The Role of Cognitive Computing and Collective Cognitive Computing in the Future Internet

Williams, Andy E; Petrović, Nenad

doi:10.31730/osf.io/qb7sm

Cited by 2 publications

(2 citation statements)

References 11 publications

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“…However, a functional state space might be defined within the conceptual space to represent all of the operations of a blockchain platform [14]. Or a functional state space might be defined within the conceptual space to represent all the operations of an Internet of Things platform [15].…”

Section: Figure 8: In Human-centric Functional Modeling General Problem-solving Ability Is Depicted As the Capacity To Potentially Form Amentioning

confidence: 99%

Human-Centric Functional Modeling of Biocomputers

Williams¹

2021

Preprint

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This paper explores how the technique of Human-Centric Functional Modeling might potentially be used to represent a broad subset of proposed implementations of biocomputing with anywhere from narrow to general problem-solving ability within a given domain, or across multiple domains, and how such functional models might be implemented by libraries of biological computing mechanisms. This paper also explores the insights to be gained from modeling biocomputers this way, and how Human-Centric Functional Modeling might significantly accelerate research and increase the impact of research in biocomputing through significantly increasing capacity for reuse of both biocomputing hardware and software.

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Section: Figure 8: In Human-centric Functional Modeling General Problem-solving Ability Is Depicted As the Capacity To Potentially Form Amentioning

confidence: 99%

Human-Centric Functional Modeling of Biocomputers

Williams¹

2021

Preprint

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“…In the implementation of artificial cognition this implies the ability to more reliably and perhaps to far more quickly converge on a workable implementation. But this capacity for convergence also applies to homeostasis, evolution, and other living processes, as well as to processes in non-living systems such as the future Internet [11], or virtually any other technology [12]. As explained in a review of the existing literature on collective intelligence [5], these works exploring this capacity for convergence cite the same author because no other writings on this topic are believed to exist.…”

Section: Figure 5 Functional Systems and Capacity For Life Processesmentioning

confidence: 99%

General Problem-Solving Ability in Natural Systems as a Model for Computation

Williams¹

2021

Preprint

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Natural systems have demonstrated the ability to solve a wide range of adaptive problems as well as the ability to self-assemble in a self-sustaining way that enables them to exponentially increase impact on outcomes related to those problems. In the case of photosynthesis nature solved the problem of harnessing the energy in sunlight and then leveraged self-assembling and self-sustaining processes so that exponentially increasing impact on that problem is reliably achievable. Rather than having to budget a given amount of resources to create a mature tree, where those resources might not be reliably available, tree seedlings self-assemble in a self-sustaining way from very few resources to grow from having the capability of photosynthesis accompanying a single leaf, to the capability of photosynthesis accompanying what might be millions of leaves. If the patterns underlying this adaptive problem-solving could be abstracted so that they are generally applicable, they might be applied to social and other problems occurring at scales that currently are not reliably solvable. One is the Sustainable Development Goals (SDGs) funding gap. The funding believed to be required to address the SDGs is difficult to estimate, and may be anywhere between $2 trillion and $6 trillion USD per year. However, bridging the gap between the funding required to meet these goals and the funding available to do so is universally acknowledged to be a difficult and unsolved problem. This paper explores how abstracting the pattern for general problem-solving ability that nature has used to solve the problem of exponentially increasing impact on collective problems, and that nature has proven to be effective for billions of years, might be reused to solve “wicked problems” from implementing an Artificial General Intelligence (AGI) to funding sustainable development at the scale required to transform Africa and the world.

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The Role of Cognitive Computing and Collective Cognitive Computing in the Future Internet

Cited by 2 publications

References 11 publications

Human-Centric Functional Modeling of Biocomputers

Human-Centric Functional Modeling of Biocomputers

General Problem-Solving Ability in Natural Systems as a Model for Computation

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