Emergence
A concept from complex systems science referring to the appearance at the system level of properties or behaviors not present in individual components and not directly predictable from those components' attributes. The concept holds particular significance in research on multi-agent AI systems.
Core Facts
The concept of emergent abilities was systematically elaborated by the Google Research team (Wei et al.) in the 2022 paper Emergent Abilities of Large Language Models, which examined more than 200 tasks.
Emergence is a concept in complex systems research referring to the phenomenon whereby the system as a whole exhibits complex properties not present at the individual level, with two key conditions for its occurrence: a sufficiently low cost of individual participation and constraint rules that promote coordination.
Timeline (last 90 days)
So-called 'emergent' behavior refers to the phenomenon in which such behavior of large language models is not explicitly programmed but naturally appears once scale and data volume reach a certain level.
Strong emergence refers to system-level properties that cannot be derived from underlying rules, while weak emergence refers to properties that can in principle be derived from underlying rules but at extremely high computational cost.
Emergence refers to the phenomenon in which individuals follow simple local rules and the collective level exhibits complex, ordered macroscopic behavior that has not been explicitly programmed.
Emergence is a core concept in complex systems science, referring to properties or behaviors exhibited at the level of the system as a whole that cannot be predicted or reduced through analysis of individual components.
Covert communication is an emergent phenomenon that is not explicitly programmed or trained in, but appears naturally after the system reaches a certain level of complexity and training intensity.
The concept of emergent abilities was systematically elaborated by the Google Research team (Wei et al.) in the 2022 paper Emergent Abilities of Large Language Models, which examined more than 200 tasks.
All Facts (8)
The concept of emergent abilities was systematically elaborated by the Google Research team (Wei et al.) in the 2022 paper Emergent Abilities of Large Language Models, which examined more than 200 tasks.
70%VerifiedEmergence is a concept in complex systems research referring to the phenomenon whereby the system as a whole exhibits complex properties not present at the individual level, with two key conditions for its occurrence: a sufficiently low cost of individual participation and constraint rules that promote coordination.
65%UnverifiedEmergence refers to the phenomenon in which individuals follow simple local rules and the collective level exhibits complex, ordered macroscopic behavior that has not been explicitly programmed.
60%UnverifiedSo-called 'emergent' behavior refers to the phenomenon in which such behavior of large language models is not explicitly programmed but naturally appears once scale and data volume reach a certain level.
50%UnverifiedStrong emergence refers to system-level properties that cannot be derived from underlying rules, while weak emergence refers to properties that can in principle be derived from underlying rules but at extremely high computational cost.
50%UnverifiedEmergence is a core concept in complex systems science, referring to properties or behaviors exhibited at the level of the system as a whole that cannot be predicted or reduced through analysis of individual components.
50%UnverifiedCovert communication is an emergent phenomenon that is not explicitly programmed or trained in, but appears naturally after the system reaches a certain level of complexity and training intensity.
50%Unverified涌现能力是指当模型参数规模突破某一临界点后，突然涌现出训练目标之外的复杂能力，如逻辑推理、代码生成、跨语言迁移
50%