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Only-Knowing - Department of Computer Science
Only-Knowing - Department of Computer Science

... of DL in terms of an underlying model of belief, but also the relationship among these three different forms of nonmonotonic reasoning, all within a classical monotonic logic characterized semantically in terms of possible worlds. This is not the first time AEL and DL have been compared in a modal s ...
Prof - University of Alberta
Prof - University of Alberta

... Archimedean continua – the point-based system, SP, and the stretch-based system, SI – for the following reasons: 1. It enables us to formulate all the axioms of each system in one and the same language; 2. It makes it possible to apply, without any modification, Arsenijević's two sets of rules for t ...
Chapter 1: Introduction to Expert Systems
Chapter 1: Introduction to Expert Systems

... • Defines a set of algebraic expressions to manipulate those symbols. • Using axioms, theorems can be constructed. ...
Chapter 7 - CSUDH Computer Science
Chapter 7 - CSUDH Computer Science

... – for ( = ; []; ) do statements – varies from the initial value to the termination, each loop varies with a stepwise – Step can be omitted, default value is 1 ...
Introduction to ASIC Design
Introduction to ASIC Design

... buffer storage etc.) As control to routing and configuration switches ...
CIS 730 (Introduction to Artificial Intelligence) Lecture
CIS 730 (Introduction to Artificial Intelligence) Lecture

... – Knowledge Bases (KB) and KB agents – Motivating example: Wumpus World – Syntax of propositional calculus – Elements of logic in general • Syntax: What constitutes legitimate sentences aka well-formed formulae? • Semantics: What constitutes logical entailment? • Proof theory: What constitutes prova ...
Planning with Different Forms of Domain
Planning with Different Forms of Domain

... a means of representing and reasoning with this knowledge. In the past, planners such as TLPlan and TALplan have exploited domain-dependent temporal knowledge; SHOP and various hierarchical task network (HTN) planners have exploited domain-dependent hierarchical and partial-order knowledge; and sati ...
Rule-Based Classifiers
Rule-Based Classifiers

... this applicant gets a loan. From this you should understand why phrases such as forwards-chaining, bottom-up reasoning and data-driven reasoning are used. 3.2.2 Backwards-chaining The second method we look at goes by the names backwards-chaining, top-down reasoning, goal-driven reasoning and hypothe ...
Lecture Slides
Lecture Slides

... • Violating the above policies is PLAGIARISM (cheating). • Cheating will typically result in automatic failure of this course and possible expulsion from the CS program. • It is much better to leave a problem blank than to cheat! – Usually ~60% is a B and ~80% is an A. – However, cheating earns you ...
6.034 Artificial Intelligence by T. Lozano
6.034 Artificial Intelligence by T. Lozano

... Another way to look at the process we have just gone through is as a form of tree search. In this search space, the states are goals, that is, the literals that appear on our stack. The edges (shown with a green dot in the middle of each edge) are the rules or facts. However, there is one complicati ...
Lecture slides
Lecture slides

... compatible with OCaml, so don’t use it for homework) – Warning: OCaml has a STEEP learning curve! – Pre-homework: Install OCaml • Go to the course website and follow the instructions entitled “To Prepare for the Course…” by next time ...
The cognitive and the social - Christophe Heintz
The cognitive and the social - Christophe Heintz

... reasoning while at the same time being conscious about the problem of psychologism, so I think he is a good representative of the theories that I intend to criticise. In “A Border dispute” (1986) Macnamara called for a research program based on the idea that the mind contains some innate devices fro ...
ppt
ppt

... • Edinburgh syntax is the basis of ISO standard. • High-level interactive language. • Logic programming language. – Based on Horn Clauses • (parent(X,Z)∧ancestor(Z,Y)) ⊃ ancestor(X,Y) ...
The Commutative/Noncommutative Linear Logic BV
The Commutative/Noncommutative Linear Logic BV

... In practice, however, the more liberal proof composition mechanism of deep inference completely invalidates the techniques (and the intuition) behind cut elimination procedures in Gentzen systems. Much of the effort of these 15 years of research on deep inference went into recovering a normalisation ...
Search and forward chaining
Search and forward chaining

... Our goal is to prove that KB entails a fact, a • We use logical inference  Forward chaining  Backward chaining  Resolution ...
Graph Logic Model Framework for Predictive Linguistic Analysis
Graph Logic Model Framework for Predictive Linguistic Analysis

... condition – either one adjacent link is activated or another, while probabilities – kind of “weights” - are used to “normalize” the chances of choosing one particular link (sum of probabilities to come out from a node equals 1, note that for incoming this condition does not stand). To complete corre ...
Lecture 3
Lecture 3

