This article discusses some trends and concepts in developing a new generation of future Artificial General Intelligence (AGI) systems which relate to complex facets and different types of human intelligence, especially social, emotional, attentional, and ethical intelligence. We describe various aspects of multiple human intelligences and learning styles, which may affect a variety of AI problem domains. Using the concept of “multiple intelligences” rather than a single type of intelligence, we categorize and provide working definitions of various AGIs depending on their cognitive skills or capacities. Future AI systems will be able not only to communicate with human users and each other but also to efficiently exchange knowledge and wisdom with abilities of cooperation, collaboration, and even cocreating something new and valuable and have metalearning capacities. Multiagent systems such as these can be used to solve problems that would be difficult to solve by any individual intelligent agent.

中文翻译：

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人与AI协作的未来趋势：使用多种智能和学习风格的AI / AGI综合分类法

本文讨论了开发新一代未来人工智能系统（AGI）的一些趋势和概念，这些系统涉及复杂方面和不同类型的人类智力，尤其是社会，情感，注意力和伦理智力。我们描述了多种人类智能和学习方式的各个方面，这些方面可能会影响各种AI问题领域。我们使用“多元智能”的概念，而不是单一类型的智能，根据其认知技能或能力对各种AGI进行分类和提供工作定义。未来的AI系统将不仅能够与人类用户相互交流，而且还可以有效地交流具有合作，协作，甚至共同创造一些新的有价值的东西，并具有金属化的能力。诸如此类的多代理系统可用于解决任何单个智能代理都难以解决的问题。