Name
Abstract | ||
|---|---|---|
Intelligence can be argued to result from a complex interplay of learning, reasoning, memory, and other higher level functions, however, the survivability of biological systems ultimately depends on timely actions which are a manifestation of these higher level processes. For cognitive systems to succeed anticipating what would come next (i.e., being “one step ahead”) and deriving when to act and how to prioritize actions is as critical, and mostly likely, integrated with, the higher level sense-making processes. In this paper, we propose a biologically motivated model of execution control, called Nexting, which is founded in current understanding of such processes in biological systems. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.3233/978-1-60750-661-4-170 | BICA |
Keywords | Field | DocType |
execution control,higher level,higher level function,complex interplay,biologically motivated model,biological system,current understanding,cognitive system,higher level process,timely action | Survivability,Computer science,Cognitive systems,Execution control,Artificial intelligence,Machine learning | Conference |
Volume | ISSN | Citations |
221 | 0922-6389 | 1 |
PageRank | References | Authors |
0.38 | 3 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Akshay Vashist | 1 | 176 | 12.64 |
| Shoshana Loeb | 2 | 68 | 84.51 |