Minimum Intelligent Signal Test as an Alternative to the Turing Test

Diametros 59:35-47 (2019)
  Copy   BIBTEX

Abstract

The aim of this paper is to present and discuss the issue of the adequacy of the Minimum Intelligent Signal Test (MIST) as an alternative to the Turing Test. MIST has been proposed by Chris McKinstry as a better alternative to Turing’s original idea. Two of the main claims about MIST are that (1) MIST questions exploit commonsense knowledge and as a result are expected to be easy to answer for human beings and difficult for computer programs; and that (2) the MIST design aims at eliminating the problem of the role of judges in the test. To discuss these design assumptions we will present Peter D. Turney’s PMI-IR algorithm which allows for MIST-type questions to be answered. We will also present and discuss the results of our own study aimed at the judge problem for MIST.

Similar books and articles

The Turing test.B. Jack Copeland - 2000 - Minds and Machines 10 (4):519-539.
Who's afraid of the Turing test?Dale Jacquette - 1993 - Behavior and Philosophy 20 (2):63-74.
The status and future of the Turing test.James H. Moor - 2001 - Minds and Machines 11 (1):77-93.
The truly total Turing test.Paul Schweizer - 1998 - Minds and Machines 8 (2):263-272.
Peeking behind the screen: The unsuspected power of the standard Turing test.Robert M. French - 2000 - Journal of Experimental and Theoretical Artificial Intelligence 12 (3):331-340.
Making the right identification in the Turing test.Saul Traiger - 2000 - Minds and Machines 10 (4):561-572.

Analytics

Added to PP
2019-06-13

Downloads
288 (#64,318)

6 months
54 (#69,426)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Paweł Łupkowski
Adam Mickiewicz University

Citations of this work

No citations found.

Add more citations

References found in this work

Computing machinery and intelligence.Alan M. Turing - 1950 - Mind 59 (October):433-60.
The mind as the software of the brain.Ned Block - 1995 - In Daniel N. Osherson, Lila Gleitman, Stephen M. Kosslyn, S. Smith & Saadya Sternberg (eds.), An Invitation to Cognitive Science, Second Edition, Volume 3. Cambridge MA: MIT Press. pp. 377-425.

View all 9 references / Add more references