AI Technologies
Hybrid AI
Heterogeneous neuro-symbolic multi-agent/agentic architectures
"Black box AI" lacks user transparency, explanation, and inter-component composition
Multi-cognitive module integration modeled on human reasoning (cognition, perception, language, action and embodiment)
AGI and reasoning
Systematic LLM extraction of world knowledge
Mappings to logic and reasoning components when appropriate
AGI Challenge Problems
General reasoning, rational action and causation
Collaborative systems and teams
Inter-agent collaboration and communication at the team level
Human and machine teams
Explanation, human in/on the loop
Formal belief, desire, intention models of collaboration
Natural Language Understanding and Dialogue
Multi-domain LLM NL and dialogue support specialized to individual users
Realtime virtual personal task assistance
Speech interfaces
Dynamic knowledge content access
Robotics
Distributed and collaborative physically embodied mobile robotics systems
Simulation models for development and testing
Human-robot NL interaction
Principled integration of rich action models
Strategic Innovation Planning and Management
Individualized and organization-centered strategic planning and management of AI system development within hybrid deployed computational systems