Lecture2
•Download as PPT, PDF•
1 like•857 views
The document provides an introduction to the CLIPS expert system shell. It discusses CLIPS' components like facts, rules, and the inference engine. It explains how CLIPS uses forward chaining to match facts to rules and fire actions. The objectives are to understand rule-based expert system concepts and apply them using CLIPS.
Report
Share
Report
Share
Recommended
Declarative Semantics Definition - Term Rewriting
This document discusses term rewriting and its applications in compiler construction. It covers term rewriting systems, rewrite rules that transform terms, and rewrite strategies that control rule application. Examples are provided for desugaring code using rewrite rules and constant folding arithmetic expressions using rewrite rules and strategies. Stratego is presented as a domain-specific language for program transformation based on term rewriting.
Compiler Construction | Lecture 8 | Type Constraints
This lecture covers type checking with constraints. It introduces the NaBL2 meta-language for writing type specifications as constraint generators that map a program to constraints. The constraints are then solved to determine if a program is well-typed. NaBL2 supports defining name binding and type structures through scope graphs and constraints over names, types, and scopes. Examples show type checking patterns in NaBL2 including variables, functions, records, and name spaces.
Pure and Declarative Syntax Definition: Paradise Lost and Regained
These are the slides from the presentation of our Onward! 2010 essay "Pure and Declarative Syntax Definition: Paradise Lost and Regained" at SPLASH.
CS4200 2019 | Lecture 5 | Transformation by Term Rewriting
Lecture on program transformation using rewrite rules and strategies for a course on compiler construction at TU Delft
Declare Your Language: Syntactic (Editor) Services
Lecture 3 on compiler construction course on definition of lexical syntax and syntactic services that can be derived from syntax definitions such as formatting and syntactic completion
Term Rewriting
This document discusses term rewriting and provides examples of how rewrite rules can be used to transform terms. Key points include:
- Rewrite rules define pattern matching and substitution to transform terms from a left-hand side to a right-hand side.
- Examples show desugaring language constructs like if-then statements, constant folding arithmetic expressions, and mapping/zipping lists with strategies as parameters to rules.
- Terms can represent programming language syntax and semantics domains. Signatures define the structure of terms.
- Rewriting systems provide a declarative way to define program transformations and semantic definitions through rewrite rules and strategies.
Syntax Definition
The document discusses syntax definition in programming languages. It provides examples of lexical syntax, context-free syntax, abstract syntax trees, disambiguation, and testing syntax definitions using SDF3 and Spoofax. Key topics covered include regular expressions, Backus-Naur Form, Extended Backus-Naur Form, SDF3 syntax, Spoofax architecture for language implementation, and syntax processing tools like parsers, pretty-printers and compilers.
Formal Grammars
The document discusses formal grammars and their applications in language specification and parsing. It introduces key concepts such as formal grammars, derivation, terminal and non-terminal symbols, and different types of grammars including context-sensitive, context-free and regular grammars. It also discusses applications of formal grammars in parsing and how they relate to theoretical computer science concepts like decidability and complexity of the word problem for different grammar types.
Recommended
Declarative Semantics Definition - Term Rewriting
This document discusses term rewriting and its applications in compiler construction. It covers term rewriting systems, rewrite rules that transform terms, and rewrite strategies that control rule application. Examples are provided for desugaring code using rewrite rules and constant folding arithmetic expressions using rewrite rules and strategies. Stratego is presented as a domain-specific language for program transformation based on term rewriting.
Compiler Construction | Lecture 8 | Type Constraints
This lecture covers type checking with constraints. It introduces the NaBL2 meta-language for writing type specifications as constraint generators that map a program to constraints. The constraints are then solved to determine if a program is well-typed. NaBL2 supports defining name binding and type structures through scope graphs and constraints over names, types, and scopes. Examples show type checking patterns in NaBL2 including variables, functions, records, and name spaces.
Pure and Declarative Syntax Definition: Paradise Lost and Regained
These are the slides from the presentation of our Onward! 2010 essay "Pure and Declarative Syntax Definition: Paradise Lost and Regained" at SPLASH.
