@article {16028,
	title = {Metareasoning for More Effective Human-Computer Dialogue},
	year = {2002},
	month = {2002/12/31/},
	institution = {University of Maryland, College Park},
	abstract = {The research project explores specific meta-dialogue behaviors in terms of both how a system could be made to perform them, and to what extent they can increase overall system performance. We focus on two types of meta-dialogue capabilities: ability to detect and recover from anomalous dialogue patterns in simple exchanges, and on-line extensions or changes to working vocabulary. Our main method involves detailed representation of the dialogue context, separating domain, language, and dialogue specific aspects, and significant amounts of meta-reasoning about the system{\textquoteright}s processing of these representations. An existing logical inference system, ALMA/CARNE, developed as part of a pilot study, is being used in an implementation phase of this work. We are also engaged in a study of existing dialogue corpora to investigate the range and frequency of meta-dialogue expressions in different task domains.},
	keywords = {*LEARNING MACHINES, COMPUTER LOGIC, COMPUTER PROGRAMMING AND SOFTWARE, CYBERNETICS, MAN COMPUTER INTERFACE, METAREASONING, NATURAL LANGUAGE., PROCESSING},
	url = {http://stinet.dtic.mil/oai/oai?\&verb=getRecord\&metadataPrefix=html\&identifier=ADA414209},
	author = {Perlis, Don and Anderson,Mike}
}
@book {15513,
	title = {Logic-Based Artificial Intelligence},
	year = {2000},
	month = {2000/12/01/},
	publisher = {Springer},
	organization = {Springer},
	abstract = {This landmark volume represents the culmination of over 40 years of research in the use of logic as a basis for representing and manipulating problems in the field of artificial intelligence. The use of logic as a basis for commonsense reasoning was started by John McCarthy in 1959. The collection consists of both original research and surveys of almost every subject that uses logic in AI, contributed by leading scientists, and grew out of preliminary work presented at the Workshop on Logic-Based Artificial Intelligence held in Washington, DC, June 1999. All papers have been extensively refereed and revised.  The introductory article presents background on research that has transpired since 1959 and discusses the significance of each chapter in this context. The topics covered in the book are commonsense reasoning, knowledge representation, nonmonotonic reasoning, logic for causation and actions, planning and problem solving, cognitive robotics, logic for agents and actions, inductive reasoning, possibilistic logic, logic and beliefs, logic and language, computational logic, knowledge base system implementations, and applications of theorem proving and logic programming.  Logic-Based Artificial Intelligence is invaluable to graduate students and researchers in artificial intelligence, and advanced methods for database and knowledge base systems. Logic-Based Artificial Intelligence will also be of interest to those applying theorem proving methods to problems in program and hardware verification, to those who deal with large knowledge base systems, those developing cognitive robotics, and for those interested in the solution of McCarthy{\textquoteright}s 1959 "oldest planning problem in AI: getting from home to the airport".},
	keywords = {Artificial intelligence, COMPUTER LOGIC, Computers / Computer Science, Computers / Intelligence (AI) \& Semantics, Logic, Symbolic and mathematical, Mathematics / Logic, Medical / General},
	isbn = {9780792372240},
	author = {Minker, Jack}
}
@article {15535,
	title = {Deductive Databases and Knowledge Base Systems.},
	year = {1995},
	month = {1995/03/31/},
	institution = {Department of Computer Science, University of Maryland, College Park},
	abstract = {The following sections describe the research that has been accomplished during the entire grant period form September 1, 1991 to March 31, 1995, with partial support from the Air Force Office of Scientific Research and summarizes the papers, prototype systems and theses produced on the grant. Several major areas will be discussed. These are Cooperative Databases Systems, Combining Knowledge Base Systems, Disjunctive Deduction Databases, Extensions to the Semantics of Logic Programming and Parallel Logic Programming. During the first year of the grant we emphasized theoretical aspects of work in deductive databases and knowledge base systems. During the second year we stressed the development of tools and techniques to transfer the theory into practical systems. During the third year we developed prototype systems and experiments with them. Technological developments were made in Cooperative Database Systems and Disjunctive Deductive Databases. New theoretical developments were achieved in the Semantics of Logic Programming and in Combining Databases.},
	keywords = {*DATA BASES, *KNOWLEDGE BASED SYSTEMS, *RESEARCH MANAGEMENT, *SYSTEMS ENGINEERING, AIR FORCE RESEARCH, COMPUTER LOGIC, COMPUTER PROGRAMMING, COMPUTER PROGRAMMING AND SOFTWARE, COMPUTER SYSTEMS, logic programming, PARALLEL LOGIC PROGRAMMING, PARALLEL PROCESSING, Prototypes, semantics, THESES, TRANSFER., WUAFOSR2304GS},
	url = {http://stinet.dtic.mil/oai/oai?\&verb=getRecord\&metadataPrefix=html\&identifier=ADA295498},
	author = {Minker, Jack}
}
