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人类和人工智能主体道德决策的概念与计算模型。

A conceptual and computational model of moral decision making in human and artificial agents.

作者信息

Wallach Wendell, Franklin Stan, Allen Colin

机构信息

Interdisciplinary Center for Bioethics, Yale UniversityInstitute for Intelligent Systems, The University of MemphisCognitive Science Program, Indiana University.

出版信息

Top Cogn Sci. 2010 Jul;2(3):454-85. doi: 10.1111/j.1756-8765.2010.01095.x. Epub 2010 May 13.

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.

摘要

最近,人们对人类认知的通用、综合模型的兴趣再度兴起。此类模型旨在解释诸如深思熟虑和规划等高阶认知能力。给定一种计算表征,这些模型的有效性可在诸如软件代理或具身机器人等计算机模拟中进行测试。推动此类计算模型的实现催生了通用人工智能(AGI)领域。道德决策可以说是高阶认知计算方法面临的最具挑战性的任务之一。越来越多的自主人工代理需要在其选择和行动中考虑道德因素,这催生了另一个新的研究领域,它有多种名称,如机器道德、机器伦理、机器人伦理或友好人工智能。在本研究中,我们将讨论人类认知的AGI模型LIDA如何能够被改编以对道德决策的情感和理性特征进行建模。使用LIDA模型,我们将展示如何在许多领域使用与通用决策相同的机制来做出道德决策。人类认知的综合模型通常旨在与认知科学和神经科学的最新研究兼容。神经心理学家伯纳德·巴尔斯(1988年)提出的全局工作空间理论是一个备受推崇的人类认知模型,目前正在多个软件实现中进行计算实例化。LIDA(富兰克林、巴尔斯、拉马穆尔蒂和文图拉,2005年)就是这样一种计算实现。LIDA既是一组计算工具,也是人类认知的基础模型,它提供了一些机制,能够解释智能体如何从自下而上收集感官数据以及自上而下理解当前情况的过程中产生对其下一个行动的选择。我们将描述LIDA模型如何帮助将情感整合到人类决策过程中,并且我们将阐明一个智能体能够解决道德问题以达成考虑到道德相关因素的解决方案的过程。

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