CS4200 2019 | Lecture 5 | Transformation by Term Rewriting
Lecture on program transformation using rewrite rules and strategies for a course on compiler construction at TU Delft
Declare Your Language: Syntactic (Editor) Services
Lecture 3 on compiler construction course on definition of lexical syntax and syntactic services that can be derived from syntax definitions such as formatting and syntactic completion
Term Rewriting
This document discusses term rewriting and provides examples of how rewrite rules can be used to transform terms. Key points include:
- Rewrite rules define pattern matching and substitution to transform terms from a left-hand side to a right-hand side.
- Examples show desugaring language constructs like if-then statements, constant folding arithmetic expressions, and mapping/zipping lists with strategies as parameters to rules.
- Terms can represent programming language syntax and semantics domains. Signatures define the structure of terms.
- Rewriting systems provide a declarative way to define program transformations and semantic definitions through rewrite rules and strategies.
Syntax Definition
The document discusses syntax definition in programming languages. It provides examples of lexical syntax, context-free syntax, abstract syntax trees, disambiguation, and testing syntax definitions using SDF3 and Spoofax. Key topics covered include regular expressions, Backus-Naur Form, Extended Backus-Naur Form, SDF3 syntax, Spoofax architecture for language implementation, and syntax processing tools like parsers, pretty-printers and compilers.
Formal Grammars
The document discusses formal grammars and their applications in language specification and parsing. It introduces key concepts such as formal grammars, derivation, terminal and non-terminal symbols, and different types of grammars including context-sensitive, context-free and regular grammars. It also discusses applications of formal grammars in parsing and how they relate to theoretical computer science concepts like decidability and complexity of the word problem for different grammar types.
Compiler Construction | Lecture 5 | Transformation by Term Rewriting
Lecture about transformation by term rewriting in Stratego for a course on compiler construction at TU Delft
Syntax Definition
This document discusses syntax definition and provides examples using various syntax definition formalisms including Backus-Naur Form (BNF), Extended Backus-Naur Form (EBNF), and SDF3. It introduces concepts of lexical syntax, context-free syntax, abstract syntax, disambiguation, and testing syntax definitions. Specific examples are provided for defining the syntax of an expression language using BNF, EBNF, and SDF3. Testing syntax definitions using Spoofax is also discussed with examples of test cases for lexical and context-free syntax.
Declare Your Language: Type Checking
This document summarizes and discusses type checking algorithms for programming languages. It introduces constraint-based type checking, which separates type checking into constraint generation and constraint solving. This provides a more declarative way to specify type checkers. The document discusses using variables and constraints to represent types during type checking. It introduces NaBL2, a domain-specific language for writing constraint generators to specify name and type constraints for programming language static semantics. NaBL2 uses scope graphs to represent name binding structures and supports features like type equality, subtyping, and type-dependent name resolution through constraint rules. An example scope graph and constraint rule for let-bindings is provided.
Declarative Syntax Definition - Grammars and Trees
This lecture lays the theoretic foundations for declarative syntax formalisms and syntax-based language processors, which we will discuss later in the course. We introduce the notions of formal languages, formal grammars, and syntax trees, starting from Chomsky's work on formal grammars as generative devices.
We start with a formal model of languages and investigate formal grammars and their derivation relations as finite models of infinite productivity. We further discuss several classes of formal grammars and their corresponding classes of formal languages. In a second step, we introduce the word problem, analyse its decidability and complexity for different classes of formal languages, and discuss consequences of this analysis on language processing. We conclude the lecture with a discussion about parse tree construction, abstract syntax trees, and ambiguities.
C# Cheat Sheet
This C# cheat sheet summarizes the most commonly-used language features. It is ideal for those new to learning this language.
Declare Your Language: Transformation by Strategic Term Rewriting
Lecture 4 of compiler construction course on program transformation by means of strategic term rewriting in Stratego
Scala 3 enum for a terser Option Monad Algebraic Data Type
(download for flawless slides)
* Explore a terser definition of the Option Monad that uses a Scala 3 enum as an Algebraic Data Type.
* In the process, have a tiny bit of fun with Scala 3 enums.
* Get a refresher on the Functor and Monad laws.
* See how easy it is to use Scala 3 extension methods, e.g. to add convenience methods and infix operators.
The diagrams for function composition and Kleisli composition were made using https://q.uiver.app/ by https://twitter.com/varkora.
