Title :
Less is more: using Grice´s maxim of quantity to generate instructional text
Author :
Young, R. Michael
Author_Institution :
Intelligent Syst. Program, Pittsburgh Univ., PA, USA
Abstract :
Plans produced by AI planning systems have the potential to serve as the underlying action representation for systems that generate instructional texts. However, there is more detail in even the simplest, of plan data structures than there is in a typical plan description used by people. This paper describes an operational definition of Grice´s (1975) maxim of quantity that guides the selection of appropriate amounts of detail to appear in a textual description of a plan
Keywords :
intelligent tutoring systems; planning (artificial intelligence); AI planning systems; detail; instructional text generation; quantity maxim; underlying action representation; Artificial intelligence; Computational modeling; Computer aided instruction; Context; Data structures; Humans; Intelligent systems; Manuals; Production systems; Tail;
Conference_Titel :
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-4053-1
DOI :
10.1109/ICSMC.1997.635339
