An Exploring Study on Building Affective Artificial Intelligence by Neural-Symbolic Computing (Extended Abstract)
Journal
Proceedings of the AAAI Symposium Series
Journal Volume
3
Journal Issue
1
Start Page
592
End Page
593
ISSN
2994-4317
Date Issued
2024-05-20
Author(s)
Abstract
This short paper is the status report of a project in progress. We aim to model human-like agents' decision-making behaviors under risks with neural-symbolic approach. Our model integrates the learning, reasoning, and emotional aspects of an agent and takes the dual process thinking into consideration when the agent is making a decision. The model construction is based on real behavioral and brain imaging data collected in a lottery gambling experiment. We present the model architecture including its main modules and the interactions between them.
Subjects
Decision making
Brain-imaging data
Decision-making behaviors
Dual process
Emotional aspect
Extended abstracts
Human-like agents
Main module
Model construction
Modeling architecture
Symbolic computing
Artificial intelligence
Publisher
Association for the Advancement of Artificial Intelligence (AAAI)
Type
journal article