CALO
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| Cognitive Agent that Learns and Organizes (Project) [ Edit ] | |
| General Description | |
| type | Sponsored Project |
| homepage | http://www.ai.sri.com/project/CALO |
| Project Description | |
| sponsor | DARPA |
| status | active |
| investigator | Deborah L. McGuinness |
| participant | Alyssa Glass; Li Ding; Cynthia Chang; Michael Wolverton |
| team | Tetherless World Constellation; Stanford University; SRI International |
| General Relation | |
Overview
The goal of the project CALO, for Cognitive Assistant that Learns and Organizes, is to create cognitive software systems, that is, systems that can reason, learn from experience, be told what to do, explain what they are doing, reflect on their experience, and respond robustly to surprise. Rensselaer is leading the explanation efforts.
Documents
Links to shared documents for the CALO project.
File:StrategiesCatalogue.txt -- Catalog of strategies in ICEE, as of 7/15/08
File:SchemaWithLapdog.sql.txt -- latest version of database schema, including updates needed for LAPDOG (September 2007)
File:LAPDOGgeneralizationExplanations.txt -- strategies designed specifically for LAPDOG (May 2007)
File:LAPDOGmetaInfo.txt -- meta-information to be encoded for explaining LAPDOG (March 2007)
File:LAPDOGExplanationApproach.doc -- initial notes on LAPDOG explanation (February 2007)
| Homepage | http://www.ai.sri.com/project/CALO + |
| Investigator | Deborah L. McGuinness + |
| Name | Cognitive Agent that Learns and Organizes + |
| Participant | Alyssa Glass +, Li Ding +, Cynthia Chang +, and Michael Wolverton + |
| Sponsor | DARPA + |
| Status | active + |
| Team | Tetherless World Constellation +, Stanford University +, and SRI International + |

