Alle Publikationen
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2018
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(2018): An architecture for ethical robots inspired by the simulation theory of cognition. In: COGNITIVE SYSTEMS RESEARCH 48, S. 56-66. DOI: 10.1016/j.cogsys.2017.04.002
DOI: https://doi.org/10.1016/j.cogsys.2017.04.002 Abstract: The expanding ability of robots to take unsupervised decisions renders it imperative that mechanisms are in place to guarantee the safety of their behaviour. Moreover, intelligent autonomous robots should be more than safe; arguably they should also be explicitly ethical. In this paper, we put forward a method for implementing ethical behaviour in robots inspired by the simulation theory of cognition. In contrast to existing frameworks for robot ethics, our approach does not rely on the verification of logic statements. Rather, it utilises internal simulations which allow the robot to simulate actions and predict their consequences. Therefore, our method is a form of robotic imagery. To demonstrate the proposed architecture, we implement a version of this architecture on a humanoid NAO robot so that it behaves according to Asimov’s laws of robotics. In a series of four experiments, using a second NAO robot as a proxy for the human, we demonstrate that the Ethical Layer enables the robot to prevent the human from coming to harm in simple test scenarios. (PsycINFO Database Record (c) 2019 APA, all rights reserved)
2016
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(2016): Programming machine ethics. Cham: Springer International Publishing (Studies in applied philosophy, epistemology and rational ethics)
DOI: https://doi.org/10.1007/978-3-319-29354-7 Abstract: This book addresses the fundamentals of machine ethics. It discusses abilities required for ethical machine reasoning and the programming features that enable them. It connects ethics, psychological ethical processes, and machine implemented procedures. From a technical point of view, the book uses logic programming and evolutionary game theory to model and link the individual and collective moral realms. It also reports on the results of experiments performed using several model implementations. Opening specific and promising inroads into the terra incognita of machine ethics, the authors define here new tools and describe a variety of program-tested moral applications and implemented systems. In addition, they provide alternative readings paths, allowing readers to best focus on their specific interests and to explore the concepts at different levels of detail. Mainly written for researchers in cognitive science, artificial intelligence, robotics, philosophy of technology and engineering of ethics, the book will also be of general interest to other academics, undergraduates in search of research topics, science journalists as well as science and society forums, legislators and military organizations concerned with machine ethics (PsycINFO Database Record (c) 2016 APA, all rights reserved)
2010
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(2010): A conceptual and computational model of moral decision making in human and artificial agents. In: Topics in cognitive science 2 (3), S. 454-485. DOI: 10.1111/j.1756-8765.2010.01095.x
DOI: https://doi.org/10.1111/j.1756-8765.2010.01095.x Abstract: Recently, there has been a resurgence of interest in general, comprehensive models of human cognition. Such models aim to explain higher‐order cognitive faculties, such as deliberation and planning. Given a computational representation, the validity of these models can be tested in computer simulations such as software agents or embodied robots. The push to implement computational models of this kind has created the field of artificial general intelligence (AGI). Moral decision making is arguably one of the most challenging tasks for computational approaches to higher‐order cognition. The need for increasingly autonomous artificial agents to factor moral considerations into their choices and actions has given rise to another new field of inquiry variously known as Machine Morality, Machine Ethics, Roboethics, or Friendly AI. In this study, we discuss how LIDA, an AGI model of human cognition, can be adapted to model both affective and rational features of moral decision making. Using the LIDA model, we will demonstrate how moral decisions can be made in many domains using the same mechanisms that enable general decision making. Comprehensive models of human cognition typically aim for compatibility with recent research in the cognitive and neural sciences. Global workspace theory, proposed by the neuropsychologist Bernard Baars (1988), is a highly regarded model of human cognition that is currently being computationally instantiated in several software implementations. LIDA (Franklin, Baars, Ramamurthy, & Ventura, 2005) is one such computational implementation. LIDA is both a set of computational tools and an underlying model of human cognition, which provides mechanisms that are capable of explaining how an agent’s selection of its next action arises from bottom‐up collection of sensory data and top‐down processes for making sense of its current situation. We will describe how the LIDA model helps integrate emotions into the human decision‐making process, and we will elucidate a process whereby an agent can work through an ethical problem to reach a solution that takes account of ethically relevant factors. (PsycINFO Database Record (c) 2016 APA, all rights reserved)
Keywords: artificial general intelligence, Artificial intelligence, Cognition, computational model, Computational modeling, Computer Simulation, conceptual model, Decision Making, global workspace theory, Humans, intelligent agents, machine ethics, Machine morality, MODELS, Moral & Ethik, moral decision making, Morality, Morals, Psychological 2009
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(2009) : An artificial neural network approach for creating an ethical artificial agent: 2009 IEEE International Symposium on Computational Intelligence in Robotics and Automation - (CIRA): Daejeon, Korea: IEEE, S. 290-295
DOI: https://doi.org/10.1109/CIRA.2009.5423190 Abstract: Autonomous robotic systems and intelligent artificial agents’ capability have advanced dramatically. Since the intelligent artificial agents have been developing more autonomous and human-like, the capability of them to make moral decisions becomes an important issue. In this work we developed an artificial neutral network which considered various effective factors for ethical assessment of an action to determine that if a behavior or an action is ethically permissible or not. We integrated this net to the BDI-agent model as a part of its reasoning process to behave ethically in various environments.
Keywords: AMA, Artificial ethical agent, Artificial intelligence, artificial neural network, artificial neural network approach, artificial neural networks, autonomous robotic systems, BDI-Agent, BDI-agent model, ethical artificial agent, ethical reasoning, Ethics, Humanoid Robots, Humans, ieee xplore, intelligent agent, intelligent artificial agents, intelligent robots, Intelligent Systems, machine ethics, Mobile robots, Moral & Ethik, multi-agent systems, neurocontrollers, reasoning process, Software agents, Turning
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