@article {14921,
	title = {The Maryland Large-Scale Integrated Neurocognitive Architecture},
	year = {2008},
	month = {2008/03//},
	institution = {University of Maryland College Park},
	abstract = {Recent progress in neural computation, high performance computing, neuroscience and cognitive science suggests that an effort to produce a general-purpose, adaptive machine intelligence is likely to yield a qualitatively more powerful system than those currently existing. Here we outline our progress in developing a framework for creating such a large-scale machine intelligence, or neurocognitive architecture that is based on the modularity, dynamics and plasticity of the human brain. We successfully implemented three intermediate-scale parts of such a system, and these are described. Based on this experience, we concluded that for the short term, optimal results would be obtained by using a hybrid design including neural, symbolic AI, and artificial life methods. We propose a three-tiered architecture that integrates these different methods, and describe a prototype mini-Roboscout that we implemented and evaluated based on this architecture. We also examined, via computational experiments, the effectiveness of genetic programming as a design tool for recurrent neural networks, and the speed-up obtained for adaptive neural networks when they are executed on a graphical processing unit. We conclude that the implementation of a large-scale neurocognitive architecture is feasible, and outline a roadmap for proceeding.},
	keywords = {*COMPUTATIONS, *HYBRID SYSTEMS, *NEURAL NETS, *NEUROCOGNITIVE ARCHITECTURE, ADAPTIVE SYSTEMS, Artificial intelligence, BRAIN, Cognition, COMPUTER PROGRAMMING, COMPUTER PROGRAMMING AND SOFTWARE, HYBRID AI, Machine intelligence, MECHANICAL ORGANS, MODULAR CONSTRUCTION, NERVOUS SYSTEM, PE61101E, PLASTIC PROPERTIES, PROCESSING EQUIPMENT, RECURRENT NEURAL NETWORK},
	url = {http://stinet.dtic.mil/oai/oai?\&verb=getRecord\&metadataPrefix=html\&identifier=ADA481261},
	author = {Reggia, James A. and Tagamets,M. and Contreras-Vidal,J. and Jacobs, David W. and Weems,S. and Naqvi,W. and Yang,C.}
}
@article {15014,
	title = {Parallel Algorithms for Wiring Module Pins to Frame Pads},
	year = {1988},
	month = {1988///},
	institution = {Institute for Systems Research, University of Maryland, College Park},
	abstract = {We present fast and efficient parallel algorithms for several problems related to wiring a set of pins on a module to a set of pads lying on the houndary of a chip. The one-layer model is used to perform the wiring. Our basic model of parallel processing is the CREW-PRAM model which is characterized by the presence of an unlimited number processors sharing the main memory. Concurrent reads are allowed while concurrent writes are not. All our algorithms use 0(n) processors, where n is the input length. Our algorithms have fast implementations on other parallel models such as the mesh or the hypercube.},
	keywords = {*ALGORITHMS, *PARALLEL PROCESSING, COMPUTER PROGRAMMING AND SOFTWARE, efficiency, INPUT, LAYERS, length, MEMORY DEVICES, MODELS, MODULAR CONSTRUCTION, NUMERICAL MATHEMATICS, PARALLEL ORIENTATION, PINS, WIRE},
	url = {http://stinet.dtic.mil/oai/oai?\&verb=getRecord\&metadataPrefix=html\&identifier=ADA452383},
	author = {Chang,Shing-Chong and JaJa, Joseph F.}
}
@article {13842,
	title = {Principle-Based Parsing for Machine Translation},
	year = {1987},
	month = {1987/12//},
	institution = {MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB},
	abstract = {Many syntactic parsing strategies for machine translation systems are based entirely on context-free grammars. These parsers require an overwhelming number of rules; thus, translation systems using rule-based parsers either have limited linguistic coverage, or they have poor performance due to formidable grammar size. This report shows how a principle-based parser with a co-routine design improves parsing for translation. The parser consists of a skeletal structure-building mechanism that operates in conjunction with a linguistically based constraint module, passing control back and forth until a set of underspecified skeletal phrase-structures is converted into a fully instantiated parse tree. The modularity of the parsing design accommodates linguistic generalization, reduces the grammar size, allows extension to other languages, and is compatible with studies of human language processing. Keywords: Natural language processing, Interlingual translation, Parsing, Subroutines, Principles vs. Rules, Co-routine design, Linguistic constraints.},
	keywords = {*MACHINE TRANSLATION, *PARSERS, *SYNTAX, CONTROL, COROUTINE DESIGN, CYBERNETICS, grammars, HUMANS, LANGUAGE, linguistics, MODULAR CONSTRUCTION, natural language, PRINCIPLES BASED PARSERS, PROCESSING, STRATEGY, SUBROUTINES},
	url = {http://stinet.dtic.mil/oai/oai?\&verb=getRecord\&metadataPrefix=html\&identifier=ADA199183},
	author = {Dorr, Bonnie J}
}
