Digital ecosystems enable collective intelligence through interconnected environments. Ontologies that support information systems need to account for dynamic factors like ongoing changes in reality. This document discusses how the concept of entropy from the second law of thermodynamics could be a factor to model in ontology engineering as it represents a measure of change and transformation.
The document discusses the history and development of cybernetics. It describes how systems have become increasingly complex over time, making it impossible for individuals to master all fields of knowledge as Leonardo Da Vinci once did. Cybernetics emerged in the 1940s as an interdisciplinary science focused on understanding systems through the study of feedback and self-regulation. Pioneers like Norbert Wiener drew insights from examples of homeostasis in biological systems and worked to design machines that could self-regulate like living things through feedback loops. This established cybernetics as a new way of understanding how complex systems function and adapt.
This document discusses the concept of morphogenetic engineering, which aims to design artificial self-organized systems capable of developing elaborate architectures without central planning. It begins by looking at natural complex systems like animal flocking and termite mounds that self-organize. The focus is on "architectures without architects" in biological systems. Morphogenetic engineering is proposed as a new type of engineering that designs self-organizing agents, not the architectures directly, taking inspiration from embryogenesis, simulated development and synthetic biology. Several research projects are summarized that aim to model biological development and create modular, programmable artificial self-construction.
This document discusses morphogenetic engineering, which aims to design decentralized systems capable of developing elaborate morphologies without central planning. It covers three main topics:
1) Engineering and control of self-organization, which involves fostering and guiding complex systems through their elements.
2) Morphogenetic engineering, which explores artificial design of systems that can develop architectures like those seen in biology, with heterogeneous and hierarchical structures emerging from self-organization.
3) Embryomorphic engineering, which takes inspiration from biological morphogenesis and development, aiming to design multi-agent models that can undergo evolution and development like living organisms. The goal is to better understand novelty in evolution by studying emergence at the microscopic, agent level.
Miranda p 2000: swarm modelling_the use of swarm intelligence to generate arc...ArchiLab 7
This document summarizes a paper about using swarm intelligence to generate architectural form. It describes how simple agents or "turtles" can exhibit complex emergent behaviors through their interactions with environments and each other. The paper explores how swarms can structurally couple with their environment to implicitly describe and recognize different shapes and forms, similar to how human perception works. It then discusses using swarm trajectories to construct 3D flocking simulations for exploring architectural design spaces.
This document summarizes several agent-based modeling projects done by students at the University of East London. It describes projects using StarLogo, where students modeled emergent urban forms and traffic patterns. It also discusses modeling the growth of traditional Yemeni cities and experiments deforming NURBS surfaces using agent-based modeling in Microstation. The document provides examples of how agent-based modeling can be used as a design tool to explore emergent patterns and behaviors.
Foresight in the Time of Simplicity, Complexity and ChaosPaul Schumann
The document discusses concepts related to foresight, complexity, chaos theory and emergence. It provides an outline on these topics and examples to illustrate simple to complex systems. Key points discussed include the characteristics of simplicity, chaos, emergence and criticality. The document suggests strategy for foresight includes understanding and exploring systems to identify opportunities and threats. Looking ahead, it suggests foresight will need to account for increasing complexity from more interconnected systems and people.
Diversity training grants supported by the NIH are multi-million dollar grants that seek to increase the
numbers of underrepresented minorities in the biomedical sciences. Specifically, these training grants aim
to augment the presence of certain groups— namely minorities (such as African-Americans, American
Indians, Alaska Natives, Hispanic/Latino Americans and U.S. Pacific Islanders) as well as individuals with
disabilities in the biomedical work force.
Leading a team of qualified individuals from various backgrounds and perspectives has proven to be an
effective strategy towards the resolution of complex scientific dilemmas. These grants represent a great
opportunity to make a difference and the NIH recognizes this. In 2011 alone over 39 million dollars were
awarded across 160 approved R25 grant applications. And this is just one of the many diversity-driven
grants currently available.
During this diversity-spirited Webinar, your expert presenter will cover the full range of what these training
grants entail. Special attention will be given to the R25 and T34 grants, but others will be discussed as well.
