Illusions of causality occur when people develop the belief that there is a causal connection
between two events that are actually unrelated. Such illusions have been proposed to …

In this article a formal model of associative learning is presented that incorporates
representational and computational mechanisms that, as a coherent corpus, empower it to …

We deployed the Multiple Necessary Cues (MNC) discrimination task to see if pigeons can
simultaneously attend to four different dimensions of complex visual stimuli. Specifically, we …

Decades of research in causal and contingency learning show that people's estimations of
the degree of contingency between two events are easily biased by the relative probabilities …

Abstract We deployed the Multiple Necessary Cues (MNC) discrimination task to see if
pigeons can simultaneously attend to four different dimensions of complex visual stimuli …

With computational biology striving to provide more accurate theoretical accounts of
biological systems, use of increasingly complex computational models seems inevitable …

Dans cet article, nous passons en revue les preuves des biais cognitifs humains présents
dans l'intelligence artificielle (IA) et discutons des exemples de la façon dont ces biais …

Learning Simulator is a software for simulating learning in animals and humans, as studied
for example in experimental psychology and animal cognition research. It is primarily …

This paper introduces R&W Simulator version 4, which extends previous work by
incorporating context simulation within standard Pavlovian designs. This addition allows the …

This paper presents a novel representational framework for the Temporal Difference (TD)
model of learning, which allows the computation of configural stimuli–cumulative …