LISP Programming Language (Artificial Intelligence)
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LISP Language, LISP Introduction, List Processing, LISP Syntax, Lisp Comparison Structures, Lisp Applications. Using of LISP language in Artificial Intelligence
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INTRODUCTION TO LISP
Here is a recursive function to check if a list contains an element:
(defun contains (element list)
(cond ((null list) nil)
((equal element (car list)) t)
(t (contains element (cdr list)))))
To check the guest list:
(contains 'robocop guest-list)
This function:
1. Base case: If list is empty, element is not contained - return nil
2. Check if element equals car of list - if so, return t
3. Otherwise, recursively call contains on element and cdr of list
So it will recursively traverse the list until it finds a match or reaches empty list.
LISP: Introduction to lisp
Lisp was invented in 1958 by John McCarthy and was one of the earliest high-level programming languages. It has a distinctive prefix notation and uses s-expressions to represent code as nested lists. Lisp features include built-in support for lists, dynamic typing, and an interactive development environment. It was closely tied to early AI research and used in systems like SHRDLU. Lisp allows programs to treat code as data through homoiconicity and features like lambdas, conses, and list processing functions make it good for symbolic and functional programming.
Lisp
This document provides an overview of the Lisp programming language. It begins with some notable quotes about Lisp praising its power and importance. It then covers the basic syntax of Lisp including its use of prefix notation, basic data types like integers and booleans, and variables. It demonstrates how to print, use conditional statements like IF and COND, and describes lists as the core data structure in Lisp.
Lexical Analysis - Compiler design
The document discusses the role and implementation of a lexical analyzer. It can be summarized as:
1. A lexical analyzer scans source code, groups characters into lexemes, and produces tokens which it returns to the parser upon request. It handles tasks like removing whitespace and expanding macros.
2. It implements buffering techniques to efficiently scan large inputs and uses transition diagrams to represent patterns for matching tokens.
3. Regular expressions are used to specify patterns for tokens, and flex is a common language for implementing lexical analyzers based on these specifications.
Lisp
This document provides an overview of the Lisp programming language. It discusses key features of Lisp including its invention in 1958, machine independence, dynamic updating, and wide data types. The document also covers Lisp syntax, data types, variables, constants, operators, decision making, arrays, loops, text editors, and common uses of Lisp like Emacs. Overall, the document serves as a high-level introduction to the concepts and capabilities of the Lisp programming language.
Parsing LL(1), SLR, LR(1)
This document discusses parsing and different parsing techniques. It defines parsing as the process of verifying that tokens generated by a lexical analyzer follow the syntactic rules of a language. Parsers can be top-down or bottom-up. Top-down parsers build the parse tree from the root to leaves by following leftmost derivations, while bottom-up parsers start from the leaves and work upwards. The document also discusses LL(1), SLR, and LR(1) parsing techniques, including how to construct parsing tables and handle conflicts. LR(1) parsers are more restrictive than SLR(1) parsers in where they allow reduce operations.
Lisp
The document discusses the Lisp programming language. It notes that Allegro Common Lisp will be used and lists textbooks for learning Lisp. It provides 10 points on Lisp, including that it is interactive, dynamic, uses symbols and lists as basic data types, prefix notation for operators, and classifies different data types. Evaluation follows simple rules and programs can be treated as both instructions and data.
Lecture 10 semantic analysis 01
This document summarizes semantic analysis in compiler design. Semantic analysis computes additional meaning from a program by adding information to the symbol table and performing type checking. Syntax directed translations relate a program's meaning to its syntactic structure using attribute grammars. Attribute grammars assign attributes to grammar symbols and compute attribute values using semantic rules associated with grammar productions. Semantic rules are evaluated in a bottom-up manner on the parse tree to perform tasks like code generation and semantic checking.
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INTRODUCTION TO LISP
Here is a recursive function to check if a list contains an element:
(defun contains (element list)
(cond ((null list) nil)
((equal element (car list)) t)
(t (contains element (cdr list)))))
To check the guest list:
(contains 'robocop guest-list)
This function:
1. Base case: If list is empty, element is not contained - return nil
2. Check if element equals car of list - if so, return t
3. Otherwise, recursively call contains on element and cdr of list
So it will recursively traverse the list until it finds a match or reaches empty list.
LISP: Introduction to lisp
Lisp was invented in 1958 by John McCarthy and was one of the earliest high-level programming languages. It has a distinctive prefix notation and uses s-expressions to represent code as nested lists. Lisp features include built-in support for lists, dynamic typing, and an interactive development environment. It was closely tied to early AI research and used in systems like SHRDLU. Lisp allows programs to treat code as data through homoiconicity and features like lambdas, conses, and list processing functions make it good for symbolic and functional programming.
Lisp
This document provides an overview of the Lisp programming language. It begins with some notable quotes about Lisp praising its power and importance. It then covers the basic syntax of Lisp including its use of prefix notation, basic data types like integers and booleans, and variables. It demonstrates how to print, use conditional statements like IF and COND, and describes lists as the core data structure in Lisp.
Lexical Analysis - Compiler design
The document discusses the role and implementation of a lexical analyzer. It can be summarized as:
1. A lexical analyzer scans source code, groups characters into lexemes, and produces tokens which it returns to the parser upon request. It handles tasks like removing whitespace and expanding macros.
2. It implements buffering techniques to efficiently scan large inputs and uses transition diagrams to represent patterns for matching tokens.
3. Regular expressions are used to specify patterns for tokens, and flex is a common language for implementing lexical analyzers based on these specifications.
Lisp
This document provides an overview of the Lisp programming language. It discusses key features of Lisp including its invention in 1958, machine independence, dynamic updating, and wide data types. The document also covers Lisp syntax, data types, variables, constants, operators, decision making, arrays, loops, text editors, and common uses of Lisp like Emacs. Overall, the document serves as a high-level introduction to the concepts and capabilities of the Lisp programming language.
Parsing LL(1), SLR, LR(1)
This document discusses parsing and different parsing techniques. It defines parsing as the process of verifying that tokens generated by a lexical analyzer follow the syntactic rules of a language. Parsers can be top-down or bottom-up. Top-down parsers build the parse tree from the root to leaves by following leftmost derivations, while bottom-up parsers start from the leaves and work upwards. The document also discusses LL(1), SLR, and LR(1) parsing techniques, including how to construct parsing tables and handle conflicts. LR(1) parsers are more restrictive than SLR(1) parsers in where they allow reduce operations.
Lisp
The document discusses the Lisp programming language. It notes that Allegro Common Lisp will be used and lists textbooks for learning Lisp. It provides 10 points on Lisp, including that it is interactive, dynamic, uses symbols and lists as basic data types, prefix notation for operators, and classifies different data types. Evaluation follows simple rules and programs can be treated as both instructions and data.
Lecture 10 semantic analysis 01
This document summarizes semantic analysis in compiler design. Semantic analysis computes additional meaning from a program by adding information to the symbol table and performing type checking. Syntax directed translations relate a program's meaning to its syntactic structure using attribute grammars. Attribute grammars assign attributes to grammar symbols and compute attribute values using semantic rules associated with grammar productions. Semantic rules are evaluated in a bottom-up manner on the parse tree to perform tasks like code generation and semantic checking.
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