Walk away with a clear understanding of their mechanism and focus, the basic structure of these grants as
well as their collaborative nature.
Digital ecosystems enable collective intelligence through interconnected environments. Ontologies that support information systems need to account for dynamic factors like ongoing changes in reality. This document discusses how the concept of entropy from the second law of thermodynamics could be a factor to model in ontology engineering as it represents a measure of change and transformation.
The document discusses the history and development of cybernetics. It describes how systems have become increasingly complex over time, making it impossible for individuals to master all fields of knowledge as Leonardo Da Vinci once did. Cybernetics emerged in the 1940s as an interdisciplinary science focused on understanding systems through the study of feedback and self-regulation. Pioneers like Norbert Wiener drew insights from examples of homeostasis in biological systems and worked to design machines that could self-regulate like living things through feedback loops. This established cybernetics as a new way of understanding how complex systems function and adapt.
This document discusses the concept of morphogenetic engineering, which aims to design artificial self-organized systems capable of developing elaborate architectures without central planning. It begins by looking at natural complex systems like animal flocking and termite mounds that self-organize. The focus is on "architectures without architects" in biological systems. Morphogenetic engineering is proposed as a new type of engineering that designs self-organizing agents, not the architectures directly, taking inspiration from embryogenesis, simulated development and synthetic biology. Several research projects are summarized that aim to model biological development and create modular, programmable artificial self-construction.
This document discusses morphogenetic engineering, which aims to design decentralized systems capable of developing elaborate morphologies without central planning. It covers three main topics:
1) Engineering and control of self-organization, which involves fostering and guiding complex systems through their elements.
2) Morphogenetic engineering, which explores artificial design of systems that can develop architectures like those seen in biology, with heterogeneous and hierarchical structures emerging from self-organization.
3) Embryomorphic engineering, which takes inspiration from biological morphogenesis and development, aiming to design multi-agent models that can undergo evolution and development like living organisms. The goal is to better understand novelty in evolution by studying emergence at the microscopic, agent level.
Miranda p 2000: swarm modelling_the use of swarm intelligence to generate arc...ArchiLab 7
This document summarizes a paper about using swarm intelligence to generate architectural form. It describes how simple agents or "turtles" can exhibit complex emergent behaviors through their interactions with environments and each other. The paper explores how swarms can structurally couple with their environment to implicitly describe and recognize different shapes and forms, similar to how human perception works. It then discusses using swarm trajectories to construct 3D flocking simulations for exploring architectural design spaces.
This document summarizes several agent-based modeling projects done by students at the University of East London. It describes projects using StarLogo, where students modeled emergent urban forms and traffic patterns. It also discusses modeling the growth of traditional Yemeni cities and experiments deforming NURBS surfaces using agent-based modeling in Microstation. The document provides examples of how agent-based modeling can be used as a design tool to explore emergent patterns and behaviors.
Foresight in the Time of Simplicity, Complexity and ChaosPaul Schumann
The document discusses concepts related to foresight, complexity, chaos theory and emergence. It provides an outline on these topics and examples to illustrate simple to complex systems. Key points discussed include the characteristics of simplicity, chaos, emergence and criticality. The document suggests strategy for foresight includes understanding and exploring systems to identify opportunities and threats. Looking ahead, it suggests foresight will need to account for increasing complexity from more interconnected systems and people.
Diversity training grants supported by the NIH are multi-million dollar grants that seek to increase the
numbers of underrepresented minorities in the biomedical sciences. Specifically, these training grants aim
to augment the presence of certain groups— namely minorities (such as African-Americans, American
Indians, Alaska Natives, Hispanic/Latino Americans and U.S. Pacific Islanders) as well as individuals with
disabilities in the biomedical work force.
Leading a team of qualified individuals from various backgrounds and perspectives has proven to be an
effective strategy towards the resolution of complex scientific dilemmas. These grants represent a great
opportunity to make a difference and the NIH recognizes this. In 2011 alone over 39 million dollars were
awarded across 160 approved R25 grant applications. And this is just one of the many diversity-driven
grants currently available.
