A glimpse of DARPA’s Assured Neuro Symbolic Learning and Reasoning (ANSR) program
Description - ANSR
Last June, DARPA published information about the Assured Neuro Symbolic Learning and Reasoning (ANSR) program.
Without grammatical modifiers or hyperbole, DARPA describes hybrid (neuro-symbolic) AI architecture.
From select excerpts1, the following graph tells the story of the cooperation between agents (algorithms and humans) by codifying propositions as explicit knowledge.
The graph is organized in a top-down structure to depict a progression from Knowledge Representations to Methods to Results. To improve this graph, eliminate redundant concepts and consistently express challenges and expected results.
Note: This material does not represent the views or opinions of the U.S. Government and it adheres to DARPA’s Usage Policy.2
Graph: Assured Neuro Symbolic Learning and Reasoning (ANSR) program
Why: What are the key challenges of the program?
What: What is DARPA trying to do?
DARPA’s newest artificial intelligence (AI) program, Assured Neuro Symbolic Learning and Reasoning (ANSR), seeks to address these challenges in the form of new, hybrid (neuro-symbolic) AI algorithms that deeply integrate symbolic reasoning with data-driven learning to create robust, assured, and therefore trustworthy systems.
How: How might DARPA accomplish technical goals and program metrics?
The program includes demonstrations to evaluate hybrid AI techniques through relevant military use cases where assurance and autonomy are mission-critical. Specifically, selected teams will develop a common operating picture of a dynamic, dense urban environment using a fully autonomous system equipped with ANSR technologies. The AI would deliver insights to the warfighter that could help characterize friendly, adversarial and neutral entities, the operating environment, and threat and safety corridors.
Assured Neuro Symbolic Learning and Reasoning (ANSR) - Description (SAM.gov)
Contract opportunity: Assured Neuro Symbolic Learning and Reasoning (ANSR) - Description
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