A01=Gary Bradshaw
A01=Robb Lovell
A01=Sriram Dayanand
A01=Thomas Shepherd
A01=William R. Uttal
artificial organism simulation model
Author_Gary Bradshaw
Author_Robb Lovell
Author_Sriram Dayanand
Author_Thomas Shepherd
Author_William R. Uttal
autonomous robotics
AVS
Boundary Pixel
Category=JMR
center
Closed Contours
Co-occurrence Matrix
Combining Algorithm
computational
computational psychology
Computer Vision System
Contour Enhancement
Conventional Mathematical Analysis
Data Set
De Pth
Edge Enhanced
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Gabor Filters
Gray Level
Hough Transform
integrated
Integrated Computational Model
Lo Ca
model
motor
navigation algorithms
ohio
Ohio Supercomputer Center
Pa Ce
Partial Derivatives
Path Planning
perceptual
perceptual decision making
Perceptual Motor System
Peripheral Devices
process
Relative Computational Efficiency
sensorimotor systems
Superb
supercomputer
system
Texture Segmenting
vision science
Product details
- ISBN 9781138990104
- Weight: 453g
- Dimensions: 152 x 229mm
- Publication Date: 26 Oct 2016
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
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This research monograph describes a large programming project in which an underwater organism, capable of perceiving, learning, deciding, and navigating, is computationally simulated. The developed computational model serves as a contemporary theory of perceptual-motor performance, embodying much of what is known about human vision and some of what is known about other cognitive processes. This artificial intelligence project has substantial contributions to make to the development of autonomous underwater vehicles. It also makes a specific theoretical statement about the organization and nature of organic perceptual motor systems that may be useful to psychologists, neuroscientists, and theoreticians in a number of other fields.
Uttal, William R.; Bradshaw, Gary; Dayanand, Sriram; Lovell, Robb; Shepherd, Thomas