Source code: https://github.com/philipschwarz/scala-3-enum-for-terser-option-monad-algebraic-data-type
Errata:
slide 14 is an unwanted leftover - it is the same as slide 15 minus a diagram.
on slide 19, the colons in the extension method declarations are not needed
Declarative Semantics Definition - Static Analysis and Error Checking
The document discusses static analysis and error checking in compiler construction. It covers several key topics:
- The static analysis process of parsing source code, checking for errors, and generating machine code.
- Name analysis, binding, and scoping during static checking and for editor services like refactoring and code generation.
- Testing static semantics including name binding, type systems, and constraints.
- Restricting context-free languages using static semantics and judgements of well-formedness and well-typedness.
- Formal type systems including those for Tiger language examples involving types, expressions, and scoping.
Declare Your Language: Name Resolution
Scope graphs are used to represent the binding information in programs. They provide a language-independent representation of name resolution that can be used to conduct and represent the results of name resolution. Separating the representation of resolved programs from the declarative rules that define name binding allows language-independent tooling to be developed for name resolution and other tasks.
LL Parsing
This document provides an overview of LL parsing algorithms. It begins with a recap of formal language theory concepts like regular grammars, regular expressions, finite state automata, context-free grammars, derivation, and language generation. It then discusses predictive (recursive descent) parsing and LL parsing in particular. Key concepts covered include LL(k) grammars, filling the LL parsing table based on FIRST and FOLLOW sets, and using the table to perform LL parsing. An example grammar and its parsing table are provided to illustrate the process.
Compiler Construction | Lecture 9 | Constraint Resolution
This document provides an overview of constraint resolution in the context of a compiler construction lecture. It discusses unification, which is the basis for many type inference and constraint solving approaches. It also describes separating type checking into constraint generation and constraint solving, and introduces a constraint language that integrates name resolution into constraint resolution through scope graph constraints. Finally, it discusses papers on further developments with this approach, including addressing expressiveness and staging issues in type systems through the Statix DSL for defining type systems.
Compiler Construction | Lecture 4 | Parsing
This lecture covers parsing and turning syntax definitions into parsers. It discusses context-free grammars and derivations. Grammars can be ambiguous, allowing multiple parse trees for a sentence. Grammar transformations like disambiguation, eliminating left recursion, and left factoring can address issues while preserving the language. Associativity and priority can be defined through transformations. The reading material covers parsing schemata, classical compiler textbooks, and papers on disambiguation filters and parsing algorithms.
CS4200 2019 | Lecture 2 | syntax-definition
This document provides an overview of the Lecture 2 on Declarative Syntax Definition for the CS4200 Compiler Construction course. The lecture covers the specification of syntax definition from which parsers can be derived, the perspective on declarative syntax definition using SDF, and reading material on the SDF3 syntax definition formalism and papers on testing syntax definitions and declarative syntax. It also discusses what syntax is, both in linguistics and programming languages, and how programs can be described in terms of syntactic categories and language constructs. An example Tiger program for solving the n-queens problem is presented to illustrate syntactic categories in Tiger.
CS4200 2019 | Lecture 3 | Parsing
This document provides an overview of parsing in compiler construction. It discusses context-free grammars and how they are used to generate sentences and parse trees through derivations. It also covers ambiguity that can arise from grammars and various grammar transformations used to eliminate ambiguity, including defining associativity and priority. The dangling else problem is presented as an example of an ambiguous grammar.
Five Languages in a Moment
The document discusses 5 programming languages that the author has learned over the years: Ruby, Erlang, Haskell, Common Lisp, and Clojure. For each language, it provides a brief overview of its origins, paradigms, and interesting features. It encourages readers to try the languages if they are interested in functional programming, parallelism, strong typing, metaprogramming, or Lisp dialects on the JVM.
Lexical Analysis
The document discusses lexical analysis and regular languages. It begins with an overview of lexical analysis and its components, including regular languages defined via regular grammars, regular expressions, and finite state automata. It then covers the equivalence between these formalisms for describing regular languages and how to construct a nondeterministic finite automaton from a regular expression.
Monad Fact #2
Download for flawless quality (slides viewed online look a bit grainy and out of focus).
Equivalence of nested flatMaps and chained flatMaps for Kleisli arrow composition.
Static Analysis
The document discusses static analysis and error checking in compiler construction. It introduces key concepts like parsing source code, performing static semantic checks, and generating machine code. Specific techniques covered include name analysis, type systems, formal semantics, and testing static analysis. Examples are provided using Tiger, a simple imperative language, to illustrate type rules and name binding. The document also discusses theoretical foundations in formal language theory and decidability/complexity.
