Causality, Responsibility and Blame in Team Plans

Causality, Responsibility and Blame in Team Plans
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团队计划中的因果关系、责任和指责

DOI:
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发表时间:
2017
期刊:
Adaptive Agents and Multi-Agent Systems
影响因子:
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通讯作者:
B. Logan
B. Logan
中科院分区:
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文献类型:
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作者:
N. Alechina;Joseph Y. Halpern;B. Logan

文献摘要

被引文献

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许多目标只能通过一组执行团队计划的代理人来实现(或可能更有效地实现)。如果一个团队计划失败了,确定失败的原因、每个代理人对失败的责任程度以及每个代理人的责任程度通常是有意义的。我们展示了如何用结构方程来表示团队计划,然后应用Halpern [2015]引入的因果关系定义以及Chockler和Halpern [2004]引入的责任和责备程度来确定导致失败的代理人以及他们的责任/责备程度。我们还证明了新的结果计算因果关系和程度的责任和责备的复杂性,表明它们可以在多项式时间内确定许多团队计划的利益。
Many objectives can be achieved (or may be achieved more effectively) only by a group of agents executing a team plan. If a team plan fails, it is often of interest to determine what caused the failure, the degree of responsibility of each agent for the failure, and the degree of blame attached to each agent. We show how team plans can be represented in terms of structural equations, and then apply the definitions of causality introduced by Halpern [2015] and degree of responsibility and blame introduced by Chockler and Halpern [2004] to determine the agent(s) who caused the failure and what their degree of responsibility/blame is. We also prove new results on the complexity of computing causality and degree of responsibility and blame, showing that they can be determined in polynomial time for many team plans of interest.