COSMIC: Commonsense Machine Intelligence
Abstract
The scope of this effort is to develop a Machine Common Sense (MCS) learning framework for Obvious Plans and Inferences for Common Sense (OPICS) service for Artificial Intelligence (AI) and robotic systems. This MCS learning framework will learn MCS planning and inference capabilities about objects, agents, and places equivalent to the capabilities of an 18-month-old infant. The proposed research addresses five fundamental challenges toward MCS: (1) lack of comprehensive KB for causal and multimodal commonsense knowledge, (2) lack of commonsense reasoning engines, (3) lack of universal commonsense embeddings, (4) MCS dataset bottlenecks, and (5) the major discrepancy between existing ML paradigms and MCS-driven learning of humans
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 13, 2022
- Source ID
- N660011924031
Entities
People
- Yejin Choi
Organizations
- Defense Advanced Research Projects Agency
- Naval Information Warfare Center Pacific
- University of Washington