Sequence and Traverse - Part 3
download for better quality - Learn about the sequence and traverse functions through the work of Runar Bjarnason and Paul Chiusano, authors of Functional Programming in Scala https://www.manning.com/books/functional-programming-in-scala, and Sam Halliday, author of "Functional Programming for Mortals with Scalaz" https://leanpub.com/fpmortals
Category Theory for Programmers
Slides of my talk at Geekskool. Covers composition, identity, associativity, morphism, monoid, functors, set, commutative diagram, ologs, graphs, database schema.
Iceei2013 expert system in detecting coffee plant diseases
Coffee is an important commodity in the world economy. But unfortunately, productivity and quality of those commodities results are still quite low. This is caused by the disease in coffee plants.
The research objective is to create an application that can help researchers or observers working in coffee plantation to diagnose diseases of coffee plants.
The method used is fuzzy logic-based expert systems, and decision tree using a hierarchical classification. Knowledge about coffee, its symptoms, and its disease is extracted from human expert and then is converted into a decision tree. It will result on the fuzzy logic-based expert systems.
From the experiments, accuracy calculation of the system is about 85%. Based on the accuracy, it can be concluded that this application can be a bit much to help researchers or observers of the coffee plants in diagnosing coffee plants diseases earlier.
Index Terms— Expert System, Fuzzy, Decision Tree, Coffee, Disease
Caddie presentation
The document provides an overview of expert systems and CLIPS. It defines an expert system as a computer program that uses knowledge and rules to solve problems in a specific domain that normally requires human expertise. The history of expert systems is discussed, from early production rule systems in the 1940s to influential systems like MYCIN in the 1970s. Key components of rule-based expert systems are described, including the inference engine and the highly efficient Rete pattern matching algorithm. The document also outlines an agenda for describing CLIPS and the CADDIE expert system shell and applications.
More Related Content
What's hot
Compiler Construction | Lecture 5 | Transformation by Term Rewriting
Lecture about transformation by term rewriting in Stratego for a course on compiler construction at TU Delft
Syntax Definition
This document discusses syntax definition and provides examples using various syntax definition formalisms including Backus-Naur Form (BNF), Extended Backus-Naur Form (EBNF), and SDF3. It introduces concepts of lexical syntax, context-free syntax, abstract syntax, disambiguation, and testing syntax definitions. Specific examples are provided for defining the syntax of an expression language using BNF, EBNF, and SDF3. Testing syntax definitions using Spoofax is also discussed with examples of test cases for lexical and context-free syntax.
Declare Your Language: Type Checking
This document summarizes and discusses type checking algorithms for programming languages. It introduces constraint-based type checking, which separates type checking into constraint generation and constraint solving. This provides a more declarative way to specify type checkers. The document discusses using variables and constraints to represent types during type checking. It introduces NaBL2, a domain-specific language for writing constraint generators to specify name and type constraints for programming language static semantics. NaBL2 uses scope graphs to represent name binding structures and supports features like type equality, subtyping, and type-dependent name resolution through constraint rules. An example scope graph and constraint rule for let-bindings is provided.
Declarative Syntax Definition - Grammars and Trees
This lecture lays the theoretic foundations for declarative syntax formalisms and syntax-based language processors, which we will discuss later in the course. We introduce the notions of formal languages, formal grammars, and syntax trees, starting from Chomsky's work on formal grammars as generative devices.
We start with a formal model of languages and investigate formal grammars and their derivation relations as finite models of infinite productivity. We further discuss several classes of formal grammars and their corresponding classes of formal languages. In a second step, we introduce the word problem, analyse its decidability and complexity for different classes of formal languages, and discuss consequences of this analysis on language processing. We conclude the lecture with a discussion about parse tree construction, abstract syntax trees, and ambiguities.
C# Cheat Sheet
This C# cheat sheet summarizes the most commonly-used language features. It is ideal for those new to learning this language.
Declare Your Language: Transformation by Strategic Term Rewriting
Lecture 4 of compiler construction course on program transformation by means of strategic term rewriting in Stratego
Scala 3 enum for a terser Option Monad Algebraic Data Type
(download for flawless slides)
* Explore a terser definition of the Option Monad that uses a Scala 3 enum as an Algebraic Data Type.
