Alle Publikationen
- <<
- <
- 1
2019
-
(2019): Interactional Moral Systems: A Model of Social Mechanisms for the Moral Regulation of Exchange Processes in Agent Societies. In: IEEE Transactions on Computational Social Systems 6 (4), S. 778-796. DOI: 10.1109/TCSS.2019.2926950
DOI: https://doi.org/10.1109/TCSS.2019.2926950 Abstract: In this paper, we first introduce the concepts of moral agent and moral system of agent society and, in particular, the central concept of moral agent sensible to moral sanction. Next, we introduce the concepts of moral gain and moral loss in social exchanges and of reputation-based persistence of exchange processes. Following, we elaborate the notion of negotiated moral regulation of reputation-based persistent exchange processes. Finally, we combine those concepts in the notion of a reputation-based mechanism for the negotiation-driven moral regulation of exchange processes of agents that are sensible to moral sanctions.
Keywords: Agent societies, agent society, Avatars, Computational modeling, Ethics, ieee xplore, interactional moral systems, Law, Moral & Ethik, moral agent, moral gain, moral loss, moral regulation of social exchanges, moral sanction, Morality, multi-agent systems, negotiation-driven moral regulation, reputation-based mechanism, reputation-based persistence, reputation-based persistent exchange processes, Robots, social exchanges, social mechanisms, Social Processes -
(2019) : Beyond Programming: Can Robots’ Norm-Violating Actions Elicit Mental State Attributions?: 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI): Daegu, Korea: IEEE, S. 530-531
DOI: https://doi.org/10.1109/HRI.2019.8673293 Abstract: Social perceivers often view a human agent’s norm-violating behavior as diagnostic of that person’s mental states, while behaviors that conform to norms are viewed as less informative. We developed a series of stimulus videos depicting a DRC-HUBO robot engaging in norm-violating and norm-conforming behaviors. We explored the hypothesis that robots’ norm-violating actions may invite social perceivers to increase their mental state attributions in a similar manner as they do in humans. Surprisingly, we found that norm-conforming behaviors appear to be at least as conducive as norm-violating behaviors, and perhaps even moreso, to mental state attribution to robotic agents.
Keywords: action explanation, actions elicit mental state attributions, agency, Artificial intelligence, behavioural sciences computing, Cognition, control engineering computing, DRC-HUBO, DRC-HUBO robot, human agent norm-violating behavior, Humanoid Robots, human-robot interaction, ieee xplore, Künstliche Intelligenz, Mobile robots, multi-agent systems, norms, PSYCHOLOGY, robot programming, robotic agents, social perceivers, theory of mind, Videos 2017
-
(2017): Reasoning about Imprecise Beliefs in Multi-Agent Systems with PDT Logic. In: KI - Künstliche Intelligenz 31 (1), S. 63-71. DOI: 10.1007/s13218-016-0455-7Keywords: abductive reasoning, Abduktion, abduktives Schließen, Agenten, Agenten-Überzeugung, Angemessenheit von Überzeugungen, Bedeutung, Belief updates, deutsche Community, Epistemische Logik/Modallogik/Doxastische Logik/Wissenslogik, Formalisierung, frame semantics, imprecise beliefs, Imprecise probabilities, Intellektualtechnik, Knowledge representation, Kogn. Architektur, kognitive Architekturen, Künstliche Intelligenz, Mensch-Technik-Relationen (MTR), model, Modell, Modellierung, multi-agent systems, Multi-Agenten-Systeme, PDT Logic, Probabilistic Doxastic Temporal Logic, Realtechnik, Technik, Ungenaue Überzeugungen, Wahrscheinlichkeit
2016
-
(2016): Epistemic logics for sceptical agents. In: JOURNAL OF LOGIC AND COMPUTATION 26 (6), S. 1815-1841
Abstract: In this article, we introduce an epistemic modal operator modelling knowledge over distributive non-associative full Lambek calculus with a negation. Our approach is based on the relational semantics for substructural logics: we interpret the elements of a relational frame as information states consisting of collections of data. The principal epistemic relation between the states is the one of being a reliable source of information, on the basis of which we explicate the notion of knowledge as information confirmed by a reliable source. From this point of view it is natural to define the epistemic operator formally as the backward-looking diamond modality. The framework is a generalization and extension of the system of relevant epistemic logic proposed by Majer and Peliš (2009, college Publications, 123–135) and developed by Bílková et al. (2010, college Publications, 22–38). The system is modular in the sense that the axiomatization of the epistemic operator is sound and complete with respect to a wide class of background logics, which makes the system potentially applicable to a wide class of epistemic contexts. Our system admits a weak form of logical omniscience (the monotonicity rule), but avoids stronger ones (a necessitation rule and a K-axiom) as well as some closure properties discussed in normal epistemic logics (like positive and negative introspection). For these properties we provide characteristic frame conditions, so that they can be present in the system if they are considered to be appropriate for some specific epistemic context. We also prove decidability of the weakest epistemic logic we consider, using a filtration method. Finally, we outline further extensions of our framework to a multiagent system
Keywords: Agenten, Agenten-Überzeugung, Disziplin, epistemic modal operator, Epistemische Logik/Modallogik/Doxastische Logik/Wissenslogik, Epistemische Operatoren, frame semantics, Intellektualtechnik, Kogn. Architektur, kognitive Architekturen, Künstliche Intelligenz, Mensch-Technik-Relationen (MTR), mögliche Welten, mögliche Welten Theorie, multi-agent systems, Multi-Agenten-Systeme, Philosophie, possible worlds theory, Realtechnik, relational frame, Sprache, Sprachtheorie, Sprachverstehen, Technik -
(2016): The Mechanisms of Emergence. In: Philosophy of the Social Sciences 34 (2), S. 260-282. DOI: 10.1177/0048393103262553
Abstract: This article focuses on emergence in social systems. The author begins by proposing a new tool to explore the mechanisms of social emergence: multi agent based computer simulation. He then draws on philosophy of mind to develop an account of social emergence that raises potential problems for the methodological individualism of both social mechanism and of multi agent simulation. He then draws on various complexity concepts to propose a set of criteria whereby one can determine whether a given social mechanism generates emergent properties, in the sense that their explanation cannot be reduced to a mechanistic account of individuals and their interactions. This combined account helps to resolve the competing claims of methodological individualists and social realists. The author's conclusion is that the scope of mechanistic explanation may be limited due to the extreme complexity of many social systems.
Keywords: complexity, Disziplin, emergence, Emergenz, Emergenz in sozialen Systemen, Im (wissenschaftlichen) Diskurs, Interaktion, Komplexität, Komplexitätsforschung, Künstliche Intelligenz, Mensch-Technik-Relationen (MTR), multi agent based computer simulation, multi-agent systems, Multi-Agenten-Systeme, Ontologische Differenzierungen: Tier, Mensch, Maschine, Philosophie, philosophy of mind, Realtechnik, Reflexionen über MTR, simulation, social realism, social systems, soziale Mechanismen, Soziale Systeme, Technik 2009
-
(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
- <<
- <
- 1