This document discusses agility in nature and biological systems. It provides examples of how fish school and flock using simple rules, how ants build structures through local interactions without central planning, and how trees communicate and help each other through mycelial networks. These biological systems exhibit properties of self-organization, emergence and adaptation through decentralized control and local interactions between autonomous agents following simple rules.
Understanding complexity and Why Agile works only if done rightHrishikesh Karekar
An attempt to see agile from the context of complexity theory and why compromising on the basics won't help us be agile. A good understanding of complexity theory and application would help to have a robust agile implementation.
This Presentation were Made By BugsBusters team from faculty of Computers and information, Helwan University - Egypt
IMPORTANT NOTE !!!
Do not view this online or it will not be compatible Download it to view videos and see original slides :))
Adaptive Collective Systems - Herding black sheepFoCAS Initiative
This book is about understanding, designing, controlling, and governing adaptive collective systems. It is intended for readers from master's students to Ph.D. students, from engineers to decision makers, and anyone else who is interested in understanding how technologies are changing the way we think and live.
The authors are academics working in various areas of a new rising field: adaptive collective systems.
Stuart Anderson (The University of Edinburgh, United Kingdom)
Nicolas Bredeche (Université Pierre et Marie Curie, France)
A.E. Eiben (VU University Amsterdam, Netherlands)
George Kampis (DFKI, Germany)
Maarten van Steen (VU University Amsterdam, Netherlands)
Book Sprint collaborative writing session facilitator: Adam Hyde
Editor: Sandra Sarala
Designer: Henrik van Leeuwen
Understanding complexity and Why Agile works only if done rightHrishikesh Karekar
An attempt to see agile from the context of complexity theory and why compromising on the basics won't help us be agile. A good understanding of complexity theory and application would help to have a robust agile implementation.
This Presentation were Made By BugsBusters team from faculty of Computers and information, Helwan University - Egypt
IMPORTANT NOTE !!!
Do not view this online or it will not be compatible Download it to view videos and see original slides :))
Adaptive Collective Systems - Herding black sheepFoCAS Initiative
This book is about understanding, designing, controlling, and governing adaptive collective systems. It is intended for readers from master's students to Ph.D. students, from engineers to decision makers, and anyone else who is interested in understanding how technologies are changing the way we think and live.
The authors are academics working in various areas of a new rising field: adaptive collective systems.
Stuart Anderson (The University of Edinburgh, United Kingdom)
Nicolas Bredeche (Université Pierre et Marie Curie, France)
A.E. Eiben (VU University Amsterdam, Netherlands)
George Kampis (DFKI, Germany)
Maarten van Steen (VU University Amsterdam, Netherlands)
Book Sprint collaborative writing session facilitator: Adam Hyde
Editor: Sandra Sarala
Designer: Henrik van Leeuwen
An intelligent agent perceives its environment via sensors and acts upon that environment with its effectors.
A discrete agent receives percepts one at a time, and maps this percept sequence to a sequence of discrete actions.
Properties
Autonomous
Reactive to the environment
Pro-active (goal-directed)
Interacts with other agents
via the environment
Humans
Sensors: Eyes (vision), ears (hearing), skin (touch), tongue (gustation), nose (olfaction), neuromuscular system (proprioception)
Percepts:
At the lowest level – electrical signals from these sensors
After preprocessing – objects in the visual field (location, textures, colors, …), auditory streams (pitch, loudness, direction), …
Effectors: limbs, digits, eyes, tongue, …
Actions: lift a finger, turn left, walk, run, carry an object, …
The Point: percepts and actions need to be carefully defined, possibly at different levels of abstraction
Musings - System thinking - Notes on Donella Meadow's BookJames Cracknell
System Thinking - the what, the how and the why it is needed in developing an understanding the complexity that surrounds us. Mental models, the application and means to change the system
Vicki Alexander Herriott, J.D., LL.M.
Associate Professor of Law and Government
Co-chair of the Department
B.A., Wellesley College
J.D., Boston University of Law
LL.M., New York University School of Law
Vicki retired from the full-time practice of law in 1983 to co-found the Institute for Research on Consciousness and Human Development with her late husband, Charles (Skip) Alexander. Under the auspices of the Institute they studied the effects of the practice of TM on a variety of populations including a project with institutionalized elderly and groundbreaking research in Israel on the effects of the collective practice of the advanced TM and TM Sidhi program on society as a whole. Vicki teaches Business Law, Taxation, Human Resource Management, Mediation and Negotiation, and Environmental Law. She is currently studying the natural laws relating to management and decision-making.
Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. The concept is employed in work on artificial intelligence. The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems.
Artificial Intelligence (AI) is the buzzword there days, wherever we go. However some of the fundamentals / foundations required to program AI remains same as in Embedded Systems. The purpose of this talk is to introduce participants what an Artificial System is, how is it different from conventional system programming. It will provide a basic view of AI architecture and introduce audience with technologies / languages / tools. By the end of the talk audience will get basic knowledge of how AI system can be implemented.
These are the slides which I used is a 3 day workshop which I gave to university students in Brazil. Any feedback, and additional material that I could use (text, pictures, cartoons or videos), very gratefully received.
An intelligent agent perceives its environment via sensors and acts upon that environment with its effectors.
A discrete agent receives percepts one at a time, and maps this percept sequence to a sequence of discrete actions.
Properties
Autonomous
Reactive to the environment
Pro-active (goal-directed)
Interacts with other agents
via the environment
Humans
Sensors: Eyes (vision), ears (hearing), skin (touch), tongue (gustation), nose (olfaction), neuromuscular system (proprioception)
Percepts:
At the lowest level – electrical signals from these sensors
After preprocessing – objects in the visual field (location, textures, colors, …), auditory streams (pitch, loudness, direction), …
Effectors: limbs, digits, eyes, tongue, …
Actions: lift a finger, turn left, walk, run, carry an object, …
The Point: percepts and actions need to be carefully defined, possibly at different levels of abstraction
Musings - System thinking - Notes on Donella Meadow's BookJames Cracknell
System Thinking - the what, the how and the why it is needed in developing an understanding the complexity that surrounds us. Mental models, the application and means to change the system
Vicki Alexander Herriott, J.D., LL.M.
Associate Professor of Law and Government
Co-chair of the Department
B.A., Wellesley College
J.D., Boston University of Law
LL.M., New York University School of Law
Vicki retired from the full-time practice of law in 1983 to co-found the Institute for Research on Consciousness and Human Development with her late husband, Charles (Skip) Alexander. Under the auspices of the Institute they studied the effects of the practice of TM on a variety of populations including a project with institutionalized elderly and groundbreaking research in Israel on the effects of the collective practice of the advanced TM and TM Sidhi program on society as a whole. Vicki teaches Business Law, Taxation, Human Resource Management, Mediation and Negotiation, and Environmental Law. She is currently studying the natural laws relating to management and decision-making.
Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. The concept is employed in work on artificial intelligence. The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems.
Artificial Intelligence (AI) is the buzzword there days, wherever we go. However some of the fundamentals / foundations required to program AI remains same as in Embedded Systems. The purpose of this talk is to introduce participants what an Artificial System is, how is it different from conventional system programming. It will provide a basic view of AI architecture and introduce audience with technologies / languages / tools. By the end of the talk audience will get basic knowledge of how AI system can be implemented.
These are the slides which I used is a 3 day workshop which I gave to university students in Brazil. Any feedback, and additional material that I could use (text, pictures, cartoons or videos), very gratefully received.
In this talk, I have discussed the issues around the need to recognize the business problem being solved, how to identify that, etc. rather than only focusing on the tech.
In this talk for the students of IIM Udaipur, I have discussed how AI as technology needs to deliver business value in order for AI as a discipline to be seen as relevant to business. I have also spoken briefly about my own research work.
What is #ThoughtLeadership? Is it mindless self-promotion, or is it more like some fancy management fad? Is it more like your social media presence, or sharing stories? What is the real deal here? In this talk, I have shared some ideas from others, and also some of my own learning over the years. Hope you find the answers you were looking for...
How does one go about blogging? Or, why to even blog in the first place? In this talk, I have shared some of my key learning over last 15 years of blogging
I delivered this guest lecture for the marketing team of Corteva Agriscience undergoing an executive program at ISB, Hyderabad. I have explained what is digital business model innovation, and how it could apply to agrobusinesses.
25 Years of Evolution of Software Product Management: A practitioner's perspe...Tathagat Varma
How has the role and function of product management evolved over the years? In this talk, I have shared my notes from my personal journey over the last 25 years.
