Research Interests
The
current areas of research in the Complex Adaptive Systems Lab include the following:
|
Complex
Systems: Complex
Systems Engineering Evolvability
and Modularity in Complex Systems Multi-Agent
Models of Social Networks Self-Configuring
Systems Self-Organization
and Control in Swarms Synchronized
Oscillators |
|
AI
and Neural Networks: Embodied
AI Deep
Learning Attractor-Based
Neural Computation Developmental
Learning in Neural Networks Neural
Networks in Natural Language Processing Neural
Models of Thinking and Creativity Artificial
General Intelligence AI
and Societal Issues; AI
Futures. |
|
Computational
Neuroscience & Cognitive Science:
Neuroynamical
Models of Cognition Synergistic
Neural Models of Motor Control Neuorocognitive
Networks Analysis
of Large-Scale Brain Signals Multi-Agent
Models of Social Networks; Connectionist
Models of the Hippocampus Brain-Machine
Interfaces |
|
Complex
Networks: Human
Networks Biological
Networks Language
Networks Network
Clustering and Community Extraction Network
Robustness |
|
Text
Analysis and Modeling: Semantic
Analysis Semantic
Embedding Language
Models Topic
Extraction Document
Classification Document
Segmentation Generative
Models Extraction
of Ideas from Texts |
|
Artificial
Life and Computational Biology:
Artificial
Organisms Self-Organized
Design Modularity
and Evolvability Models
of Evolution and Development |
Last modified: January 2019