| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
A biologically plausible, neural-inspired planning approach which does not solve ‘The gourd, the monkey, and the rice’ puzzle
|
Mastrogiovanni, Fulvio
|
|
2012
|
2 |
C |
p. 77-87
11 p.
|
article
|
| 2 |
A computational agent model incorporating prior and retrospective ownership states for actions
|
Treur, Jan
|
|
2012
|
2 |
C |
p. 54-67
14 p.
|
article
|
| 3 |
A computational model of attentional learning in a cognitive agent
|
Faghihi, Usef
|
|
2012
|
2 |
C |
p. 25-36
12 p.
|
article
|
| 4 |
A general theoretical framework for designing cognitive architectures: Hybrid and meta-level architectures for BICA
|
Chella, A.
|
|
2012
|
2 |
C |
p. 100-108
9 p.
|
article
|
| 5 |
A neurocomputational approach to automaticity in motor skill learning
|
Gupta, Ashish
|
|
2012
|
2 |
C |
p. 1-12
12 p.
|
article
|
| 6 |
Assessing habitual use of dorsal versus ventral brain processes: The dorsal–ventral questionnaire
|
Kosslyn, Stephen M.
|
|
2012
|
2 |
C |
p. 68-76
9 p.
|
article
|
| 7 |
Editorial Board
|
|
|
2012
|
2 |
C |
p. IFC-
1 p.
|
article
|
| 8 |
Executive control of cognitive agents using a biologically inspired model architecture of the prefrontal cortex
|
Srinivasa, Narayan
|
|
2012
|
2 |
C |
p. 13-24
12 p.
|
article
|
| 9 |
Neural architectures for learning to answer questions
|
Monner, Derek
|
|
2012
|
2 |
C |
p. 37-53
17 p.
|
article
|
| 10 |
What can cognitive architectures do for robotics?
|
Kurup, Unmesh
|
|
2012
|
2 |
C |
p. 88-99
12 p.
|
article
|
Journal description