Alle Publikationen
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2018
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(2018) : A Computational Framework for Integrating Task Planning and Norm Aware Reasoning for Social Robots: 2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN): Nanjing, China: IEEE Robotics & Automation Society, S. 282-287
DOI: https://doi.org/10.1109/ROMAN.2018.8525577 Abstract: Autonomous robots are envisioned to increasingly become part of our lives in the house, restaurants, hospitals and offices. Additionally, self-driving cars will be soon appearing in city streets and highways and they will have to interact with cars driven by humans as well as other self-driving cars. In these settings the robots not only need to efficiently perform their tasks but also be able to interact with humans in socially appropriate ways. To accomplish this, robots must be able to reason not only on how to perform their tasks, but also incorporate societal values, social norms and legal rules so they can gain human acceptability and trust. Moreover, interactions with these robots will be long term. Long-term human interaction with robots as well as robot combined reasoning about both tasks and social norms generate multiple modeling and computational challenges. In this paper, we address one of the most important of these challenges, namely what is an appropriate and scalable computational framework that enables simultaneous task and normative reasoning. In particular, we report on our work on a novel computational framework, Modular Normative Markov Decision Processes (MNMDP) that integrates reasoning for domain tasks and normative reasoning for long-term autonomy. The MNMDP framework applies normative reasoning considering only the norms that are activated in appropriate contexts, rather than considering the full set of norms, thus significantly reducing computational complexity. The model modularity is also advantageous for long-term human-robot interaction. We present computational experiments that show significant computational improvements as compared with a base Normative Markov Decision Process (MDP) framework that includes the full set of norms.
Keywords: Angemessen(heit) (von Technik), Autonomous automobiles, autonomous robots, Cognition, Computational complexity, Decision theory, human acceptability, human-robot interaction, ieee xplore, inference mechanisms, knowledge based systems, long-term human interaction, Markov processes, MNMDP framework, Mobile robots, modular normative Markov decision processes, norm aware reasoning, normative Markov decision process framework, Normative reasoning, path planning, Planning, robot combined reasoning, self-driving cars, Social Norms, social robots, societal values, Task Analysis, task planning 2016
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(2016): Children’s evaluations of rule violators. In: Cognitive Development 40, S. 132-143. DOI: 10.1016/j.cogdev.2016.09.001
Abstract: Children show remarkable sensitivity to others’ conformity to conventional norms. The present research examined how this sensitivity is reflected in preschool-aged (4- and 5- year-old; N = 45) and young school-aged (7- and 8-year-old; N = 45) children’s evaluations of people who violate rules. In two studies, children were made to believe they were playing a game against real, online opponents. Opponents either conformed to or violated the rules of the game, and their actions produced either positive or negative outcomes for the child. Children evaluated each opponent on a set of interaction, affiliation, and learning questions. Preschool-aged children’s evaluations primarily depended on whether or not people violated the rules, regardless of the circumstances of their violations. Young school-aged children’s social evaluations, however, were also influenced by the helpfulness or harmfulness of the violators’ actions. zitiert von 3
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