Introduction to the Generative Artificial Intelligence Systems

Mitja Kovač ()
Additional contact information
Mitja Kovač: University of Ljubljana

Chapter Chapter 4 in Generative Artificial Intelligence, 2024, pp 59-82 from Springer

Abstract: Abstract This chapter attempts to explain the main concepts, definitions and developments of the field of artificial intelligence. It addresses the issues of logic, probability, perception, learning and action. The chapter examines the current “state of the art” of the artificial intelligence systems and its recent developments. Moreover, this chapter presents the artificial intelligence’s conceptual foundations and discusses the issues of machine learning, uncertainty, reasoning, learning and robotics.

Keywords: Generative artificial intelligence systems; Developments; Machine learning; Uncertainty; Reasoning; Learning; Robotics (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-65514-2_4

Ordering information: This item can be ordered from
http://www.springer.com/9783031655142

DOI: 10.1007/978-3-031-65514-2_4

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().