COOPERATIVE PROBLEM-SOLVING AND EXPLANATION

被引：18
作者：
KARSENTY, L
BREZILLON, PJ
机构：
[1] UNIV PARIS 06,LAFORIA,PARIS,FRANCE
[2] CNAM,ERGON LAB,PARIS,FRANCE
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 1995年 / 8卷 / 04期
关键词：
D O I：
10.1016/0957-4174(94)E0035-S
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Recent studies have pointed out several limitations of expert systems regarding user needs, and have introduced the concepts of cooperation and joint cognitive systems. While research on explanation generation by expert systems has been widely developed, there has been little consideration of explanation in relation to cooperative systems. Our aim is to elaborate a conceptual framework for studying explanation in cooperation. This work relies heavily on the study of human-human cooperative dialogues. We present our results according to Two dimensions; namely, the relation between explanation and problem solving, and the explanation process itself Finally, we discuss the implications of these results for the design of cooperative systems.
引用
收藏
页码：445 / 462
页数：18
相关论文
共 57 条
  • [1] ANALYZING INTENTION IN UTTERANCES
    ALLEN, JF
    PERRAULT, CR
    [J]. ARTIFICIAL INTELLIGENCE, 1980, 15 (03) : 143 - 178
  • [2] ALVAREZ I, 1992, P ECAI WORKSHOP IMPR, P57
  • [3] BAKER M, 1992, OCT P NATO WORKSH NA
  • [4] BAKER M, 1993, P WORKSHOP EXPLANATI
  • [5] Belkin N. J., 1988, 11th International Conference on Research and Development in Information Retrieval, P135
  • [6] BREZILLON P, 1994, MAR P INT C EXP SYST
  • [7] BREZILLON P, 1992, P IJCAI WORKSHOP IMP, P65
  • [8] CAHOUR B, 1993, COGNITIVE PROCESSING
  • [9] CAHOUR B, 1993, AUG P IJCAI 93 WORKS, P20
  • [10] CARR C, 1992, AI EXPERT MAY, P44
123456