WRI’s brand new “Food Service Playbook for Promoting Sustainable Food Choices” gives food service operators the very latest strategies for creating dining environments that empower consumers to choose sustainable, plant-rich dishes. This research builds off our first guide for food service, now with industry experience and insights from nearly 350 academic trials.
Natural farming @ Dr. Siddhartha S. Jena.pptxsidjena70
A brief about organic farming/ Natural farming/ Zero budget natural farming/ Subash Palekar Natural farming which keeps us and environment safe and healthy. Next gen Agricultural practices of chemical free farming.
Characterization and the Kinetics of drying at the drying oven and with micro...Open Access Research Paper
The objective of this work is to contribute to valorization de Nephelium lappaceum by the characterization of kinetics of drying of seeds of Nephelium lappaceum. The seeds were dehydrated until a constant mass respectively in a drying oven and a microwawe oven. The temperatures and the powers of drying are respectively: 50, 60 and 70°C and 140, 280 and 420 W. The results show that the curves of drying of seeds of Nephelium lappaceum do not present a phase of constant kinetics. The coefficients of diffusion vary between 2.09.10-8 to 2.98. 10-8m-2/s in the interval of 50°C at 70°C and between 4.83×10-07 at 9.04×10-07 m-8/s for the powers going of 140 W with 420 W the relation between Arrhenius and a value of energy of activation of 16.49 kJ. mol-1 expressed the effect of the temperature on effective diffusivity.
Artificial Reefs by Kuddle Life Foundation - May 2024punit537210
Situated in Pondicherry, India, Kuddle Life Foundation is a charitable, non-profit and non-governmental organization (NGO) dedicated to improving the living standards of coastal communities and simultaneously placing a strong emphasis on the protection of marine ecosystems.
One of the key areas we work in is Artificial Reefs. This presentation captures our journey so far and our learnings. We hope you get as excited about marine conservation and artificial reefs as we are.
Please visit our website: https://kuddlelife.org
Our Instagram channel:
@kuddlelifefoundation
Our Linkedin Page:
https://www.linkedin.com/company/kuddlelifefoundation/
and write to us if you have any questions:
info@kuddlelife.org
"Understanding the Carbon Cycle: Processes, Human Impacts, and Strategies for...MMariSelvam4
The carbon cycle is a critical component of Earth's environmental system, governing the movement and transformation of carbon through various reservoirs, including the atmosphere, oceans, soil, and living organisms. This complex cycle involves several key processes such as photosynthesis, respiration, decomposition, and carbon sequestration, each contributing to the regulation of carbon levels on the planet.
Human activities, particularly fossil fuel combustion and deforestation, have significantly altered the natural carbon cycle, leading to increased atmospheric carbon dioxide concentrations and driving climate change. Understanding the intricacies of the carbon cycle is essential for assessing the impacts of these changes and developing effective mitigation strategies.
By studying the carbon cycle, scientists can identify carbon sources and sinks, measure carbon fluxes, and predict future trends. This knowledge is crucial for crafting policies aimed at reducing carbon emissions, enhancing carbon storage, and promoting sustainable practices. The carbon cycle's interplay with climate systems, ecosystems, and human activities underscores its importance in maintaining a stable and healthy planet.
In-depth exploration of the carbon cycle reveals the delicate balance required to sustain life and the urgent need to address anthropogenic influences. Through research, education, and policy, we can work towards restoring equilibrium in the carbon cycle and ensuring a sustainable future for generations to come.
Willie Nelson Net Worth: A Journey Through Music, Movies, and Business Venturesgreendigital
Willie Nelson is a name that resonates within the world of music and entertainment. Known for his unique voice, and masterful guitar skills. and an extraordinary career spanning several decades. Nelson has become a legend in the country music scene. But, his influence extends far beyond the realm of music. with ventures in acting, writing, activism, and business. This comprehensive article delves into Willie Nelson net worth. exploring the various facets of his career that have contributed to his large fortune.
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Introduction
Willie Nelson net worth is a testament to his enduring influence and success in many fields. Born on April 29, 1933, in Abbott, Texas. Nelson's journey from a humble beginning to becoming one of the most iconic figures in American music is nothing short of inspirational. His net worth, which estimated to be around $25 million as of 2024. reflects a career that is as diverse as it is prolific.
