| dc.contributor.author | Liao, Qianli | |
| dc.date.accessioned | 2020-07-13T13:58:48Z | |
| dc.date.available | 2020-07-13T13:58:48Z | |
| dc.date.issued | 2020-07-13 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/126147 | |
| dc.description.abstract | What is general intelligence? What does it mean by general problem solving? We attempt to give a definition of general problem solving, characterize the common process of problem solving and provide a basic algorithm that can in principle solve a wide range of novel tasks. Specifically, we represent general problem solving as a information/data conversion task that can be solved by finding dependencies/explanations. We propose “Object-Oriented Programming”, a general reasoning framework with object-centric operations that solves problems in a human-like goal-driven fashion, guided by information, compositionality and general theories of objects, instead of merely via large scale searches. | en_US |
| dc.description.sponsorship | This work was supported by the Center for Brains, Minds and Machines (CBMM), funded by NSF STC award CCF - 1231216. | en_US |
| dc.title | A Definition of General Problem Solving | en_US |
| dc.type | Article | en_US |
| dc.type | Working Paper | en_US |
| dc.contributor.department | Center for Brains, Minds, and Machines | |