... – Logic 0 can be: false, off, low, no, open switch. – Logic 1 can be: true, on, high, yes, closed switch. ...
Extending Logic Programs with Description Logic Expressions for
Extending Logic Programs with Description Logic Expressions for

... them in the same way as other predicate symbols in P. To ensure decidability, we require that P and C be finite. Let Ω = P ∩ (A ∪ R) denote the predicate symbols shared by Π and L. Definition 1. Let L be a DL knowledge base. A logic program Π with DL expressions relative to L consists of a finite se ...
PowerPoint - University of Virginia
PowerPoint - University of Virginia

... Our goal is to prove that KB entails a fact, a • We use logical inference  Forward chaining  Backward chaining  Resolution ...
KNOWLEDGE REPRESENTATION AND REASONING 1
KNOWLEDGE REPRESENTATION AND REASONING 1

... ¯ derivability A sentence a is derivable from a set of sentences S (written ~- or) iff there is a sequenceof sentencesal ..... otn whereotn is t~, such that each t~i either is an elementof S, or a logical axiom, or follows from earlier aj’s by a rule of inference. A sentenceis a theoremif it is deri ...
A Probabilistic Extension of the Stable Model
A Probabilistic Extension of the Stable Model

... knowledge representation. The language is also a generalization of ProbLog, and is closely related to Markov Logic Networks, which implies that the computation can be carried out by the techniques developed for them. LPMLN appears to be a natural language for probabilistic answer set programming, an ...
CS 561: Artificial Intelligence CS 561: Artificial Intelligence
CS 561: Artificial Intelligence CS 561: Artificial Intelligence

... phenomenal, study and formalize common sense facts about the world and the problems that the world presents to the achievement of goals. ...
An Abstract View on Modularity in Knowledge Representation
An Abstract View on Modularity in Knowledge Representation

... Modularity is crucial in design, analysis and reasoning about complex systems. It has long been recognized as one of the key techniques in software development. Modularity has also played an important role in artificial intelligence and, in particular, in knowledge representation and reasoning. Form ...
PDF - 1.4 MB - Massachusetts Institute of Technology
PDF - 1.4 MB - Massachusetts Institute of Technology

... 6.034 Artificial Intelligence. Copyright © 2004 by Massachusetts Institute of Technology. Slide 11.1.7 Note that not every logical statement can be written in Horn clause form, especially if we disallow clauses with zero positive literals (consistency constraints). Importantly, one cannot have a ne ...
FPGAIntro
FPGAIntro

...  Xilinx XACT - design editor to view final mapping results ...
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Logic programming

Logic programming is a programming paradigm based on formal logic. A program written in a logic programming language is a set of sentences in logical form, expressing facts and rules about some problem domain. Major logic programming language families include Prolog, Answer set programming (ASP) and Datalog. In all of these languages, rules are written in the form of clauses:H :- B1, …, Bn.and are read declaratively as logical implications:H if B1 and … and Bn.H is called the head of the rule and B1, …, Bn is called the body. Facts are rules that have no body, and are written in the simplified form:H.In the simplest case in which H, B1, …, Bn are all atomic formulae, these clauses are called definite clauses or Horn clauses. However, there exist many extensions of this simple case, the most important one being the case in which conditions in the body of a clause can also be negations of atomic formulae. Logic programming languages that include this extension have the knowledge representation capabilities of a non-monotonic logic.In ASP and Datalog, logic programs have only a declarative reading, and their execution is performed by means of a proof procedure or model generator whose behaviour is not meant to be under the control of the programmer. However, in the Prolog family of languages, logic programs also have a procedural interpretation as goal-reduction procedures:to solve H, solve B1, and ... and solve Bn.Consider, for example, the following clause:fallible(X) :- human(X).based on an example used by Terry Winograd to illustrate the programming language Planner. As a clause in a logic program, it can be used both as a procedure to test whether X is fallible by testing whether X is human, and as a procedure to find an X that is fallible by finding an X that is human. Even facts have a procedural interpretation. For example, the clause:human(socrates).can be used both as a procedure to show that socrates is human, and as a procedure to find an X that is human by ""assigning"" socrates to X.The declarative reading of logic programs can be used by a programmer to verify their correctness. Moreover, logic-based program transformation techniques can also be used to transform logic programs into logically equivalent programs that are more efficient. In the Prolog family of logic programming languages, the programmer can also use the known problem-solving behaviour of the execution mechanism to improve the efficiency of programs.
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