During this diversity-spirited Webinar, your expert presenter will cover the full range of what these training
grants entail. Special attention will be given to the R25 and T34 grants, but others will be discussed as well.
Walk away with a clear understanding of their mechanism and focus, the basic structure of these grants as
well as their collaborative nature.
The continual innovation and progression of science and the recreation of life processes will eventually cause a paradigm shift in regards to the uniqueness of life and what should be considered alive.
Artificial life seeks to simulate and study natural life through computer models, robotics, and biochemistry. It takes a synthetic approach to understanding biology by constructing artificial systems that exhibit behaviors found in living organisms, such as growth, adaptation, reproduction, socialization, learning, and death. There are three main types of artificial life: wet, which uses biochemistry to simulate the origin of life; soft, which uses computer simulations; and hard, which uses robots. Early contributors to the field include John von Neumann, who studied self-replication in machines, and Craig Reynolds, who created computer simulations of flocking behavior. Artificial life has applications in fields like education, art, and social networking.
Vitorino Ramos: on the implicit and on the artificialArchiLab 7
This document discusses emergent behavior and artificial life. It argues that complex behavior can arise from simple interactions between many parts, without a global controller. An artificial system that exhibits this type of self-organization and emergent behavior could be viewed as an artificial superorganism. The document also discusses how traditional reductionist approaches in biology and sociology have given way to recognizing intrinsic complexity and emergent properties arising from decentralized interactions between autonomous components.
Tales from BioLand - Engineering Challenges in the World of Life SciencesStefano Di Carlo
Prof. Alfredo Benso from SysBio Group @ Politecnico di Torino keynote presentation at ICIIBMS - IEEE International Conference on Intelligent Informatics and BioMedical Sciences, on Nov 26 2017 in Okinawa (Japan).
Presentation slides for MArch Bartlett Students of Neil Spiller's AVATAR group. An outline of Living Architecture, the kinds of processes, materials and examples of architectural design outcomes.
This document discusses nature-inspired generative design. It provides an overview of several theoretical concepts from biology that can be used as the basis for generative design processes, including:
1) Computational embryology, which takes inspiration from developmental biology and embryology to model the growth processes by which an organism develops. This includes concepts like morphogenesis, regional specification, and cellular differentiation.
2) Self-organization concepts to model collective behavior and pattern formation. Collective behavior looks at how local interactions between agents can produce global behaviors, while reaction-diffusion systems can generate intricate patterns.
3) Examples are provided of how these biological concepts have been applied in a research project to generate architectural designs. Computational
Basic ideas contributing to development of Artificial Life discipline are presented, so anybody from science or humanistic field can get introduction to the field.
This document summarizes the relationship between systems biology and theoretical physics. It discusses how systems biology combines experimental techniques with mathematical modeling to understand biological processes, and how this field draws from both engineering and physics approaches. While engineering aims to numerically simulate biological systems, physics seeks universal principles and laws. The document reviews how concepts from physics, like statistical physics and nonlinear dynamics, have influenced systems biology research and how further integrating theoretical physics perspectives could aid understanding of biological systems.
This document provides an overview of a paper exploring creativity as a transcendental system using James Miller's General Living Systems Theory as a framework. It summarizes key concepts from Miller's theory, including space-time, matter-energy, and information. The document also discusses some challenges in applying a theory of concrete living systems to abstract, transcendental systems like creativity. It aims to connect creativity in transcendental space to the physical space through metaphor and symbolism.
This document discusses how lifelike behaviors can emerge in complex physical systems outside of biological organisms. It provides examples from fields like thermodynamics, astrophysics, chemistry, evolution, technology, and biogeophysics that exhibit self-replication, inference, and other behaviors we typically associate with living things. The author argues that we should treat these complex systems as if they were biological and investigate the mathematical similarities between living and non-living systems more rigorously, rather than assuming the differences. While acknowledging key differences, the author suggests different explanatory stances can be taken and that concepts from biology may help understand complex systems like economies and climate that seem to have behaviors of their own.
The document discusses biologically-inspired computing and provides information about an upcoming course. It outlines course assignments, including lab assignments and presentations. Upcoming key events are mentioned, such as the deadline for the final project. Readings from textbooks and lecture notes covered so far are also listed.