* In the process, have a tiny bit of fun with Scala 3 enums.
* Get a refresher on the Functor and Monad laws.
* See how easy it is to use Scala 3 extension methods, e.g. to add convenience methods and infix operators.
The diagrams for function composition and Kleisli composition were made using https://q.uiver.app/ by https://twitter.com/varkora.
Source code: https://github.com/philipschwarz/scala-3-enum-for-terser-option-monad-algebraic-data-type
Errata:
slide 14 is an unwanted leftover - it is the same as slide 15 minus a diagram.
on slide 19, the colons in the extension method declarations are not needed
Declarative Semantics Definition - Static Analysis and Error Checking
The document discusses static analysis and error checking in compiler construction. It covers several key topics:
- The static analysis process of parsing source code, checking for errors, and generating machine code.
- Name analysis, binding, and scoping during static checking and for editor services like refactoring and code generation.
- Testing static semantics including name binding, type systems, and constraints.
- Restricting context-free languages using static semantics and judgements of well-formedness and well-typedness.
- Formal type systems including those for Tiger language examples involving types, expressions, and scoping.
Declare Your Language: Name Resolution
Scope graphs are used to represent the binding information in programs. They provide a language-independent representation of name resolution that can be used to conduct and represent the results of name resolution. Separating the representation of resolved programs from the declarative rules that define name binding allows language-independent tooling to be developed for name resolution and other tasks.
LL Parsing
This document provides an overview of LL parsing algorithms. It begins with a recap of formal language theory concepts like regular grammars, regular expressions, finite state automata, context-free grammars, derivation, and language generation. It then discusses predictive (recursive descent) parsing and LL parsing in particular. Key concepts covered include LL(k) grammars, filling the LL parsing table based on FIRST and FOLLOW sets, and using the table to perform LL parsing. An example grammar and its parsing table are provided to illustrate the process.
Compiler Construction | Lecture 9 | Constraint Resolution
This document provides an overview of constraint resolution in the context of a compiler construction lecture. It discusses unification, which is the basis for many type inference and constraint solving approaches. It also describes separating type checking into constraint generation and constraint solving, and introduces a constraint language that integrates name resolution into constraint resolution through scope graph constraints. Finally, it discusses papers on further developments with this approach, including addressing expressiveness and staging issues in type systems through the Statix DSL for defining type systems.
Compiler Construction | Lecture 4 | Parsing
This lecture covers parsing and turning syntax definitions into parsers. It discusses context-free grammars and derivations. Grammars can be ambiguous, allowing multiple parse trees for a sentence. Grammar transformations like disambiguation, eliminating left recursion, and left factoring can address issues while preserving the language. Associativity and priority can be defined through transformations. The reading material covers parsing schemata, classical compiler textbooks, and papers on disambiguation filters and parsing algorithms.
CS4200 2019 | Lecture 2 | syntax-definition
This document provides an overview of the Lecture 2 on Declarative Syntax Definition for the CS4200 Compiler Construction course. The lecture covers the specification of syntax definition from which parsers can be derived, the perspective on declarative syntax definition using SDF, and reading material on the SDF3 syntax definition formalism and papers on testing syntax definitions and declarative syntax. It also discusses what syntax is, both in linguistics and programming languages, and how programs can be described in terms of syntactic categories and language constructs. An example Tiger program for solving the n-queens problem is presented to illustrate syntactic categories in Tiger.
CS4200 2019 | Lecture 3 | Parsing
This document provides an overview of parsing in compiler construction. It discusses context-free grammars and how they are used to generate sentences and parse trees through derivations. It also covers ambiguity that can arise from grammars and various grammar transformations used to eliminate ambiguity, including defining associativity and priority. The dangling else problem is presented as an example of an ambiguous grammar.
Five Languages in a Moment
The document discusses 5 programming languages that the author has learned over the years: Ruby, Erlang, Haskell, Common Lisp, and Clojure. For each language, it provides a brief overview of its origins, paradigms, and interesting features. It encourages readers to try the languages if they are interested in functional programming, parallelism, strong typing, metaprogramming, or Lisp dialects on the JVM.
Lexical Analysis
The document discusses lexical analysis and regular languages. It begins with an overview of lexical analysis and its components, including regular languages defined via regular grammars, regular expressions, and finite state automata. It then covers the equivalence between these formalisms for describing regular languages and how to construct a nondeterministic finite automaton from a regular expression.