Early Life and Musical Beginnings
Humble Origins
Willie Hugh Nelson was born during the Great Depression. a time of significant economic hardship in the United States. Raised by his grandparents. Nelson found solace and inspiration in music from an early age. His grandmother taught him to play the guitar. setting the stage for what would become an illustrious career.
First Steps in Music
Nelson's initial foray into the music industry was fraught with challenges. He moved to Nashville, Tennessee, to pursue his dreams, but success did not come . Working as a songwriter, Nelson penned hits for other artists. which helped him gain a foothold in the competitive music scene. His songwriting skills contributed to his early earnings. laying the foundation for his net worth.
Rise to Stardom
Breakthrough Albums
The 1970s marked a turning point in Willie Nelson's career. His albums "Shotgun Willie" (1973), "Red Headed Stranger" (1975). and "Stardust" (1978) received critical acclaim and commercial success. These albums not only solidified his position in the country music genre. but also introduced his music to a broader audience. The success of these albums played a crucial role in boosting Willie Nelson net worth.
Iconic Songs
Willie Nelson net worth is also attributed to his extensive catalog of hit songs. Tracks like "Blue Eyes Crying in the Rain," "On the Road Again," and "Always on My Mind" have become timeless classics. These songs have not only earned Nelson large royalties but have also ensured his continued relevance in the music industry.
Acting and Film Career
Hollywood Ventures
In addition to his music career, Willie Nelson has also made a mark in Hollywood. His distinctive personality and on-screen presence have landed him roles in several films and television shows. Notable appearances include roles in "The Electric Horseman" (1979), "Honeysuckle Rose" (1980), and "Barbarosa" (1982). These acting gigs have added a significant amount to Willie Nelson net worth.
Television Appearances
Nelson's char
2. What is agility?
The ability of a body, organism or a system to sustain and grow
by being able to:
• sense, analyse and comprehend expected and unexpected
situations as they unfold,
• respond and organise, self and collectively, quickly and
gracefully to planned and unplanned changes,
• anticipate potential issues and avoid or mitigate them as
required or as possible,
• exploit unexpected opportunities and maximise gains before
they dry up,
• initiate potential game-changing ideas well-ahead of the
opportunity, and
• learn and adapt from previous experiences, make
sustainable improvements and evolve on continuous basis.
10. Huth & Wissel, 1992?
•The motion of a fish is only influenced by the position and orientation of its
nearest neighbors.
•The new velocity and the turning angle of each fish (after a time step) are
calculated by probability distributions taking into account random influences.
•The movement of each model fish is based upon the same behavior model,
i.e. the modeled fish group swims without a leader.
•The basic behavior patterns are attraction (be near fish of same species to
avoid oddity effect), repulsion (avoid collision if too close) and parallel
orientation (neighbors in 0.3 to 3 body length)
14. BOIDS, 1986
Separation:
steer to avoid
crowding local
flockmates.
Collision
Avoidance.
Alignment:
steer towards the
average heading of
local flockmates.
Velocity
Matching.
Cohesion:
steer to move
toward the average
position of local
flockmates. Flock
Centering.
A Boid’s
Neighborhood::
flockmates outside
this are ignored
23. ANT COLONIES
• Ants often make tall structures (at least on “ant-scale”) out
of dirt. Sometimes, even using themselves!
• Ant Colonies don’t have any centralized planning or
leadership, or “process”
• Ants can’t detect anything far away! Most can’t see,
• They can only smell using their antennae, or use it for
touching.
• So, how do they do it?
24. HOW ANTS DO IT?
• Local interactions among individual ants is the key
• GuyTheraulaz and team observed there are just three simple rules handling
grains of sand:
• Pickup grain at constant rate (~2 grains/minute)
• Drop near other grains
• Choose grains previously handled by other ants
• In case of ant rafts, they simply form air pockets at local interactions
• As soon as they find a gap on the road, they start forming the bridge, and
only dismantle when the “load” lightens up
26. COMPLEX SYSTEM
A system in which large networks of components with no central control and
simple rules of operation give rise to complex collective behavior,
sophisticated information processing, and adaptation via learning or evolution.
27. COMMON
PROPERTIES
Autonomous agents: simple behavior
Complex collective behavior
Simple rules
No central command or control
Hard to predict the next immediate step
Signaling among agents
Adaptation
Self-organization
Emergence
Dynamic
30. SELF-ORGANIZING
Systems in which organized behavior arises without an internal or
external controller or leader are sometimes called self-organizing.