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Dialogue‐Games: Metacommunication Structures for Natural Language Interaction *
Author(s) -
Levin James A.,
Moore James A.
Publication year - 1977
Publication title -
cognitive science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 1.498
H-Index - 114
eISSN - 1551-6709
pISSN - 0364-0213
ISBN - 0-934613-63-X
DOI - 10.1207/s15516709cog0104_2
Subject(s) - computer science , comprehension , set (abstract data type) , identification (biology) , natural (archaeology) , process (computing) , class (philosophy) , sequence (biology) , natural language , natural language understanding , cognitive science , artificial intelligence , human–computer interaction , psychology , history , botany , genetics , archaeology , biology , programming language , operating system
Our studies of naturally occurring human dialogue have led to the recognition of a class of regularities which characterize impoltant aspects of communication. People appear to interact according to established patterns which span several turns in a dialogue and which recur frequently. These patterns appear to be organized around the goals which the dialogue serves for each participant. Many things which are said later in a dialogue can only be interpreted as pursuit of these goals, established by earlier dialogue. These patterns have been represented b) a set of knowledge structures called Dialogue‐Games , capturing shared, conventional knowledge that people have about communication and how it can be used to achieve goals. A Dialogue‐Game has Parameters , which represent those elements that vary across instances of a particular pattern‐the particular dialogue participants and the content topic. The states of the world which must be in effect for a particular Dialogue‐Game to be employed successfully are represented by Specifications of these Parameters. Finally, the expected sequence of intermediate states that occur during instances of a particular conventional pattern are represented by the Components of the corresponding Dialogue‐Game. Representations for several Dialogue‐Games are presented here, based on our analyses of different kinds of naturally occurring dialogue. A process model is discussed, showing Dialogue‐Game identification, pursuit, and termination as part of the comprehension of dialogue utterances. This Dialogue‐Game model captures some of the important functional aspects of language, especially indirect uses to achieve implicit communication.