Monad Fact #2
Download for flawless quality (slides viewed online look a bit grainy and out of focus).
Equivalence of nested flatMaps and chained flatMaps for Kleisli arrow composition.
Static Analysis
The document discusses static analysis and error checking in compiler construction. It introduces key concepts like parsing source code, performing static semantic checks, and generating machine code. Specific techniques covered include name analysis, type systems, formal semantics, and testing static analysis. Examples are provided using Tiger, a simple imperative language, to illustrate type rules and name binding. The document also discusses theoretical foundations in formal language theory and decidability/complexity.
Sequence and Traverse - Part 3
download for better quality - Learn about the sequence and traverse functions through the work of Runar Bjarnason and Paul Chiusano, authors of Functional Programming in Scala https://www.manning.com/books/functional-programming-in-scala, and Sam Halliday, author of "Functional Programming for Mortals with Scalaz" https://leanpub.com/fpmortals
Category Theory for Programmers
Slides of my talk at Geekskool. Covers composition, identity, associativity, morphism, monoid, functors, set, commutative diagram, ologs, graphs, database schema.
What's hot (20)
Compiler Construction | Lecture 5 | Transformation by Term Rewriting
Compiler Construction | Lecture 5 | Transformation by Term Rewriting
Declarative Syntax Definition - Grammars and Trees
Declarative Syntax Definition - Grammars and Trees
Declare Your Language: Transformation by Strategic Term Rewriting
Declare Your Language: Transformation by Strategic Term Rewriting
Scala 3 enum for a terser Option Monad Algebraic Data Type
Scala 3 enum for a terser Option Monad Algebraic Data Type
Declarative Semantics Definition - Static Analysis and Error Checking
Declarative Semantics Definition - Static Analysis and Error Checking
Compiler Construction | Lecture 9 | Constraint Resolution
Compiler Construction | Lecture 9 | Constraint Resolution
Viewers also liked
Iceei2013 expert system in detecting coffee plant diseases
Coffee is an important commodity in the world economy. But unfortunately, productivity and quality of those commodities results are still quite low. This is caused by the disease in coffee plants.
The research objective is to create an application that can help researchers or observers working in coffee plantation to diagnose diseases of coffee plants.
The method used is fuzzy logic-based expert systems, and decision tree using a hierarchical classification. Knowledge about coffee, its symptoms, and its disease is extracted from human expert and then is converted into a decision tree. It will result on the fuzzy logic-based expert systems.
From the experiments, accuracy calculation of the system is about 85%. Based on the accuracy, it can be concluded that this application can be a bit much to help researchers or observers of the coffee plants in diagnosing coffee plants diseases earlier.
Index Terms— Expert System, Fuzzy, Decision Tree, Coffee, Disease
Caddie presentation
The document provides an overview of expert systems and CLIPS. It defines an expert system as a computer program that uses knowledge and rules to solve problems in a specific domain that normally requires human expertise. The history of expert systems is discussed, from early production rule systems in the 1940s to influential systems like MYCIN in the 1970s. Key components of rule-based expert systems are described, including the inference engine and the highly efficient Rete pattern matching algorithm. The document also outlines an agenda for describing CLIPS and the CADDIE expert system shell and applications.
CLIPS
CLIPS is an expert system tool for building rule-based and object-oriented expert systems. It was originally developed by NASA in the 1980s and provides mechanisms like a production rule interpreter, object-oriented programming, and a LISP-like procedural language. CLIPS uses forward and backward chaining to apply rules to facts and find conclusions. It has been widely used due to its portability, speed, and ability to be integrated with other languages.
Social Media Essentials
The document provides an overview of how individuals and businesses can use popular social media tools like blogs, Facebook, YouTube, and Twitter to promote themselves and their brand. It discusses what each platform is used for, examples of how some companies have successfully used various social media to increase sales and gain followers, and tips for creating engaging content on different social media. The document also advertises a two-day social media essentials workshop that will teach attendees how to use these various platforms effectively.
Eye disease expert system
This document describes the development of an expert system for diagnosing eye diseases using CLIPS. It includes sections on the introduction, function, knowledge base, inference engine, user interface, CLIPS tool, conclusion, and references. The system aims to help doctors and patients by providing decision support, training, and expert advice on eye diseases. Currently it covers a few diseases but is expected to include all identified eye diseases in the future.
