03688naaaa2200589uu 4500 oapen 20230518163635.0 m o d cr|mn|---annan 20220221s2021 engx |||||o ||||eng|| d 9780262363136 9780262045582 oapen oapen eng dc 004 McShane, Marjorie auth Linguistics for the Age of AI Cambridge The MIT Press 2021 1 electronic resource (448 p.) The MIT Press Open Access star Unrestricted online access A human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems. One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on applying statistical and machine learning approaches to big data rather than attempting to model what people do and how they do it. In this book, Marjorie McShane and Sergei Nirenburg return to the original goal of recreating human-level intelligence in a machine. They present a human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems that emphasizes meaning—the deep, context-sensitive meaning that a person derives from spoken or written language. With Linguistics for the Age of AI, McShane and Nirenburg offer a roadmap for creating language-endowed intelligent agents (LEIAs) that can understand,explain, and learn. They describe the language-understanding capabilities of LEIAs from the perspectives of cognitive modeling and system building, emphasizing “actionability”—which involves achieving interpretations that are sufficiently deep, precise, and confident to support reasoning about action. After detailing their microtheories for topics such as semantic analysis, basic coreference, and situational reasoning, McShane and Nirenburg turn to agent applications developed using those microtheories and evaluations of a LEIA's language understanding capabilities. McShane and Nirenburg argue that the only way to achieve human-level language understanding by machines is to place linguistics front and center, using statistics and big data as contributing resources. They lay out a long-term research program that addresses linguistics and real-world reasoning together, within a comprehensive cognitive architecture. Creative Commons by-nc-nd/4.0 cc English Искусственный интеллект 4518 Natural language understanding Computational semantics Intelligent agents Cognitive modelling Artificial intelligence Language-endowed intelligent agents Natural language processing Language-endowed intelligent agent systems Linguistic and extralinguistic scope Actionability Explanation Theory and methodology Knowledge bases Incrementality Microtheories Pre-semantic analysis Anaphoric event coreference Residual ambiguities Incongruities Underspecification Nirenburg, Sergei auth 4582 The MIT Press www.oapen.org https://directory.doabooks.org/handle/20.500.12854/78608 0 Description 4 Darya Shvetsova udc EE 6539 6539 0 0 udc 0 0 PROG BUT BUT DOAB 2023-05-03 0 004 T44 1010837 2023-05-03 00:00:00 2023-05-03 EE <a href="https://doi.org/10.7551/mitpress/13618.001.0001" target="_blank" class="readlink">Download (pdf)</a>