The Brain's Mind. The Mind's Brain.Brain mindex-Philips
The document discusses the relationship between the brain and mind from both a neuroscience and philosophical perspective. It proposes that the biological brain creates the mental mind through complex neural networks and wave interference patterns in the brain. Consciousness and thoughts arise when the brain performs comparisons of sensory information and past experiences through recurrent neural processes. The mind emerges from the chaotic yet patterned interactions of brain waves across different regions of the connected brain.
Biomimetics Steaaling From Nature Uni Of ReadingJake Langford
This document discusses biomimetics and how ideas can be transferred from nature to technology. It makes three key points:
1) Biomimetics involves identifying problems at a functional level in nature and transferring those solutions to engineering. Many common technologies like Velcro were inspired by natural structures and functions.
2) Ideas can be transferred at different levels of abstraction, with more abstract concepts being more widely applicable. The document provides examples of "biomimetic maps" to illustrate how ideas can be made more general and transferred between domains.
3) Nature provides many examples of deployable structures like folded plates and pressurized structures that could inspire new folding or inflatable technologies. The Venus flytrap's
These slides are taken from a talk I gave on the debate about the value of model systems (microcosms) in modern ecology and evolution. I argue for their great value and explain this via epistemological arguments focused on the modeling relation.
1) Systems biology aims to understand biology at the system level rather than just individual components. This requires advanced modeling and data analysis techniques.
2) Challenges in systems biology include understanding complex relationships between components, dynamic behavior over time, and controlling systems with unknown functions.
3) Artificial intelligence can help address these challenges through techniques like machine learning, knowledge representation, and problem solving. It has already been applied to tasks like gene alignment modeling and phylogenetic inference.
This document summarizes a keynote address given by Mario Bunge on systemism. It begins by noting that small problems can be addressed within individual disciplines, while larger, systemic problems require multidisciplinary collaboration. It then discusses how systemism provides an alternative to atomism and holism by combining top-down and bottom-up analysis. Systemism views the world as composed of interconnected systems and was first proposed in the 18th century. While little known in philosophy, scientists have generally practiced systemism. The document defines a system as having composition, environment, structure, and mechanisms. It argues systemism is a key part of the philosophical framework underpinning scientific research.
Eko Artificial Life, Determinacy of Ecological Resilience and Classification ...ijtsrd
Simulating the effects of biotic and a biotic interactions with or without human interference to compute ecological resilience within a closed ecosystem. Simulating a set food chain in the said ecosystem and studying the effects of biotic factors on the biotic chains and vice versa. Classifying and comparing various closed ecosystems on the said parameters and determinacy of the stability of an ecosystem over time. Study of various a biotic compound statistics via graphical representations in a time controlled order. Ability to introduce new species, remove existing ones or change the concentration amounts of current biotic parameters and thus study various results in a cause effect relationship. Time factoring and control over biotic gene pool to affect ecosystems on both a macro and micro scale. In depth latency about ecosystems in the gaming industry, weather simulators, and life perseverance of various endangered and threatened species along with sustainable resource control. Ankita Dhillon | Kirti Bhatia | Rohini Sharma "Eko: Artificial Life, Determinacy of Ecological Resilience and Classification of Closed Ecosystems" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd46318.pdf Paper URL: https://www.ijtsrd.com/computer-science/bioinformatics/46318/eko-artificial-life-determinacy-of-ecological-resilience-and-classification-of-closed-ecosystems/ankita-dhillon
The rapidly increasing interest in the quantum properties of living matter stimulates a discussion of the fundamental properties of life as well as quantum mechanics. In this discussion often concepts are used that originate in philosophy and ask for a philosophical analysis. In the present work the classic philosophical tradition based on Aristotle and Aquinas is employed which surprisingly is able to shed light on important aspects. Especially one could mention the high degree of unity in living objects and the occurrence of thorough qualitative changes. The latter are outside the scope of classical physics where changes are restricted to geometrical rearrangement of microscopic particles. A challenging approach is used in the philosophical analysis as the empirical evidence is not taken from everyday life but from 20th century science (quantum mechanics) and recent results in the field of quantum biology. In the discussion it is argued that quantum entanglement is possibly related to the occurrence of life. Finally it is recommended that scientists and philosophers should be open for dialogue that could enrich both. Scientists could redirect their investigation, as paradigm shifts like the one originating from philosophical evaluation of quantum mechanics give new insight about the relation between the whole en the parts. Whereas philosophers could use scientific results as a consistency check for their philosophical framework for understanding reality.