CLIPS Basic Student Guide
Basic student guide for learning CLIPS Expert System Language an Artificial Intelligent field,
This document used to teach Bachelor Student in the LAB of Computer Sciences in UQU.
Introduction to CLIPS Expert System
The document discusses the expert system shell CLIPS (C Language Integrated Production System). It describes what an expert system is, the typical structure of an expert system including the knowledge base and inference engine, and how CLIPS allows defining facts, rules, templates, functions, and object-oriented programming concepts like classes and instances. It also covers how CLIPS provides mechanisms for pattern matching, rule execution, and message passing between rules and objects.
Expert Systems & Prolog
The document discusses expert systems and the programming language Prolog. It provides an overview of expert systems, how they work by analyzing information using rules, and examples like Dendral. It describes Prolog's history and use in developing expert systems. The document also covers forward and backward chaining in rule-based systems, an example dialog between a user and expert system, and advantages and disadvantages of expert systems.
Viewers also liked (8)
Iceei2013 expert system in detecting coffee plant diseases
Iceei2013 expert system in detecting coffee plant diseases
Similar to Lecture2
Scala 2 + 2 > 4
The document contains code examples demonstrating various Scala programming concepts such as functions, pattern matching, traits, actors and more. It also includes links to online resources for learning Scala.
Scala introduction
The document discusses Scala as a potential replacement for Java on the JVM. It provides quotes from several influential Java developers who express their view that Scala is the most capable replacement for Java currently available on the JVM, and the momentum behind Scala is growing. The document also briefly outlines an agenda for introducing Scala, covering basic syntax, patterns, functions, classes and traits.
C++11 - A Change in Style - v2.0
This is my attempt at a look at some of the features of C++11, and more importantly, describing some of the style changes in C++11 that will make programmers more productive and programs more efficient.
C to perl binding
This document summarizes a talk given at YAPC Tokyo 2010 about calling C code from Perl using various techniques. It discusses Ctypes, a module for directly calling C functions without XS; Libperl++, a C++ library for embedding and extending Perl; and XS++, which allows writing C++ classes that integrate seamlessly with Perl using a special syntax.
The Kotlin Programming Language
The document introduces the Kotlin programming language developed by JetBrains. It provides an overview of Kotlin's motivation, features, syntax and tooling. Key points include Kotlin being a statically typed JVM language intended for industrial use, its focus on common sense features from other languages, and full interoperability with Java.
Scala en
The document provides an overview of the Scala programming language. It discusses how Scala removes some features from Java like break/continue and static, unifies functional programming and object-oriented programming, and treats functions as first-class objects. Key aspects of Scala covered include treating all operators as methods, higher-order functions, pattern matching with case classes, and functional operations on collections like List.
Odp
The document discusses a generic programming toolkit called PADS/ML that can be used to parse, analyze, and transform semi-structured or "ad hoc" data from various domains. It describes how PADS/ML uses generated type representations and typecase analysis to write functions that can operate on any data format described by a PADS/ML type. Case studies of PADX and Harmony are presented, which use PADS/ML to build tools for querying and synchronizing different data formats.
Antlr V3
ANTLR v3 is an improved version of ANTLR that provides more robust grammars, error recovery, attributes, tree construction and code generation capabilities compared to version 2. Some key features include single element EBNF grammar syntax, support for parameters and return values in rules, dynamic scoping of attributes, automatic and rewrite-based tree construction, tree grammars, and internationalization through string templates. The runtime is also better organized and separated into modules for parsing, trees, and debugging.
Generics
C# generics allow the specification of type parameters for classes, interfaces, and methods. This allows types to be deferred until runtime, providing type safety. Generics eliminate the need to use base object types and casts. Well-known generic collections like List<T> are provided in the System.Collections.Generic namespace.
Embedded Typesafe Domain Specific Languages for Java
The document discusses embedded domain-specific languages (DSLs) for Java and provides two case studies:
1) Building SQL queries using a typesafe DSL that avoids errors and allows type inference.
2) Modifying Java bytecode using the ASM library to define a DSL for bytecode engineering.
Data type in c
1. The document discusses various data types in C including their size and range. It covers integral data types like char, int, float, double and their modifiers. It also discusses character, string and array data types.
2. It explains global and local variables and their scope. It provides examples of declarations and initialization of variables.
