对话
具身认知
侵略
背景(考古学)
认知
认知科学
心理学
领域(数学分析)
灵活性(工程)
计算机科学
认知心理学
沟通
人工智能
社会心理学
神经科学
历史
考古
数学分析
统计
数学
作者
Tibor Bosse,Simon Provoost
标识
DOI:10.1007/978-3-319-25524-8_48
摘要
Traditionally, Embodied Conversational Agents communicate with humans using dialogue systems based on conversation trees. To enhance the flexibility and variability of dialogues, this paper proposes an approach to integrate conversation trees with cognitive models. The approach is illustrated by a case study in the domain of aggression de-escalation training, and a preliminary evaluation in the context of a practical application is presented.
科研通智能强力驱动
Strongly Powered by AbleSci AI