AI Medical Compendium Journal:
Behavioural processes

Showing 1 to 8 of 8 articles

Autoshaped impulsivity: Some explorations with a neural network model.

Behavioural processes
This study evaluated the effect of delay and magnitude of reinforcement in Pavlovian contingencies, extending the understanding of the phenomenon of autoshaped impulsivity as described in Alcalá's thesis (2017) and Burgos and García-Leal (2015). The ...

Automatic classification of dog barking using deep learning.

Behavioural processes
Barking and other dog vocalizations have acoustic properties related to emotions, physiological reactions, attitudes, or some particular internal states. In the field of intelligent audio analysis, researchers use methods based on signal processing a...

Sheep's coping style can be identified by unsupervised machine learning from unlabeled data.

Behavioural processes
The objective of this study was to define coping style of sheep by using unsupervised machine learning approaches. A total of 105 Norduz sheep (age 3-5 years) were subjected to a 5-minute arena test. Agglomerative Hierarchical Clustering (HCA) was pe...

Beyond the "Conceptual Nervous System": Can computational cognitive neuroscience transform learning theory?

Behavioural processes
In the last century, learning theory has been dominated by an approach assuming that associations between hypothetical representational nodes can support the acquisition of knowledge about the environment. The similarities between this approach and c...

Extending unified-theory-of-reinforcement neural networks to steady-state operant behavior.

Behavioural processes
The unified theory of reinforcement has been used to develop models of behavior over the last 20 years (Donahoe et al., 1993). Previous research has focused on the theory's concordance with the respondent behavior of humans and animals. In this exper...

Unified-theory-of-reinforcement neural networks do not simulate the blocking effect.

Behavioural processes
For the last 20 years the unified theory of reinforcement (Donahoe et al., 1993) has been used to develop computer simulations to evaluate its plausibility as an account for behavior. The unified theory of reinforcement states that operant and respon...

Investigating intertemporal choice through experimental evolutionary robotics.

Behavioural processes
In intertemporal choices, subjects face a trade-off between value and delay: achieving the most valuable outcome requires a longer time, whereas the immediately available option is objectively poorer. Intertemporal choices are ubiquitous, and compara...

Autoshaped choice in artificial neural networks: implications for behavioral economics and neuroeconomics.

Behavioural processes
An existing neural network model of conditioning was used to simulate autoshaped choice. In this phenomenon, pigeons first receive an autoshaping procedure with two keylight stimuli X and Y separately paired with food in a forward-delay manner, inter...