Prospective Responsibility for Multi-agent Systems

被引:1
作者
Collenette, Joe [1 ]
Dennis, Louise [1 ]
Fisher, Michael [1 ]
机构
[1] Univ Manchester, Dept Comp Sci, Manchester, England
来源
ARTIFICIAL INTELLIGENCE XL, AI 2023 | 2023年 / 14381卷
基金
英国工程与自然科学研究理事会;
关键词
Multi-agent Systems; Responsibility; Decision Making;
D O I
10.1007/978-3-031-47994-6_23
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The notion of 'responsibility' as a higher-level construct that dynamically impacts each agent's goals, priorities and actions is very appealing, especially since humans regularly use such concepts in everyday reasoning. In this paper we describe a new model of responsibilities that is philosophically-grounded. We identify traits from the philosophical literature to model, focusing on prospective responsibility and task responsibility. These responsibilities comprise heterogeneous entities, including tasks to be completed, properties that need to be maintained, and sub-responsibilities that need to be fulfilled.
引用
收藏
页码:247 / 252
页数:6
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