ACM Computing Surveys (CSUR)
Analysis of natural scenes.
An environment and system for machine understanding of connected speech.
An environment and system for machine understanding of connected speech.
Multiprocess software architecture for artificial intelligence problem solving.
Multiprocess software architecture for artificial intelligence problem solving.
IEEE Transactions on Computers
Recent developments in SAIL: an ALGOL-based language for artificial intelligence
AFIPS '72 (Fall, part II) Proceedings of the December 5-7, 1972, fall joint computer conference, part II
A new minicomputer/multiprocessor for the ARPA network
AFIPS '73 Proceedings of the June 4-8, 1973, national computer conference and exposition
A multi-level organization for problem solving using many, diverse, cooperating sources of knowledge
IJCAI'75 Proceedings of the 4th international joint conference on Artificial intelligence - Volume 1
The hearsay speech understanding system: an example of the recognition process
IJCAI'73 Proceedings of the 3rd international joint conference on Artificial intelligence
A distributed approach for multiple model diagnosis of physical systems
Information Sciences: an International Journal
A parallel implementation of iterative-deepening-A
AAAI'87 Proceedings of the sixth National conference on Artificial intelligence - Volume 1
A parallel implementation of iterative-deepening-A
AAAI'87 Proceedings of the sixth National conference on Artificial intelligence - Volume 1
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The Hearsay II speech-understanding system (HSII) (Lesser et al. [11], Fennell [9], and Erman and Lesser [6]) is an implementation of a knowledge-based multiprocessing artificial intelligence (AI) problem-solving organization. HSII is intended to represent a problem-solving organization which is applicable for implementation in a parallel hardware environment such as C.mmp (Bell et al. [2]). The primary characteristics of this organization include: 1) multiple, diverse, independent and asynchronously executing knowledge sources (KS's), 2) cooperating (in terms of control) via a generalized form of the hypothesize-and-test paradigm involving the data-directed invocation of KS processes, and 3) communicating (in terms of data) via a shared blackboard-like data base in which the current data state is held in a homogeneous, multidimensional, directed-graph structure. The object of this paper is to explore several of the ramifications of such a problem-solving organization by examining the mechanisms and policies underlying HSII which are necessary for supporting its organization as a multiprocessing system. In addition, a multiprocessor simulation study is presented which details the effects of actually implementing such a parallel organization for use in a particular application area, that of speech understanding.