Title
A model for multimodal humanlike perception based on modular hierarchical symbolic information processing, knowledge integration, and learning
Abstract
Automatic surveillance systems as well as autonomous robots are technical systems which would profit from the ability of humanlike perception for effective, efficient, and flexible operation. In this article, a model for humanlike perception is introduced based on hierarchical modular fusion of multi-sensory data, symbolic information processing, integration of knowledge and memory, and learning. The model is inspired by findings from neuroscience. Information from diverse sensors is transformed into symbolic representations and processed in parallel in a modular, hierarchical fashion. Higher-level symbolic information is gained by combination of lower-level symbols. Feedbacks from higher levels to lower levels are possible. Relations between symbols can be learned from examples. Stored knowledge influences the activation of symbols. The model and the underlying concepts are explained by means of a concrete example taken from building automation.
Year
DOI
Venue
2007
10.1109/BIMNICS.2007.4610105
BIONETICS
Keywords
Field
DocType
knowledge representation,learning (artificial intelligence),sensor fusion,surveillance,automatic surveillance system,autonomous robots,building automation,feedback,hierarchical modular fusion,knowledge integration,learning,modular hierarchical symbolic information processing,multimodal humanlike perception,multisensory data fusion,neuroscience,parallel processing,symbolic representation,Bionics,Building Automation,Humanlike Perception,Knowledge-based Systems,Learning,Multisensory Integration,Symbolic Information Processing
Knowledge representation and reasoning,Knowledge integration,Information processing,Computer science,Visualization,Knowledge-based systems,Sensor fusion,Artificial intelligence,Modular design,Perception,Machine learning
Conference
ISBN
Citations 
PageRank 
978-963-9799-05-9
4
0.55
References 
Authors
7
1
Name
Order
Citations
PageRank
Rosemarie Velik1455.87