Infusing Autopoietic and Cognitive Behaviors into Digital Automata to Improve Their Sentience, Resilience, and Intelligence

Mikkilineni, Rao

doi:10.3390/bdcc6010007

Cited by 10 publications

(8 citation statements)

References 28 publications

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“…Computer engineering and robotics also afford many opportunities for testing and applying this framework. Incorporating biological concepts into a computing system design has been explored in the abstract [ 236 , 237 ], at the level of system design [ 238 , 239 ], and with neuromorphic hardware [ 240 , 241 ]. The present work suggests further directions, including developing frameworks for working with agential materials (like the cells that make up Xenobots), which requires distinct strategies from those used with passive materials or even active matter [ 242 , 243 , 244 , 245 ], creating evolutionary simulations and human use tools to explicitly address multiple scales of organization and problem solving.…”

Section: Implications: a Research Programmentioning

confidence: 99%

Competency in Navigating Arbitrary Spaces as an Invariant for Analyzing Cognition in Diverse Embodiments

Fields

Levin

2022

Entropy

113

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One of the most salient features of life is its capacity to handle novelty and namely to thrive and adapt to new circumstances and changes in both the environment and internal components. An understanding of this capacity is central to several fields: the evolution of form and function, the design of effective strategies for biomedicine, and the creation of novel life forms via chimeric and bioengineering technologies. Here, we review instructive examples of living organisms solving diverse problems and propose competent navigation in arbitrary spaces as an invariant for thinking about the scaling of cognition during evolution. We argue that our innate capacity to recognize agency and intelligence in unfamiliar guises lags far behind our ability to detect it in familiar behavioral contexts. The multi-scale competency of life is essential to adaptive function, potentiating evolution and providing strategies for top-down control (not micromanagement) to address complex disease and injury. We propose an observer-focused viewpoint that is agnostic about scale and implementation, illustrating how evolution pivoted similar strategies to explore and exploit metabolic, transcriptional, morphological, and finally 3D motion spaces. By generalizing the concept of behavior, we gain novel perspectives on evolution, strategies for system-level biomedical interventions, and the construction of bioengineered intelligences. This framework is a first step toward relating to intelligence in highly unfamiliar embodiments, which will be essential for progress in artificial intelligence and regenerative medicine and for thriving in a world increasingly populated by synthetic, bio-robotic, and hybrid beings.

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Section: Implications: a Research Programmentioning

confidence: 99%

Competency in Navigating Arbitrary Spaces as an Invariant for Analyzing Cognition in Diverse Embodiments

Fields

Levin

2022

Entropy

113

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“…In terms of designing autopoietic and cognitive digital automata [13,14,17], the super-symbolic computing structures suggested by GTI provide an overlay over symbolic and sub-symbolic computing structures creating a common knowledge representation. This approach allows us to not only model but also implement digital automata with autopoietic and cognitive behaviors.…”

Section: Structural Machinesmentioning

confidence: 99%

“…Database systems designed with traditional ACID guarantees [10], such as RDBMS, choose consistency over availability, whereas systems designed around the BASE philosophy, common in the NoSQL movement, choose availability over consistency. In this paper, we discuss how to implement autopoietic digital automata using the tools derived from the General Theory of Information (GTI) [11][12][13][14] which provides self-regulation of the system and its components and overcomes the current limitations.…”

Section: Introductionmentioning

confidence: 99%

Machine Intelligence with Associative Memory and Event-Driven Transaction History

Mikkilineni,

Kelly

2024

Preprint

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Digital machine intelligence has evolved from its inception in the form of computation of numbers to AI, which is centered around performing cognitive tasks that humans can perform, such as predictive reasoning or complex calculations. The state of the art includes tasks that are easily described by a list of formal, mathematical rules or a sequence of event-driven actions such as modeling, simulation, business workflows, interaction with devices, etc., and also tasks that are easy to do “intuitively”, but are hard to describe formally or as a sequence of event-driven actions such as recognizing spoken words or faces. While these tasks are impressive, they fall short in applying common sense reasoning to new situations, filling in information gaps, or understanding and applying unspoken rules or norms. Human intelligence uses both associative memory and event-driven transaction history to make sense of what they are observing fast enough to do something about it while they are still observing it. In addition to this cognitive ability, all bio-logical systems exhibit autopoiesis and self-regulation. In this paper, we demonstrate how machine intelligence can be enhanced to include both associative memory and event-driven transaction history to create a new class of knowledge-based assistants to augment human intelligence. The digital assistants use global knowledge derived from the Large Language Models to bridge the knowledge gap between various participants interacting with each other. We use the general theory of information and schema-based knowledge representation to create the memory and history of various transactions involved in the interactions.

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“…Humans can typically represent and manage mental structures using ideal structures or categories like named sets or fundamental triads ( Burgin, 2010 ). Triads provide the schema, including the necessary operations for creating organized forms of data and knowledge, like entities, relationships, and evolutions, based on events and behaviors ( Burgin et al, 2020 ; Mikkilineni, 2022a ; Mikkilineni, 2022b ). These are world maps.…”

Section: Building An Ontologymentioning

confidence: 99%

The open ontology and information society

Naidoo

2024

Front. Genet.

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Information, as the most elusive subject, is central to all forms of thought, governance, economic structure, science, and society. Regulation of information, especially within the healthcare field, is proving to be a difficult task globally, given the lack of a qualitative framework and understanding of the concept and properties of information (or data) itself. The presentation of the overall qualitative framework, comprising a qualitative analysis of information, data, and knowledge, will be valuable and of great assistance in delineating regulatory, ethical, and strategic trajectories. In addition, this framework provides insights (and answers) regarding (1) data privacy and protection; (2) delineations between information, data, and knowledge based on the important notion of trust; (3) a structured approach to establishing the necessary conditions for an open society and system, and the maintenance of said openness, based on the work of Karl Popper and Georg Wilhelm Friedrich Hegel; (4) an active agent approach that promotes autonomy and freedom and protects the open society; and (5) a data governance mechanism based on the work of Friedrich Hayek, which structures the current legal–ethical–financial and social society. This is insightful for questions relating to the extent of rights and duties, the extent of biological bodies and freedom, and the structure of relations in distributed networked systems. There is great value offered in this framework; furthermore, it provides critical insights and thoughts about (and uncovers the interplay between) academic culture, politics, science, society, and societal decay. Note that, in line with the ideas expressed in this manuscript, such as incorporation of personal experience (thereby mending the Kantian and Cartesian gap), a first-person perspective will be used, where relevant.

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Infusing Autopoietic and Cognitive Behaviors into Digital Automata to Improve Their Sentience, Resilience, and Intelligence

Cited by 10 publications

References 28 publications

Competency in Navigating Arbitrary Spaces as an Invariant for Analyzing Cognition in Diverse Embodiments

Competency in Navigating Arbitrary Spaces as an Invariant for Analyzing Cognition in Diverse Embodiments

Machine Intelligence with Associative Memory and Event-Driven Transaction History

The open ontology and information society

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