Results 101 to 110 of about 2,596,832 (272)

Not All the Bots Are Created Equal: The Ordering Turing Test for the Labeling of Bots in MMORPGs

open access: yesSocial Media + Society, 2017
This article contributes to the research on bots in Social Media. It takes as its starting point an emerging perspective which proposes that we should abandon the investigation of the Turing Test and the functional aspects of bots in favor of studying ...
Stefano De Paoli
doaj   +1 more source

Post-turing methodology: destruction of the wall on the way to general artificial intelligence

open access: yesИнтеллект. Инновации. Инвестиции, 2020
This article attempts to comprehensively criticize the «Turing test» and develop quality criteria for new tests for assessing artificial intelligence. It is shown that the prerequisites for reducing personality and human consciousness, which A.
A. R. Efimov
doaj   +1 more source

Computers and chess masters: The role of AI in transforming elite human performance

open access: yesBritish Journal of Psychology, EarlyView.
Abstract Advances in Artificial Intelligence (AI) have made significant strides in recent years, often supplementing rather than replacing human performance. The extent of their assistance at the highest levels of human performance remains unclear. We analyse over 11.6 million decisions of elite chess players, a domain commonly used as a testbed for AI
Merim Bilalić, Mario Graf, Nemanja Vaci
wiley   +1 more source

Involutory Turing Machines [PDF]

open access: yes, 2020
An involutory function, also called involution, is a function [Formula: see text] that is its own inverse, i.e., [Formula: see text] holds whenever [Formula: see text] is defined. This paper presents a computational model of involution as a variant of Turing machines, called an involutory Turing machine.
openaire   +2 more sources

Can We Tell the Difference? A Turing Test on Human Perceptions of Innovation Ideas in Text Created by ChatGPT

open access: yesCreativity and Innovation Management, EarlyView.
ABSTRACT Generative artificial intelligence (GenAI), such as ChatGPT, is increasingly recognized for its potential to drive innovation, yet questions remain about its ability to mimic human innovation. Leveraging cognitive load theory (CLT), this study explores whether humans can reliably distinguish between incremental and radical innovation ideas in ...
Ruth Maria Stock‐Homburg
wiley   +1 more source

Telepathy, Other Minds, and Category Errors

open access: yesEuropean Journal of Philosophy, EarlyView.
Abstract In this paper, I explore several issues surrounding what is called “telepathy” in the context of the problem of other minds. I begin with a quick review of the conditions in which this notion arose and the difficulties to which it gave rise upon its introduction.
Sébastien Motta
wiley   +1 more source

Turing Impossibility Properties for Stack Machine Programming

open access: yes, 2012
The strong, intermediate, and weak Turing impossibility properties are introduced. Some facts concerning Turing impossibility for stack machine programming are trivially adapted from previous work. Several intriguing questions are raised about the Turing
Bergstra, J. A., Middelburg, C. A.
core   +1 more source

Clustering Longitudinal Data: A Review of Methods and Software Packages

open access: yesInternational Statistical Review, EarlyView.
Summary Clustering of longitudinal data is becoming increasingly popular in many fields such as social sciences, business, environmental science, medicine and healthcare. However, it is often challenging due to the complex nature of the data, such as dependencies between observations collected over time, missingness, sparsity and non‐linearity, making ...
Zihang Lu
wiley   +1 more source

Variance Matrix Priors for Dirichlet Process Mixture Models With Gaussian Kernels

open access: yesInternational Statistical Review, EarlyView.
Summary Bayesian mixture modelling is widely used for density estimation and clustering. The Dirichlet process mixture model (DPMM) is the most popular Bayesian non‐parametric mixture modelling approach. In this manuscript, we study the choice of prior for the variance or precision matrix when Gaussian kernels are adopted.
Wei Jing   +2 more
wiley   +1 more source

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