Engineering Kindness: Building a Machine with Compassionate Intelligence

C. Mason
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引用次数: 10

Abstract

The author provides first steps toward building a software agent/robot with compassionate intelligence. She approaches this goal with an example software agent, EM-2. She also gives a generalized software requirements guide for anyone wishing to pursue other means of building compassionate intelligence into an AI system. The purpose of EM-2 is not to build an agent with a state of mind that mimics empathy or consciousness, but rather to create practical applications of AI systems with knowledge and reasoning methods that positively take into account the feelings and state of self and others during decision making, action, or problem solving. To program EM-2 the author re-purposes code and architectural ideas from collaborative multi-agent systems and affective common sense reasoning with new concepts and philosophies from the human arts and sciences relating to compassion. EM-2 has predicates and an agent architecture based on a meta-cognition mental process that was used on India's worst prisoners to cultivate compassion for others, Vipassana or mindfulness. She describes and presents code snippets for common sense based affective inference and the I-TMS, an Irrational Truth Maintenance System, that maintains consistency in agent memory as feelings change over time, and provides a machine theoretic description of the consistency issues of combining affect and logic. The author summarizes the growing body of new biological, cognitive and immune discoveries about compassion and the consequences of these discoveries for programmers working with human-level AI and hybrid human-robot systems.
工程仁慈:制造具有同情心智能的机器
作者提供了构建具有同情心智能的软件代理/机器人的第一步。她通过一个示例软件代理EM-2来实现这一目标。她还为希望在人工智能系统中建立富有同情心的智能的人提供了一个通用的软件需求指南。EM-2的目的不是建立一个具有模仿同理心或意识状态的智能体,而是创建具有知识和推理方法的人工智能系统的实际应用,这些知识和推理方法在决策、行动或解决问题时积极考虑到自我和他人的感受和状态。为了编程EM-2,作者重新利用了来自协作多智能体系统和情感常识推理的代码和架构思想,以及与同情相关的人类艺术和科学的新概念和哲学。EM-2具有基于元认知心理过程的谓词和代理架构,该过程曾用于印度最糟糕的囚犯,以培养对他人的同情、内观或正念。她描述并展示了基于常识的情感推理和I-TMS(一种非理性真理维护系统)的代码片段,该系统在情感随时间变化时保持代理记忆的一致性,并提供了结合情感和逻辑的一致性问题的机器理论描述。作者总结了越来越多关于同情心的生物、认知和免疫方面的新发现,以及这些发现对使用人类水平的人工智能和人机混合系统的程序员的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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