Name
Abstract | ||
|---|---|---|
Contextually based reasoning is an essential aspect of human cognition, permeating language, memory, and reasoning capabilities. This integral process is developed over the lifetime through experiential learning. Given the goal of artificial intelligence to mimic human intelligence, it is essential to include such contextual considerations in system design and implementation. We compare selected computational architectures and cognitive paradigms on the basis of key elements in human intelligence understanding in order to illustrate the similarities and differences between the two viewpoints and highlight the potential effectiveness of context based computing. In the literature, we discover meaningful parallels between the assessment of context in cognition and computation which have implications for both fields of study. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-40972-1_4 | Lecture Notes in Artificial Intelligence |
Keywords | Field | DocType |
Context,Cognition,Artificial Intelligence | Experiential learning,Parallels,Marketing and artificial intelligence,Human intelligence,Context based,Viewpoints,Computer science,Cognitive science,Systems design,Artificial intelligence,Natural language processing,Cognition | Conference |
Volume | ISSN | Citations |
8175 | 0302-9743 | 4 |
PageRank | References | Authors |
0.49 | 11 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jeanne E. Parker | 1 | 5 | 0.86 |
| Debra L. Hollister | 2 | 4 | 0.83 |
| Avelino J. Gonzalez | 3 | 204 | 42.36 |
| Patrick Brézillon | 4 | 976 | 107.14 |
| Shane T. Parker | 5 | 7 | 1.27 |