accepted for publication in Acta Philosophica
General systems theory views the whole as more than the sum of its parts. Characteristics of complex systems emerge from interactions between parts and cannot be explained by examining parts alone. Systems are abstract models that explain some aspect of the world and rules for its operation. A system consists of elements, boundaries, relations, causes, and qualities that are properties of the whole.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
The continual innovation and progression of science and the recreation of life processes will eventually cause a paradigm shift in regards to the uniqueness of life and what should be considered alive.
Artificial life seeks to simulate and study natural life through computer models, robotics, and biochemistry. It takes a synthetic approach to understanding biology by constructing artificial systems that exhibit behaviors found in living organisms, such as growth, adaptation, reproduction, socialization, learning, and death. There are three main types of artificial life: wet, which uses biochemistry to simulate the origin of life; soft, which uses computer simulations; and hard, which uses robots. Early contributors to the field include John von Neumann, who studied self-replication in machines, and Craig Reynolds, who created computer simulations of flocking behavior. Artificial life has applications in fields like education, art, and social networking.
Vitorino Ramos: on the implicit and on the artificialArchiLab 7
This document discusses emergent behavior and artificial life. It argues that complex behavior can arise from simple interactions between many parts, without a global controller. An artificial system that exhibits this type of self-organization and emergent behavior could be viewed as an artificial superorganism. The document also discusses how traditional reductionist approaches in biology and sociology have given way to recognizing intrinsic complexity and emergent properties arising from decentralized interactions between autonomous components.
Tales from BioLand - Engineering Challenges in the World of Life SciencesStefano Di Carlo
Prof. Alfredo Benso from SysBio Group @ Politecnico di Torino keynote presentation at ICIIBMS - IEEE International Conference on Intelligent Informatics and BioMedical Sciences, on Nov 26 2017 in Okinawa (Japan).
Presentation slides for MArch Bartlett Students of Neil Spiller's AVATAR group. An outline of Living Architecture, the kinds of processes, materials and examples of architectural design outcomes.
This document discusses nature-inspired generative design. It provides an overview of several theoretical concepts from biology that can be used as the basis for generative design processes, including:
1) Computational embryology, which takes inspiration from developmental biology and embryology to model the growth processes by which an organism develops. This includes concepts like morphogenesis, regional specification, and cellular differentiation.
2) Self-organization concepts to model collective behavior and pattern formation. Collective behavior looks at how local interactions between agents can produce global behaviors, while reaction-diffusion systems can generate intricate patterns.
3) Examples are provided of how these biological concepts have been applied in a research project to generate architectural designs. Computational
Basic ideas contributing to development of Artificial Life discipline are presented, so anybody from science or humanistic field can get introduction to the field.
This document summarizes the relationship between systems biology and theoretical physics. It discusses how systems biology combines experimental techniques with mathematical modeling to understand biological processes, and how this field draws from both engineering and physics approaches. While engineering aims to numerically simulate biological systems, physics seeks universal principles and laws. The document reviews how concepts from physics, like statistical physics and nonlinear dynamics, have influenced systems biology research and how further integrating theoretical physics perspectives could aid understanding of biological systems.
This document provides an overview of a paper exploring creativity as a transcendental system using James Miller's General Living Systems Theory as a framework. It summarizes key concepts from Miller's theory, including space-time, matter-energy, and information. The document also discusses some challenges in applying a theory of concrete living systems to abstract, transcendental systems like creativity. It aims to connect creativity in transcendental space to the physical space through metaphor and symbolism.
