Human Intelligence and General Collective Intelligence as Phase Changes in Animal Intelligence

Abstract

The hypothesis that human intelligence represents a phase transition in animal intelligence is explored, as is the hypothesis that General Collective Intelligence (GCI), which has been defined as a system that organizes groups into a single collective cognition with the potential for vastly greater general problem-solving ability than that of any individual in the group, represents a phase transition in human intelligence. At these phase transitions, cognition can be demonstrated to gain the capacity for exponentially greater general problem-solving ability. If valid, then when generalized as an Nth order pattern, these N phase transitions represent successively more powerful super-intelligences, where each of these super-intelligences can potentially be implemented as an Artificial General Intelligence (AGI), or as a General Collective Intelligence (GCI).

Applications for General Collective Intelligence

“…That is, GCI is a system that organizes individuals to have the potential for vastly greater general problem-solving ability (intelligence), than any individual. GCI is a well-defined phase change from human intelligence [1]. From this functional perspective, a problem is a gap between two points in the conceptual space.…”

“…required to define a solution) is sufficiently high that those interactions cannot be found (i.e. are no longer understandable within any individual human cognition), those interactions have been described as "higher order" (too complex) [1]. Since the number of relationships between concepts that must be navigated to define a concept is related to the size (resolution) of a concept in conceptual space, then visually, the limits to complexity are represented in conceptual space as the minimum resolvable volume for any concept, and the minimum resolvable distance between concepts.…”

“…That is, it might involve second order or higher interactions. When the order of these interactions is sufficiently high that those interactions are no longer understandable within any individual human cognition, those interactions have been described as "higher order" [1]. GCI is suggested to provide the ability to reliably navigate higher order processes, and therefore to have the ability to define higher order problems, and to discover higher order solutions.…”

“…the potential ability to navigate the conceptual space from any general problem to it's solution). The distinction of being "human-like" is critical because from the functional perspective human intelligence is a well-defined phase change from animal intelligence [1].…”

Cognitive Computing and its Relationship to Computing Methods and Advanced Computing from a Functional Modeling Perspective

“…As explored in the domain of sustainable housing design, any design process faces limits to the complexity it has the capacity to navigate [11]. Similarly, in the computing domain, where computing methods designed by any individual human without AGI, or by any group without GCI can only define the problems that can fit inside human cognition, and can only solve those problems with the solutions that are discoverable within human cognition, the combination of AGI and GCI can be demonstrated to have the capacity to reliably generate an exponential increase in general problem-solving ability [12]. Measured in impact on any outcome, such as the outcomes targeted through the design of computing methods, this can be expected to drive an exponential increase in impact on those outcomes.…”