Teaching social behavior through human reinforcement for ad hoc teamwork-the star framework

Shani Alkoby, Avilash Rath, Peter Stone

פרסום מחקרי: פרק בספר / בדוח / בכנספרסום בספר כנסביקורת עמיתים

7 ציטוטים ‏(Scopus)

תקציר

As AI technology continues to develop, more and more agents will become capable of long term autonomy alongside people. Thus, a recent line of research has studied the problem of teaching autonomous agents the concept of ethics and human social norms. Most existing work considers the case of an individual agent attempting to learn a predefined set of rules. In reality however, social norms are not always pre-defined and are very difficult to represent algorithmically. Moreover, the basic idea behind the social norms concept is ensuring that one's actions do not negatively influence others' utilities, which is inherently a multiagent concept. Thus, here we investigate a way to teach agents, as a team, how to act according to human social norms. In this research, we introduce the star framework used to teach an ad hoc team of agents to act in accordance with human social norms. Using a hybrid team (agents and people), when taking an action considered to be socially unacceptable, the agents receive negative feedback from the human teammate(s) who has(have) an awareness of the team's norms. We view star as an important step towards teaching agents to act more consistently with respect to human morality.

שפה מקוריתאנגלית
כותר פרסום המארח18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019
עמודים1773-1775
מספר עמודים3
מסת"ב (אלקטרוני)9781510892002
סטטוס פרסוםפורסם - 2019
פורסם באופן חיצוניכן
אירוע18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019 - Montreal, קנדה
משך הזמן: 13 מאי 201917 מאי 2019

סדרות פרסומים

שםProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
כרך3
ISSN (מודפס)1548-8403
ISSN (אלקטרוני)1558-2914

כנס

כנס18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019
מדינה/אזורקנדה
עירMontreal
תקופה13/05/1917/05/19

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