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Cognitive Science for Human Machine Teaming

The Cognitive Science for Human Machine Teaming program seeks to develop empirically grounded models of human cognition and computational architectures that attain human-level intelligence. This research pursues the vision of cognitively and socially compatible intelligent systems that enhance or replace humans and excel as teammates, trainers and assistants across the spectrum of operational concepts for human machine teaming.

Research Concentration Areas

  • Cognitive Architectures
  • Human-Machine Systems
  • Applied AI & Cognitive Systems
  • Social Cognition and Theory of Mind

Research Challenges and Opportunities

  • Basic and applied research in cognitive architectures for embodied systems
  • Basic research on multisensory perception including theory and models of how sense-data becomes percepts available to cognition
  • Basic and applied research in multi-level cognition, including plausible models of memory and attention, reasoning, mental simulation, meta-cognition, and self-regulation
  • Basic research on learning and adaptation, spanning multi-timescale, statistical, inductive, analogical and “one-shot” learning
  • Basic and applied research in human-machine interfaces that enable systems to participate in “real-world” natural dialogues, integrate gesture, touch and gaze with language understanding, understand the actions of others and enable human-machine communication that is sensitive to the needs, goals and intentions of human operators and teammates
  • Applied research in AI and cognitive systems that explores innovative systems technologies, including online models that anticipate operator workload and mental limitations and the development of intuitive interfaces that mitigate operator errors and which can be evaluated by AI and cognitive models
  • Basic and applied research on social cognition that leads to understanding the actions of others within a social and mission context, or representations of other agents and teammates within new social cognitive architectures
  • Basic research on observation-based learning of a Theory of Mind for individuals and teammates in order develop explanations and predictions for the actions of individuals or groups based on mental states

How to Submit

For detailed application and submission information for this research topic, please refer to our broad agency announcement (BAA) No. N00014-22-S-B001.

Contracts: All white papers and full proposals for contracts must be submitted through FedConnect; instructions are included in the BAA.

Grants: All white papers for grants must be submitted through FedConnect, and full proposals for grants must be submitted through; instructions are included in the BAA.


McKenna, Thomas Dr.
Program Officer
Code 341