et al. '07], Msuf [Marques-Silva et al.'08], MaxSatz [Li et al. ...
Satifiability (SAT): Given a formula in propositional calculus, is there a model ... No color is repeated in the same row (sets of negative binary clauses) ...
Some s are taken from presentations by Kautz and Selman. Please visit ... Replaces: drive(truck1 LA SF 5) With: (drive-arg1(truck1 5) ^ drive-arg2(LA 5) ...
Title: Logical Agents Subject: SJTU Author: Liqing Zhang Last modified by: Zhang at SJTU Created Date: 12/17/2003 7:08:22 AM Document presentation format
... Giants won' and 'the Reds won' entails 'Either the Giants won or the Reds won' ... E.g. KB = Giants won and Reds. won a = Giants won. 10/4/09. VeCoS ITU. 22 ...
CS 2710, ISSP 2160 The Situation Calculus KR and Planning Some final topics in KR * The DPLL algorithm Determine if an input propositional logic sentence (in CNF) is ...
Scalable Knowledge Representation and Reasoning Systems Henry Kautz AT&T Shannon Laboratories Introduction In recent years, we've seen substantial progress in scaling ...
Title: Lecture 7: Game-Playing and Search Author: Padhraic Smyth Last modified by: juan masa Created Date: 1/6/1998 2:36:47 PM Document presentation format
Small crossword grid medium-sized dictionary may turn into a big formula ... across solver types. systematic (last lecture) stochastic (this lecture) ...
A disjunctive formula is a collection of one or more (positive and negative) ... eliminates in one shot all that can be eliminated and returns a smaller formula. ...
Classify Problems According to Computational Requirements Q. Which problems will we be able to solve in practice? A working definition. [Cobham 1964, Edmonds 1965 ...
Title: Solving Problems by Searching Author: Gerhard Wickler Last modified by: Gerhard Wickler Created Date: 2/12/2003 5:21:32 PM Document presentation format
DeltaGain(v) returns the increase in weights(sat. clauses) // caused by flipping v ... Focus on function free finite FOL. Propositionalize the first order KB ...
Both the AI and CADE/CAV communities have long been concerned with reasoning ... 'Classic' work in AI has concentrated on STRIPS style planning ('state space' ...
Logical connectives that allow a. Compositional Semantics ... Quantifier duality: each can be expressed using the other. x Likes(x,IceCream) x Likesx,IceCream) ...
... 5582 Fall 2006. Knowledge ... CSCI 5582 Fall 2006. Propositional Logic. Atomic Propositions. That ... CSCI 5582 Fall 2006. Modeling Wumpus World. Long term ...
Planning as Logic: Why logic? Flexible language Range of expressive power/tractability Clear semantics and syntax Good solution processes Mature (older than computer ...
graph-coloring, 8-queen, cryptarithmetic, crossword puzzles, vision problems,scheduling, design ... Sudoku. Each row, column and major block must be alldifferent ' ...
Implicative Normal Form CPL (INFCPL) Horn CPL (HCPL) Semantics. Cognitive and Herbrand interpretations, ... f valid (or tautology) iff true in all Hi(f), ex, a ...
Introduction to AI; Planning & Search CSE 592 Applications of Artificial Intelligence Henry Kautz Winter 2003 What is Intelligence? What is Artificial Intelligence?
Introduction to AI; Planning & Search CSE 592 Applications of Artificial Intelligence Henry Kautz Winter 2003 What is Intelligence? What is Artificial Intelligence?
Given an N X N matrix, and given N colors, a quasigroup of order N is a a ... (Berge 70, Regin 94, Shaw and Walsh 98 ) Carla P. Gomes. School on Optimization. CPAIOR02 ...
Title: Market Games for Mining Customer Information Author: David Pennock Last modified by: yahoo yahoo Created Date: 12/7/2001 4:12:02 PM Document presentation format
Pros and Cons of Propositional Logic. Propositional logic ... Tom is a tortoise. Hares outrun tortoises. Harry outruns Tom? CSCI 5582 Fall 2006. Tom and Harry ...
Artificial Intelligence: Agents and Propositional Logic. Propositional Logic Propositional Logic Propositional Logic Wumpus world logic Wumpus world logic Truth ...
Glitter iff gold is in the same square. Shooting kills wumpus if you are facing it ... add its conclusion to the KB, until query is found. Forward chaining algorithm ...
Satisfiability and Unsatisfiability: Proof Complexity and Algorithms Paul Beame University of Washington Outline Intro to proof complexity Proof complexity and ...
Title: 573 lecture 21 - planning continued Author: Henry Kautz Last modified by: Henry Kautz Created Date: 6/5/1997 6:05:21 PM Document presentation format
Guitar. 5. Constraints for a single chord. The guitarist uses only four fingers ... Guitar. Constraints for two successive chords ... Guitar. Chords from Mikha l Malt ...
Markov Logic Networks Pedro Domingos Dept. Computer Science & Eng. University of Washington (Joint work with Matt Richardson) Overview Representation Inference ...
Learning: ILP Pseudo-likelihood. Special cases: Collective classification, ... Maximize pseudo-likelihood using conjugate gradient with line minimization. Overview ...