'Common lisp' presentation slideshows

Lisp

Lisp. Fundamentals. Lisp. a malformed acronym for Lis t P rocessing designed to create computer programs first implemented in the late 1950s by John McCarthy and his associates at MIT has many devotees, especially in the field of artificial intelligence. Why Lisp?.

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System Issues: Constructing a Computer Algebra System

System Issues: Constructing a Computer Algebra System. Lecture 16. Outline. 1. Why do it? CS /fun /it can be done. Math/AI/Theology Profit 2. General design goals 3. Strategies 4. The front end 5. Data 6. Algorithms. CS/fun.

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Lisp Laboratory

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Introduction to Lisp Programming ( DrRacket )

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Symbolic Programming and LISP CS570 Lecture Notes by Jin Hyung Kim Computer Science Department

Symbolic Programming and LISP CS570 Lecture Notes by Jin Hyung Kim Computer Science Department KAIST. Programming Language. A Tool of Representing Knowledge Any Language for Any Task Language Selection driven by Convenience Efficiency man power machine power.

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Lisp: a history

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A rtificial I ntelligence

Dartmouth College. A rtificial I ntelligence. AI conference at Dartmouth College, 1956: McCarthy, Minsky, Newell, Simon Newell, Shaw and Simon demonstrated Logic Theorist , a reasoning program written in IPL (Information Processing Language)

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Object-Oriented Programming

Objects were first introduced in Simula 67 although the intent in Simula was not to provide a new programming paradigm, but instead to offer a construct to easily build models for simulation purposes OOP was developed fully in Smalltalk

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Introduction to Lisp Programming

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PRACTICAL COMMON LISP

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Using Time in Loom

Using Time in Loom. Thomas A. Russ USC Information Sciences Institute. Outline. Time Representation Basic Assertions Basic Queries Persistence Time and the Classifier Advanced Examples. Agent and World Time. World Time Records Domain Facts Agent Time Records Knowledge Base Changes.

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PRACTICAL COMMON LISP

PRACTICAL COMMON LISP. Peter Seibel http://www.gigamonkeys.com/book/. CHAPTER 10 NUMBERS, CHARACTERS, AND STRINGS. REFACTORING. Common Lisp provides built-in support for most of the data types typically found in modern languages: numbers (integer, floating point, and complex),

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Comparative Programming Languages

Functional programming with Lisp/Scheme. Comparative Programming Languages. Fundamentals of Functional Programming Languages. The objective of the design of a functional programming language (FPL) is to mimic mathematical functions to the greatest extent possible

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Random Administrivia

Random Administrivia. In CMC 301 on Friday for LISP lab. Artificial Intelligence: Introduction. What IS artificial intelligence? Examples of intelligent behavior:. Definitions of AI. There are as many definitions as there are practitioners.

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Control Structures

Control Structures. Programs have 4 basic control structures: Sequential Selection Repetition Unconditional Branching

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Getting Started with Lisp

Getting Started with Lisp.

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PRACTICAL COMMON LISP

PRACTICAL COMMON LISP. Peter Seibel http://www.gigamonkeys.com/book/. OUTLINE. CHAPTER 1 Introduction: Why Lisp? CHAPTER 2 Lather, Rinse, Repeat: A Tour of the REPL CHAPTER 3 Practical: A Simple Database CHAPTER 4 Syntax and Semantics CHAPTER 5 Functions CHAPTER 6 Variables

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Properly Tail Recursive Interpreter. Some timings of compilation vs interpretation

Properly Tail Recursive Interpreter. Some timings of compilation vs interpretation. Lecture 16. Why do we want to eliminate recursion?. Uses up stack Required by Scheme language specification (not required in CL but generally done if optimizing) Makes compiling more obvious

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Functional Programming

Functional Programming. 04 Control. Control-Blocks. Common Lisp has 3 basic operators for creating blocks of code progn block tagbody If ordinary function calls are the leaves of a Lisp program, these operators are used to build the branches. Control-Blocks.

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