This document discusses how lifelike behaviors can emerge in complex physical systems outside of biological organisms. It provides examples from fields like thermodynamics, astrophysics, chemistry, evolution, technology, and biogeophysics that exhibit self-replication, inference, and other behaviors we typically associate with living things. The author argues that we should treat these complex systems as if they were biological and investigate the mathematical similarities between living and non-living systems more rigorously, rather than assuming the differences. While acknowledging key differences, the author suggests different explanatory stances can be taken and that concepts from biology may help understand complex systems like economies and climate that seem to have behaviors of their own.
The document discusses biologically-inspired computing and provides information about an upcoming course. It outlines course assignments, including lab assignments and presentations. Upcoming key events are mentioned, such as the deadline for the final project. Readings from textbooks and lecture notes covered so far are also listed.
The Brain's Mind. The Mind's Brain.Brain mindex-Philips
The document discusses the relationship between the brain and mind from both a neuroscience and philosophical perspective. It proposes that the biological brain creates the mental mind through complex neural networks and wave interference patterns in the brain. Consciousness and thoughts arise when the brain performs comparisons of sensory information and past experiences through recurrent neural processes. The mind emerges from the chaotic yet patterned interactions of brain waves across different regions of the connected brain.
Biomimetics Steaaling From Nature Uni Of ReadingJake Langford
This document discusses biomimetics and how ideas can be transferred from nature to technology. It makes three key points:
1) Biomimetics involves identifying problems at a functional level in nature and transferring those solutions to engineering. Many common technologies like Velcro were inspired by natural structures and functions.
2) Ideas can be transferred at different levels of abstraction, with more abstract concepts being more widely applicable. The document provides examples of "biomimetic maps" to illustrate how ideas can be made more general and transferred between domains.
3) Nature provides many examples of deployable structures like folded plates and pressurized structures that could inspire new folding or inflatable technologies. The Venus flytrap's
These slides are taken from a talk I gave on the debate about the value of model systems (microcosms) in modern ecology and evolution. I argue for their great value and explain this via epistemological arguments focused on the modeling relation.
1) Systems biology aims to understand biology at the system level rather than just individual components. This requires advanced modeling and data analysis techniques.
2) Challenges in systems biology include understanding complex relationships between components, dynamic behavior over time, and controlling systems with unknown functions.
3) Artificial intelligence can help address these challenges through techniques like machine learning, knowledge representation, and problem solving. It has already been applied to tasks like gene alignment modeling and phylogenetic inference.
This document summarizes a keynote address given by Mario Bunge on systemism. It begins by noting that small problems can be addressed within individual disciplines, while larger, systemic problems require multidisciplinary collaboration. It then discusses how systemism provides an alternative to atomism and holism by combining top-down and bottom-up analysis. Systemism views the world as composed of interconnected systems and was first proposed in the 18th century. While little known in philosophy, scientists have generally practiced systemism. The document defines a system as having composition, environment, structure, and mechanisms. It argues systemism is a key part of the philosophical framework underpinning scientific research.
Eko Artificial Life, Determinacy of Ecological Resilience and Classification ...ijtsrd
Simulating the effects of biotic and a biotic interactions with or without human interference to compute ecological resilience within a closed ecosystem. Simulating a set food chain in the said ecosystem and studying the effects of biotic factors on the biotic chains and vice versa. Classifying and comparing various closed ecosystems on the said parameters and determinacy of the stability of an ecosystem over time. Study of various a biotic compound statistics via graphical representations in a time controlled order. Ability to introduce new species, remove existing ones or change the concentration amounts of current biotic parameters and thus study various results in a cause effect relationship. Time factoring and control over biotic gene pool to affect ecosystems on both a macro and micro scale. In depth latency about ecosystems in the gaming industry, weather simulators, and life perseverance of various endangered and threatened species along with sustainable resource control. Ankita Dhillon | Kirti Bhatia | Rohini Sharma "Eko: Artificial Life, Determinacy of Ecological Resilience and Classification of Closed Ecosystems" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd46318.pdf Paper URL: https://www.ijtsrd.com/computer-science/bioinformatics/46318/eko-artificial-life-determinacy-of-ecological-resilience-and-classification-of-closed-ecosystems/ankita-dhillon
The rapidly increasing interest in the quantum properties of living matter stimulates a discussion of the fundamental properties of life as well as quantum mechanics. In this discussion often concepts are used that originate in philosophy and ask for a philosophical analysis. In the present work the classic philosophical tradition based on Aristotle and Aquinas is employed which surprisingly is able to shed light on important aspects. Especially one could mention the high degree of unity in living objects and the occurrence of thorough qualitative changes. The latter are outside the scope of classical physics where changes are restricted to geometrical rearrangement of microscopic particles. A challenging approach is used in the philosophical analysis as the empirical evidence is not taken from everyday life but from 20th century science (quantum mechanics) and recent results in the field of quantum biology. In the discussion it is argued that quantum entanglement is possibly related to the occurrence of life. Finally it is recommended that scientists and philosophers should be open for dialogue that could enrich both. Scientists could redirect their investigation, as paradigm shifts like the one originating from philosophical evaluation of quantum mechanics give new insight about the relation between the whole en the parts. Whereas philosophers could use scientific results as a consistency check for their philosophical framework for understanding reality.