3. It introduces various statement types in C like input, output, declaration, assignment and control statements. It also lists some example programs to try in the lab.
C# overview part 1
This document provides an overview of C# data types, operators, expressions, statements, and other fundamental concepts. It discusses the different primitive data types in C#, including integer, floating-point, boolean, character, and string types. It also covers literals, variables, operators such as arithmetic, logical, comparison, and assignment, and shows examples of using each concept. The document is intended to teach basic C# syntax and semantics.
Scala as a Declarative Language
The document discusses the benefits of declarative programming using Scala. It provides examples of implementing algorithms and data structures declaratively in Scala. It also discusses the history and future of Scala, as well as how Scala encourages thinking about programs as transformations rather than changes to memory.
Expression trees in C#
This document discusses expression trees in C#. It begins with an introduction to expression trees, which describe the structure of an expression. It then discusses how expression trees are represented in .NET using types deriving from System.Linq.Expressions.Expression. It provides examples of constructing expression trees manually using factory methods, and how lambda expression trees can be converted into delegates. The document also discusses optimizing reflection-heavy code using expression trees, implementing generic operators with expression trees, parsing DSLs into expression trees, obtaining expression trees from lambdas, and identifying type members using expression trees.
Effective Java - Still Effective After All These Years
Joshua Bloch serves up a few Java Puzzlers as an appetizer before and as dessert after the main course on Effective Java.
Organized By: Silicon Valley Web JUG - Van Riper and Kevin Nilson
Hosted and Sponsored By: Google
Video By: Marakana
Shad_Cryptography_PracticalFile_IT_4th_Year (1).docx
The document describes 11 practical implementations of cryptographic techniques using C programming language. The techniques implemented include Caesar cipher, Playfair cipher, Hill cipher, Rail Fence cipher, Data Encryption Standard (DES), Rivest-Shamir-Adleman (RSA) algorithm, and Diffie-Hellman key exchange algorithm. For each practical, it provides the objective, description of the algorithm, example, steps of the algorithm, and the C program code with inputs and outputs. The document is a practical file submitted by a student to fulfill the requirements for a Bachelor of Technology degree.
Mauro yaguachi
This C++ code defines structures for storing personal data in vectors and matrices. It includes functions for inputting, displaying, and searching data in the vectors and matrices. The main menu allows the user to choose between options for inputting/displaying a matrix, inputting/displaying a vector, searching a vector, and deleting a record from the vector.
Static types on javascript?! Type checking approaches to ensure healthy appli...
A talk about Javascript types, how to work with them natively, why add static typing to the mix and some approaches on how to do it.
PostThis
This document provides an overview of LINQ (Language Integrated Query) and its capabilities. It introduces LINQ to Objects, LINQ to SQL, and LINQ to XML. LINQ allows developers to query data structures using SQL-like syntax directly in code and integrates with various .NET languages and data sources.
Oleksii Holub "Expression trees in C#"
Expression trees is an obscure, although very interesting feature in .NET. Most people probably think of it as something synonymous with object-relational mapping frameworks, but despite being its most common use case, it’s not the only one. There are a lot of creative things you can do with expression trees, including code generation, transpilation, metaprogramming, and more. During this talk, I will explain what this feature really is about and guide you through some examples where it provides real-life benefits.
We'll talk about:
What is an expression tree
How to compile code at runtime
How to make reflection faster
How to implement generic operators
How to turn DSLs into expression trees
How to make metaprogramming type-safe
How to translate a lambda into a different language...and more
Similar to Lecture2 (20)
Embedded Typesafe Domain Specific Languages for Java
Embedded Typesafe Domain Specific Languages for Java
Effective Java - Still Effective After All These Years
Effective Java - Still Effective After All These Years
Shad_Cryptography_PracticalFile_IT_4th_Year (1).docx
Shad_Cryptography_PracticalFile_IT_4th_Year (1).docx
Static types on javascript?! Type checking approaches to ensure healthy appli...
Static types on javascript?! Type checking approaches to ensure healthy appli...
Lecture2
- 1. ___________________________________________ Knowledge-Based Systems (KBSs) ___________________________________________ Fourth Year (First Semester) CS (CS471) & IT (College Ellective -2) Dr. Hamdy M. Mousa MENOUFIA UNIVERSITY FACULTY OF COMPUTERS AND INFORMATION Lecture two