Open Ended Intelligence
David Weinbaum (Weaver) Viktoras Veitas The Global Brain Institute VUB
Abstract
Artificial General Intelligence (AGI) is a field of research aiming to distill the principles of intelligence that operate independently of a specific problem domain or a predefined context and utilize these principles in order to synthesize systems capable of performing any intellectual task a human being is capable of and eventually go beyond that. While “narrow” artificial intelligence that focuses on solving specific problems such as speech recognition, text comprehension, visual pattern recognition, robotic motion, etc. has shown quite a few impressive breakthroughs lately, understanding general intelligence remains elusive.
中文速览
通用人工智能（AGI）领域长期以来把智能定义为"在多种环境中实现目标的能力"，但这个定义预设了智能体与环境的明确边界、预先给定的目标以及观察者无关的外部世界，从根本上遮蔽了智能最初是如何涌现出来的。作者提出一种名为"开放式智能"（open-ended intelligence）的新范式，把智能从一种既有能力重新理解为一个持续的自我组织与个体化（individuation）过程——智能体正是在这个过程中逐步划定自身边界、形成目标与价值观、并与世界共同演化。这一框架融合了生成认知（enactive cognition）、意义建构（sense-making）和装配理论（assemblage theory），并用复杂适应系统的语言将其形式化，揭示了协调（coordination）与智能之间的深层关联。该研究的重要性在于，它突破了现有AGI理论将智能窄化为问题求解能力的局限，为理解智能如何从无到有地生长出来提供了一条全新的哲学与理论路径。
原文 arXiv:1505.06366;中英对照 + 大白话阅读 https://aha.fim.ai/paper/1505.06366v2