Title
An efficient feature-based connectionist inheritance scheme
Abstract
A connectionist model that deals with the inheritance problem in an efficient and natural way is described. Based on the connectionist architecture CONSYDERR, the author analyses the problem of property inheritance and formulates it in ways facilitating conceptual clarity and connectionist implementation. A set of benchmarks is specified for ensuring the correctness of solution mechanisms. Parameters of CONSYDERR are formally derived to satisfy these benchmark requirements. The author also discusses how chaining of is-a links and multiple inheritance can be handled in this architecture. It is shown that CONSYDERR with a two-level dual (localist and distributed) representation can handle inheritance and cancellation of inheritance correctly and extremely efficiently, in constant time instead of proportional to the length of a chain in an inheritance hierarchy. The utility of a meaning-oriented intensional approach (with features) is demonstrated for supplementing and enhancing extensional approaches
Year
DOI
Venue
1993
10.1109/21.229463
IEEE Transactions on Systems, Man and Cybernetics
Keywords
Field
DocType
is-a link chaining,benchmarks,parallel architectures,meaning-oriented intensional approach,multiple inheritance,localist representation,consyderr,connectionist architecture,efficient feature-based connectionist inheritance scheme,inheritance,two-level dual representation,distributed representation,inheritance cancellation,extensional approaches,neural nets,inheritance hierarchy,satisfiability
Architecture,Chaining,CLARITY,Computer science,Correctness,Theoretical computer science,Artificial intelligence,Systems architecture,Artificial neural network,Connectionism,Machine learning,Multiple inheritance
Journal
Volume
Issue
ISSN
23
2
0018-9472
Citations 
PageRank 
References 
7
1.50
10
Authors
1
Name
Order
Citations
PageRank
Rong Sun1145.64