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A Conflict Model of Reward-seeking Behavior in Male Rats

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Nonhuman gamblers: lessons from rodents, primates, and robots.

Fabio Paglieri¹, Elsa Addessi¹, Francesca De Petrillo²

¹Goal-Oriented Agents Lab (GOAL), Istituto di Scienze e Tecnologie della Cognizione, Consiglio Nazionale delle Ricerche (ISTC-CNR) Rome, Italy.

Frontiers in Behavioral Neuroscience

|February 28, 2014

Summary

Investigating pathological gambling in rodents, non-human primates, and robots offers insights into its human neuronal and psychological causes. Integrating research across disciplines like neuroscience and robotics can advance understanding of this condition.

Keywords:

animal models evolutionary models neurocomputational models nonhuman primates pathological gambling risk sensitivity uncertain reward

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Area of Science:

Comparative psychology
Neuroscience
Robotics

Background:

Pathological gambling research in humans can be enhanced by studying animal models and artificial agents.
Cross-species and cross-domain research offers complementary perspectives on complex behaviors.

Purpose of the Study:

To survey studies on pathological gambling in rodents, non-human primates, and robots.
To highlight interdisciplinary connections for future research integration.

Main Methods:

Literature review of studies across different agent populations (rodents, primates, robots).
Analysis of connections between cognitive neuroscience, neuroethology, primatology, neuropsychiatry, and evolutionary robotics.

Main Results:

Rodents, non-human primates, and robots provide valuable, distinct insights into pathological gambling.
Significant interconnections exist between research in these diverse areas.

Conclusions:

A multidisciplinary approach integrating findings from various fields is crucial for advancing the study of pathological gambling.
Future research should focus on methodological integration across species and artificial agents to better understand the underlying mechanisms of pathological gambling.