BibSonomy publications for /user/diego_ma/AIFri Dec 14 02:48:00 CET 2007June76Warplan: A System for Generating Plans1974AI Fri Dec 14 02:46:47 CET 2007IBM Systems Journal3331-349Architectures for Intelligent Systems412002AI People communicate with each other in sentences that incorporate two kinds of information: propositions about some subject, and metalevel speech acts that specify how the propositional information is used?as an assertion, a command, a question, or a promise. By means of speech acts, a group of people who have different areas of expertise can cooperate and dynamically reconfigure their social interactions to perform tasks and solve problems that would be difficult or impossible for any single individual. This paper proposes a framework for intelligent systems that consist of a variety of specialized components together with logic-based languages that can express propositions and speech acts about those propositions. The result is a system with a dynamically changing architecture that can be reconfigured in various ways: by a human knowledge engineer who specifies a script of speech acts that determine how the components interact; by a planning component that generates the speech acts to redirect the other components; or by a committee of components, which might include human assistants, whose speech acts serve to redirect one another. The components communicate by sending messages to a Linda-like blackboard, in which components accept messages that are either directed to them or that they consider themselves competent to handle.Fri Dec 14 02:46:45 CET 2007Information Processing \& Management3189-222Artificial Intelligence in Information Retrieval Systems121976AI inf_retrieval Fri Dec 14 02:46:35 CET 2007Artificial Intelligence Techniques in Prolog1994AI prolog Fri Dec 14 02:44:18 CET 2007\myurl{http://www.signiform.com/tt/htm/overview.htm}ThoughtTreasure: A Natural Language/Commonsense Platform1999AI ThoughtTreasure No abstractFri Dec 14 02:44:17 CET 2007\myurl{http://arXiv.org/abs/cs/0003003}Prospects for In-depth Story Understanding by Computer2000AI NLP While much research on the hard problem of in-depth story understanding by computer was performed starting in the 1970s, interest shifted in the 1990s to information extraction and word sense disambiguation. Now that a degree of success has been achieved on these easier problems, I propose it is time to return to in-depth story understanding. In this paper I examine the shift away from story understanding, discuss some of the major problems in building a story understanding system, present some possible solutions involving a set of interacting understanding agents, and provide pointers to useful tools and resources for building story understanding systems. Fri Dec 14 02:43:08 CET 2007Machine IntelligenceSome Philosophical Problems from the Standpoint of Artificial Intelligence41969AI situation_theory Fri Dec 14 02:43:07 CET 2007Norwood, NJFormalizing Common Sense70-76An Example for Natural Language Understanding and the {AI} Problems it Raises1976AI No abstractFri Dec 14 02:43:05 CET 2007Communications of the {ACM}Also in \myurl{http://www-formal.stanford.edu/jmc/}121030-1035Generality in Artificial Intelligence301987AI Fri Dec 14 02:42:21 CET 2007Artificial IntelligenceIntelligent Internet Systems2000web AI The astonishing growth of the Internet is the first sign that every aspect of our economy and society are likely to change. Yet for people to realize the vast promise of networked computing, Internet applications must become dramatically more powerful and easier to use. Artificial Intelligence (AI) technology holds the key to these futuristic applications with the promise of advanced features, adaptive functionality and intuitive interfaces. We group Internet applications into four categories: 1) user modeling, 2) discovery and analysis of remote information sources, 3) information integration, and 4) web-site management. The seven papers in this special issue represent some of the latest and most exciting research in three of the four categories. This introduction attempts to place the special-issue papers in context, but we caution readers that the field is too young and moving too quickly for a comprehensive survey article.Fri Dec 14 02:42:20 CET 2007Special issue of LNAI: Artificial Intelligence Today; RecentTrends and DevelopmentsCombining Artificial Intelligence and Databases for Data Integration1999AI Data integration is a problem at the intersection of the fields of Artificial Intelligence and Database Systems. The goal of a data integration system is to provide a uniform interface to a multitude of data sources, whether they are within one enterprise or on the World-Wide Web. The key challenges in data integration arise because the data sources being integrated have been designed independently for autonomous applications, and their contents are related in subtle ways. As a result, a data integration system requires rich formalisms for describing contents of data sources and relating between contents of different sources. This paper discusses works aimed at applying techniques from...Fri Dec 14 02:42:03 CET 2007To appear in: Jurgen Allgayer (ed), Proc. of the Workshop on Plurals and Quantifiers, GWAISyntactic and Semantic Conditions for Quantifier Scope1990quantification syntax semantics anaphora AI Fri Dec 14 02:41:11 CET 2007October86-63Discourse, Anaphora and Parsing1986DRT logic_programming AI discourse Fri Dec 14 02:41:04 CET 2007IBM Systems JournalTechnical forum3An Architecture of Diversity for Commonsense Reasoning412002AI Fri Dec 14 02:36:27 CET 2007IBM Systems JournalTechnical forum3Machine Intelligence and the Turing Test412002AI