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A multidisciplinary artificial intelligence model of an affective robot
Hooman Aghaebrahimi Samani
, Elham Saadatian
Communications and Intelligent Systems
Centre for Engineering Research
Department of Engineering and Technology
School of Physics, Engineering & Computer Science
Research output
:
Contribution to journal
›
Article
›
peer-review
32
Citations (Scopus)
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Keyphrases
Affection
66%
Affective Robotics
100%
Affective State
100%
Artificial Endocrine System
66%
Artificial Intelligence
33%
Artificial Intelligence Models
100%
Artificial Intelligence Systems
33%
Bayesian Network
33%
Dynamic Bayesian Network
33%
Emotional Behavior
33%
Emotional Communication
33%
Human Love
33%
Multi-disciplinary Artificial Intelligence
100%
Multidisciplinary Approach
33%
Psychological Parameters
33%
Psychology of Love
33%
Rare Transitions
33%
Robotic System
33%
State Transition
66%
System Module
33%
Systems-based
33%
Transition Method
33%
Transition Module
33%
Transition-based
33%
Psychology
Artificial Intelligence
100%
Emotion
100%
Endocrine System
66%
Intelligence
100%
Psychology
33%
Computer Science
Artificial Intelligence
25%
Artificial Intelligence Model
100%
Bayesian Networks
12%
Dynamic Bayesian Network
12%
Emotional Behavior
12%
Robot
100%
State Transition
25%