Philosophy-Guided Modelling and Implementation of Adaptation and Control in Complex Systems

Fabbro, Olivier Del; Christen, Patrik

doi:10.48550/arxiv.2009.00110

Cited by 2 publications

(5 citation statements)

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“…This is extended with the concepts of entity, control, and adaptation borrowed from Whitehead. The system metamodel therefore consists of operations and related structures defining these concepts (Del Fabbro and Christen, 2020;Christen, 2020).…”

Section: The Allagmatic Methodsmentioning

confidence: 99%

Curb Your Self-Modifying Code

Christen¹

2022

Preprint

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Self-modifying code has many intriguing applications in a broad range of fields including software security, artificial general intelligence, and open-ended evolution. Having control over self-modifying code, however, is still an open challenge since it is a balancing act between providing as much freedom as possible to not limit possible solutions and restriction to avoid security issues and invalid code or solutions. In the present study, I provide a prototype implementation of how one might curb self-modifying code by introducing a control mechanisms for code modifications within specific regions and for specific transitions between code and data. I show that this is possible to achieve with the so-called allagmatic method -an approach to formalise, model, implement, and interpret complex systems inspired by Gilbert Simondon's philosophy of individuation and Alfred North Whitehead's philosophy of organism. Thereby, the allagmatic method serves as guidance for self-modification based on concepts defined in a metaphysical framework.

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Section: The Allagmatic Methodsmentioning

confidence: 99%

Curb Your Self-Modifying Code

Christen¹

2022

Preprint

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“…The so-called allagmatic method was initially developed based on Simondon's structure and operation [6], and later extended with Whitehead's adaptation and control [4], [5]. These concepts allow modelling and simulating systems and especially complex systems of any kind.…”

Section: The Allagmatic Methodsmentioning

confidence: 99%

“…There are also feedback loops between the regimes describing higher level concepts such as adaptation. In adaptation, the method cycles between the metastable and actual regimes [4], [5].…”

Section: The Allagmatic Methodsmentioning

confidence: 99%

“…There is, however, no common way of modelling complex systems making this a challenging task. We recently developed the so-called allagmatic method [4]- [6], which is a general approach for modelling and simulating complex systems including the definition of data structures and algorithms. It is inspired by philosophical concepts such as Gilbert Simondon's structure and operation [7], [8], and Alfred North Whitehead's adaptation and control [9], [10].…”

Section: Introductionmentioning

confidence: 99%

“…These concepts are implemented as a system metamodel with program code allowing to not only precisely define the concepts but also to execute or run them with respect to other concepts. The allagmatic method proved to be useful to generate concrete computer models such as cellular automata and artificial neural networks [4], [6] as well as to guide automatic programming by providing abstract model building blocks that every system is composed of [11]. These model building blocks can be put together in an automatic way by concretising them into more and more concrete models of complex systems.…”

Section: Introductionmentioning

confidence: 99%

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Programming Data Structures for Large-Scale Desktop Simulations of Complex Systems

Christen¹

2022

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Studying complex systems requires running largescale simulations over many iterations in time. It is therefore important to provide efficient implementations. The present study borrows philosophical concepts from Gilbert Simondon to identify data structures and algorithms that have the biggest impact on running time and memory usage. These are the entity e-tuple E and the intertwined update function φ. Focusing on implementing data structures in C#, E is implemented as a list of objects according to current software engineering practice and as an array of pointers according to theoretical considerations. Cellular automata simulation with 10 9 entities over one iteration reveal that object-list with dynamic typing and multi-state readiness has a drastic effect on running time and memory usage, especially dynamic as it has a big impact on the evolution time. Pointer-arrays are possible to implement in C# and are more running time and memory efficient as compared to the object-list implementation, however, they are cumbersome to implement. In conclusion, avoiding dynamic typing in object-list based implementations or using pointerarrays gives evolution times that are acceptable in practice, even on desktop computers.

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Philosophy-Guided Modelling and Implementation of Adaptation and Control in Complex Systems

Cited by 2 publications

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Curb Your Self-Modifying Code

Curb Your Self-Modifying Code

Programming Data Structures for Large-Scale Desktop Simulations of Complex Systems

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