accepted for publication in Acta Philosophica
General systems theory views the whole as more than the sum of its parts. Characteristics of complex systems emerge from interactions between parts and cannot be explained by examining parts alone. Systems are abstract models that explain some aspect of the world and rules for its operation. A system consists of elements, boundaries, relations, causes, and qualities that are properties of the whole.
Similar to International Bartlett Lecture Final (20)
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
CAKE: Sharing Slices of Confidential Data on BlockchainClaudio Di Ciccio
Presented at the CAiSE 2024 Forum, Intelligent Information Systems, June 6th, Limassol, Cyprus.
Synopsis: Cooperative information systems typically involve various entities in a collaborative process within a distributed environment. Blockchain technology offers a mechanism for automating such processes, even when only partial trust exists among participants. The data stored on the blockchain is replicated across all nodes in the network, ensuring accessibility to all participants. While this aspect facilitates traceability, integrity, and persistence, it poses challenges for adopting public blockchains in enterprise settings due to confidentiality issues. In this paper, we present a software tool named Control Access via Key Encryption (CAKE), designed to ensure data confidentiality in scenarios involving public blockchains. After outlining its core components and functionalities, we showcase the application of CAKE in the context of a real-world cyber-security project within the logistics domain.
Paper: https://doi.org/10.1007/978-3-031-61000-4_16
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
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Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdfTechgropse Pvt.Ltd.
In this blog post, we'll delve into the intersection of AI and app development in Saudi Arabia, focusing on the food delivery sector. We'll explore how AI is revolutionizing the way Saudi consumers order food, how restaurants manage their operations, and how delivery partners navigate the bustling streets of cities like Riyadh, Jeddah, and Dammam. Through real-world case studies, we'll showcase how leading Saudi food delivery apps are leveraging AI to redefine convenience, personalization, and efficiency.
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
20. “ Life is a fundamental property of the universe” Christian De Deuve
21. “ Chemistry has this computational nature embedded In it, which it inherited from the underlying computation That’s going on in quantum mechanics in general.” Seth Lloyd
22. "... the Anthropic Principle says that the seemingly arbitrary and unrelated constants in physics have one strange thing in common, these are precisely the values you need if you want to have a universe capable of producing life.” Patrick Glynn
76. “ In the Dallas suburb of Garland, an Unidentified Growing Object [big as a platter, foamy and creamy and pale yellow] terrorized Mrs Marie Harris’ back yard for three weeks until it died of sunstroke and nicotine poisoning.” Newsweek, June 11, 1973
99. Morphological simplicity but hugely complex chemistry consisting of numerous phases Photograph courtesy of Martin Hanczyc
100. Capable of complex behaviour, movement and primitive sensation Photograph courtesy of Martin Hanczyc
101. Giant protocells can divide to produce inert daughter cells Photograph courtesy of Martin Hanczyc
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130. Spillerian Perspective “ Cell biology is the new cyberspace and nanotechnology. Once we fully understand the exact nature of how our world makes us and, indeed, how it sometimes kills us, we will be able to make true architectures of ecological connectability.” Spiller’s Bits: Complex Systems Architecture, 2008