Autonomous cognitive robots need emotional modulations: Introducing the eMODUL model

M Belkaid, N Cuperlier… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Emotion is an integral part of cognition. There is significant evidence of mutual, bi-directional
influence between cognitive and emotional processes. Also, more and more research works …

Early musical training benefits to non-musical cognitive ability associated with the Gestalt principles

J Hou, C Chen, Q Dong - Frontiers in Psychology, 2023 - frontiersin.org
Musical training has been evidenced to facilitate music perception, which refers to the
consistencies, boundaries, and segmentations in pieces of music that are associated with …

'I don't want to play with you anymore': dynamic partner judgements in moody reinforcement learners playing the prisoner's dilemma

G Feehan, S Fatima - The Knowledge Engineering Review, 2024 - cambridge.org
Emerging reinforcement learning algorithms that utilize human traits as part of their
conceptual architecture have been demonstrated to encourage cooperation in social …

Modeling emotion to enable intelligent behavior in robots

M Belkaid, L Pessoa - Intellectica-La revue de l'Association pour la …, 2023 - hal.science
Over the past decades, research in cognitive and affective neuroscience has emphasized
that emotion is crucial for human intelligence and in fact inseparable from cognition …

[PDF][PDF] Augmenting Reinforcement Learning to Enhance Cooperation in the Iterated Prisoner's Dilemma.

G Feehan, S Fatima - ICAART (3), 2022 - pdfs.semanticscholar.org
Reinforcement learning algorithms applied to social dilemmas sometimes struggle with
converging to mutual cooperation against like-minded partners, particularly when utilising …

Reinforcement Emotion‐Cognition System: A Teaching Words Task

M Li, L Xie, A Zhang, F Ren - Computational Intelligence and …, 2019 - Wiley Online Library
The goal of this paper is to suggest a system for intelligent learning environments with robots
modeling of emotion regulation and cognition based on quantitative motivation. A detailed …

Towards learning agents with personality traits: Modeling openness to experience

M Ramicic, A Bonarini - Cognitive Systems Research, 2019 - Elsevier
Recent advances in neurosciences and cognitive sciences show us that the human
neocortex is not a slave to the experiences from our perception and that the memories …

Explanation through behavior: a human-inspired framework for explainable robotics

M Belkaid - ICRA2023 Workshop on Explainable Robotics, 2023 - openreview.net
Can robots' observable behavior give human observers insights into their hidden internal
processes? This paper examines this idea with the aim of developing a framework for …

Algorithmic ersatz for VSA: Macroscopic simulation of Vector Symbolic Architecture

C Mercier, T Viéville - 2024 - inria.hal.science
Spiking neuronal networks are biologically plausible implementations of brain circuit
computations, meaning that they can provide a way to manipulate symbols embedded as …

Approaching realism in social dilemmas: moody reinforcement learners can conditionally replicate human models

G Feehan - 2022 - repository.lboro.ac.uk
More obscure components of affect-such as mood-are frequently undervalued in artificial
agent modelling, despite demonstrative evidence that they may have an influence on human …