Publication Date
| In 2024 | 0 |
| Since 2023 | 0 |
| Since 2020 (last 5 years) | 0 |
| Since 2015 (last 10 years) | 0 |
| Since 2005 (last 20 years) | 1 |
Descriptor
| Abstract Reasoning | 1 |
| Cognitive Processes | 1 |
| Cognitive Science | 1 |
| Comprehension | 1 |
| Computation | 1 |
| Computer Science | 1 |
| Decision Making | 1 |
| Definitions | 1 |
| Difficulty Level | 1 |
| Experiments | 1 |
| Games | 1 |
| More ▼ | |
Source
| Journal of Problem Solving | 1 |
Author
| Carruthers, Sarah | 1 |
| Stege, Ulrike | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Evaluative | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkCarruthers, Sarah; Stege, Ulrike – Journal of Problem Solving, 2013
This article is concerned with how computer science, and more exactly computational complexity theory, can inform cognitive science. In particular, we suggest factors to be taken into account when investigating how people deal with computational hardness. This discussion will address the two upper levels of Marr's Level Theory: the computational…
Descriptors: Problem Solving, Computation, Difficulty Level, Computer Science
