PPT-First Order Logic

This Lecture Last time we talked about propositional logic a logic on simple statements This time we will talk about first order logic a logic on quantified statements First order logic is much more expressive than propositional logic. Please do not alter or modify contents All rights reserved 1FQMFXIFFMMZVDDFGVMJNQMFNFUJHUIJLJMM hy does my child always have an attitude Shes often disruptive disrespectful or picking on other children Shes always the one with a chip on her shoulder Please do not alter or modify contents All rights reserved For more information call 8003384065 or visit wwwloveandlogiccom Love and Logic Institute Inc is located at 2207 Jackson Street Golden CO 80401 57513 1998 Jim Fay 57375e Delayed or Anticipat Probability Conditional Probability Mean Median Mo de and Standard Deviation Random Variables Distributions uniform normal exponential Poisson Binomial Set Theory Algebra Sets Relations Functions Groups Partial Orders Lattice Boolean Algebra Comb Please do not alter or modify contents All rights reserved QVSIBTFE 1BJOMTT1BSOUJOHSUI1STDIMBST BDLTPU PMEF XXXMPWF E MPHDDPN 57513 2001 Jim Fay End the Bedtime Blues Parents Dont Need to Force Kids to Go to Sleep edtime is a time of frustration Intelligence programming and . Prolog Language Tutorial. Contents. What is logic programming?. Small Examples. The Basics. Another Example: Towers of Hanoi. Other Examples. What is Logic Programming?. Lecture 18. Announcements. HW 6 up on webpage, due on Thursday, 11/6. Agenda. MSI Components. Binary Adders and . Subtracters. (5.1, 5.1.1). Carry . Lookahead. Adders (5.1.2, 5.1.3). Decimal Adders (5.2). Onramps . Table of Contents. W. Welcome Aboard! Who’s Here?. Destination: Where . A. re . W. e . G. oing?. GPS Navigation: How Do We Engage our City Contextually?. 4. Major Boulevards: What . P. Use . WalkSAT. Use min-Conflict heuristic. Similar to hill climbing and simulated annealing. Pick unsatisfied clause then pick a symbol to flip to satisfy the clause by. Use Min Conflict. Or Random. Downside. FOL is very expressive, but.... consider how to translate these:. "most students graduate in 4 years". x student(x) → duration(undergrad)years(4) ???. "only a few students switch majors". s,m1,m2,t1,t2 student(s)^major(s,m1,t1)major(s,m2,t2) m1m2. Assertions;. t/f. Epistemological. commitment. Ontological. commitment. t/f/u. Deg. belief. facts. Facts. Objects. relations. Prop. logic. Prob. prop. logic. FOPC. Prob. FOPC. Atomic. PropositionalRelationalFirst order. 1. AGENTS THAT REASON LOGICALLY. 2. Knowledge-based agents. Knowledge-based agents are able to accept new tasks in the form of explicitly described goals; they can achieve competence quickly by being told or learning new knowledge about the environment; and they can adapt to changes in the environment by updating the relevant knowledge. . Fehringer. Seminar: Probabilistic Models for Information Extraction. by Dr. Martin . Theobald. and Maximilian . Dylla. . Based on Richards, M., and . Domingos. , P. (2006). Markov Logic Networks. 1. Properties of Propositional Logic. Pros. Compositional. Declarative. Cons. Limited expressive power. Represents facts. First Order Logic. Used to represent. Objects – Martin the cat. Relations – Martin and Moses are brothers. – 1.5. Chapter 1 (Logic). . Propositions and logical operations (1.1). Evaluating compound propositions (1.2). Conditional statements (1.3). Logical equivalence (1.4). Laws of propositional logic (1.5).