Information Technology

A Field Guide to Genetic Programming

---

The goal of having computers automatically solve problems is central to artificial intelligence, machine learning, and the broad area encompassed by what Turing called “machine intelligence” (Turing, 1948). Machine learning pioneer Arthur Samuel, in his 1983 talk entitled “AI: Where It Has Been and Where It Is Going” (Samuel, 1983), stated that the main goal of the fields of machine learning and artificial intelligence is:
“to get machines to exhibit behaviour, which if done by humans, would be assumed to involve the use of intelligence.”
Genetic programming (GP) is an evolutionary computation (EC)1 tech- nique that automatically solves problems without requiring the user to know or specify the form or structure of the solution in advance. At the most abstract level GP is a systematic, domain-independent method for getting computers to solve problems automatically starting from a high-level state- ment of what needs to be done.

---

Availability

No copy data

Detail Information

Series Title

-

Call Number

-

Publisher

: ., 2008

Collation

1-250

Language

English

ISBN/ISSN

978-1-4092-0073-4

Classification

NONE

Content Type

-

Media Type

-

Carrier Type

-

Edition

-

Subject(s)

A Field Guide to Genetic Programming

Specific Detail Info

-

Statement of Responsibility

-

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment