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« Descartes was killed by IoT »
by Francois Hamon at GreenCityZen
For more than 400 years, since the French
mathematician Rene Descartes came on the
scene, scientists and engineers have been
guided by his approach to problem-solving.
The Cartesian method, also referred to as
rationalism, uses a systematic process to
reduce concepts to their most basic
elements. It’s a top-down method of
analysis, creating a series of what can be
viewed as series of black boxes, each
embedded with a fixed mathematical
function or algorithm. This deterministic approach created the success of the western technology.
Modern mechanics, electronics, and software designs are mostly
inspired by this reductionism or simplification paradigm.
Nevertheless, in the era of the Internet Of Things the Cartesian
models seems to have reached the limit.
Why does Descartes fail to model the natural world?
Cartesian model considers the physical world as the sum of static and unchanging closed systems. It is an
accurate model when talking about things like tables, chairs, or even a truck. But the model doesn’t work
as well when we talk about open systems cohabitating, exchanging with their environment.
As pointed out by Edgar Morin in [1], most of the systems in the natural world are unstable and continuously
compensating to reach a steady state. As example of this complexity, he points to the flame of a candle, the
circular motion of a whirlpool, a growing organism, thermal regulation. All these phenomena are open
systems, because they exchange energy or material with their environment. These natural systems are in a
constant state of change, triggered by external events, and have the ability to adapt themselves to new
conditions. The Cartesian method struggles to account for these types of open systems.
In the 50’s with the cybernetic theory the American mathematician Norbert Wiener[2] really put Cartesian
thinking to the test. Cybernetics is the cornerstone of
modern-day robotics, and a discipline filled with the
complexity of open systems. In presenting his theory
of cybernetics, Wiener addresses the short-comings
of Descartes, and the Cartesian focus on closed-
system models. Wiener emphasizes the importance of
open-system models, and introduces a major
innovation: the feedback link. When a system
generates some change in its environment, that change is reflected with the feedback link that triggers back
a system change. Feedback loops let systems adapt on a continual basis, and give systems the ability to
regulate their own behavior to reach optimal performance.
Cartesian model or “the blind’s margin”
Up to now, when modeling a system in its natural environment the feedback link was rarely available because
it often needs to probe and sense continuously the environment; most of the time in hard to reach locations.
"Wiener emphasizes the
importance of open-system
models, and introduces a major
innovation: the feedback link”
"Modern industry design
is mostly inspired by
Descartes approach”
Not being able to implement feedback loops in
cybernetic systems has given rise to a
workaround, with built-in margins designed to
accommodate variations in operating
conditions. For example, in gas pipelines, the
system typically includes a 30 percent pressure
margin to ensure delivery to the final node. The pressure margin increases the system’s reliability but,
because the margin is often higher than needed, it ends up wasting resources and reducing overall
performance.
Using margins to make up for the lack of a feedback loop has become common practice, especially in system
engineering, because it lets the operator offset any errors in the system model by using kind of insurance to
protect against the unexpected. The waste produced by these margins is seen as a necessary cost, required
to keep the system in balance over time.
Most of systems in the industry or the city, use that kind of margin, leading to waste of resources and
performance reduction. This is the case for irrigation systems, gas and water distribution, lighting
infrastructure monitoring …
The actual Internet of Thing revolution is here
The arrival of the Internet of Things (IoT), brings the Wiener’s theory of cybernetics in a new phase and
gives scientists and engineers a very good reason to stop using the Cartesian model and wasted margins.
The billions of environment-sensing probes, capable of operating in difficult conditions, are ideally suited
to creating feedback loops in cybernetic systems, even
on a very large scale, and enables dramatic
improvements in how we optimize system performance
and manage resources.
The actual IoT revolution is here: our cities and
industries infrastructures can all take advantage of the
cybernetic models and converge to the optimal
environmental performance and resource delivery.
What if the pipe leaks?
To see the advantage of the cybernetic model over the Cartesian one, let’s consider a watering system for a
greenspace. Using the Cartesian method, we take into account the plant’s watering needs throughout the
year, along with historical weather patterns, which help predict seasonal rain amounts. As shown in Figure
1, the model creates a watering plan, identifying delivery frequency and volume, which is then fed to the
pipe model.
Figure 1: Simple Cartesian model
But what if something unexpected happens? Maybe the pipe leaks, or there’s unusual weather. What then?
Best case, the watering plan’s built-in margin compensates for the unexpected and the greenspace survives,
even though there’s water wasted, due the margin, the rest of the time. Worst case, the greenspace dies.
With the cybernetic model, though, we can introduce a feedback loop. We’ll do so by using a sensor,
connected to the IoT, for soil moisture. The resulting system, shown in Figure 2, can automatically adjust
“The IoT, with its billions of
environment-sensing probes,
spells the end of Descartes and
makes cybernetics a reality on a
large scale.”
“Eliminating the blind margin used in
most industrial and urban systems saves
resources and improves performance.”
the watering instructions in response to unanticipated changes in soil moisture, due to heavy rain, drought,
or even a leaky pipe.
Figure 2: Cybernetic model
The IoT sensor adds bottom-up data to the model, and thereby reduces waste and makes it easier to
highlight and react to unanticipated events. Having the system use an interoperable connection to an
external data source, through the IoT, also creates an efficient way to track external effects on the system.
Each element in the overall system can have the ability to operate autonomously and, over time, the model
becomes dynamic, since it has the ability to auto-correct.
The Death of Descartes
Internet of thing is essentially a way to connect the traditional internet with the physical world.
The IoT puts an end to the reductionist paradigm put forward by Descartes. The IoT lets us move beyond
an object-centric model that uses linear causality with a top-down approach, so we can adopt a holistic
model that is relation-centric and uses recursive causality with a bottom-up approach.
The real world is unpredictable, and the systems we develop to operate in the real world need to cope with
that unpredictability. The IoT provides a better match between models and reality, and as a result does a
better job of dealing with unpredictability, while also saving resources and increasing performance.
[1] Edgar Morin « Introduction to complex thought»
[2] Norbert Wiener « Cybernetics: or Control and Communication in the Animal and the Machine »
Author: Francois Hamon CEO at GreenCityZen
The internet of thing technology offers the opportunity to operate the
systematic or cybernetic transition. It could make the models fitting much
better to reality allowing to save resources, increase performance and
anticipate emergences/emergencies.
About Greencityzen:
GreenCityZen is a greentech pioneer in the industrial Internet of things (IoT) for
industry and smart city. The HummBox is a continuous measurement solution
for the monitoring of environmental data : from the sensor to the dashboard.
Low energy devices, fast deployment and interoperabilty are strong assets to
bring immediate benefits such as reduced costs of field trips, improved process
performance and help to enrich service offerings.

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Why Internet of Things is killing the Cartesian Model

  • 1. « Descartes was killed by IoT » by Francois Hamon at GreenCityZen For more than 400 years, since the French mathematician Rene Descartes came on the scene, scientists and engineers have been guided by his approach to problem-solving. The Cartesian method, also referred to as rationalism, uses a systematic process to reduce concepts to their most basic elements. It’s a top-down method of analysis, creating a series of what can be viewed as series of black boxes, each embedded with a fixed mathematical function or algorithm. This deterministic approach created the success of the western technology. Modern mechanics, electronics, and software designs are mostly inspired by this reductionism or simplification paradigm. Nevertheless, in the era of the Internet Of Things the Cartesian models seems to have reached the limit. Why does Descartes fail to model the natural world? Cartesian model considers the physical world as the sum of static and unchanging closed systems. It is an accurate model when talking about things like tables, chairs, or even a truck. But the model doesn’t work as well when we talk about open systems cohabitating, exchanging with their environment. As pointed out by Edgar Morin in [1], most of the systems in the natural world are unstable and continuously compensating to reach a steady state. As example of this complexity, he points to the flame of a candle, the circular motion of a whirlpool, a growing organism, thermal regulation. All these phenomena are open systems, because they exchange energy or material with their environment. These natural systems are in a constant state of change, triggered by external events, and have the ability to adapt themselves to new conditions. The Cartesian method struggles to account for these types of open systems. In the 50’s with the cybernetic theory the American mathematician Norbert Wiener[2] really put Cartesian thinking to the test. Cybernetics is the cornerstone of modern-day robotics, and a discipline filled with the complexity of open systems. In presenting his theory of cybernetics, Wiener addresses the short-comings of Descartes, and the Cartesian focus on closed- system models. Wiener emphasizes the importance of open-system models, and introduces a major innovation: the feedback link. When a system generates some change in its environment, that change is reflected with the feedback link that triggers back a system change. Feedback loops let systems adapt on a continual basis, and give systems the ability to regulate their own behavior to reach optimal performance. Cartesian model or “the blind’s margin” Up to now, when modeling a system in its natural environment the feedback link was rarely available because it often needs to probe and sense continuously the environment; most of the time in hard to reach locations. "Wiener emphasizes the importance of open-system models, and introduces a major innovation: the feedback link” "Modern industry design is mostly inspired by Descartes approach”
  • 2. Not being able to implement feedback loops in cybernetic systems has given rise to a workaround, with built-in margins designed to accommodate variations in operating conditions. For example, in gas pipelines, the system typically includes a 30 percent pressure margin to ensure delivery to the final node. The pressure margin increases the system’s reliability but, because the margin is often higher than needed, it ends up wasting resources and reducing overall performance. Using margins to make up for the lack of a feedback loop has become common practice, especially in system engineering, because it lets the operator offset any errors in the system model by using kind of insurance to protect against the unexpected. The waste produced by these margins is seen as a necessary cost, required to keep the system in balance over time. Most of systems in the industry or the city, use that kind of margin, leading to waste of resources and performance reduction. This is the case for irrigation systems, gas and water distribution, lighting infrastructure monitoring … The actual Internet of Thing revolution is here The arrival of the Internet of Things (IoT), brings the Wiener’s theory of cybernetics in a new phase and gives scientists and engineers a very good reason to stop using the Cartesian model and wasted margins. The billions of environment-sensing probes, capable of operating in difficult conditions, are ideally suited to creating feedback loops in cybernetic systems, even on a very large scale, and enables dramatic improvements in how we optimize system performance and manage resources. The actual IoT revolution is here: our cities and industries infrastructures can all take advantage of the cybernetic models and converge to the optimal environmental performance and resource delivery. What if the pipe leaks? To see the advantage of the cybernetic model over the Cartesian one, let’s consider a watering system for a greenspace. Using the Cartesian method, we take into account the plant’s watering needs throughout the year, along with historical weather patterns, which help predict seasonal rain amounts. As shown in Figure 1, the model creates a watering plan, identifying delivery frequency and volume, which is then fed to the pipe model. Figure 1: Simple Cartesian model But what if something unexpected happens? Maybe the pipe leaks, or there’s unusual weather. What then? Best case, the watering plan’s built-in margin compensates for the unexpected and the greenspace survives, even though there’s water wasted, due the margin, the rest of the time. Worst case, the greenspace dies. With the cybernetic model, though, we can introduce a feedback loop. We’ll do so by using a sensor, connected to the IoT, for soil moisture. The resulting system, shown in Figure 2, can automatically adjust “The IoT, with its billions of environment-sensing probes, spells the end of Descartes and makes cybernetics a reality on a large scale.” “Eliminating the blind margin used in most industrial and urban systems saves resources and improves performance.”
  • 3. the watering instructions in response to unanticipated changes in soil moisture, due to heavy rain, drought, or even a leaky pipe. Figure 2: Cybernetic model The IoT sensor adds bottom-up data to the model, and thereby reduces waste and makes it easier to highlight and react to unanticipated events. Having the system use an interoperable connection to an external data source, through the IoT, also creates an efficient way to track external effects on the system. Each element in the overall system can have the ability to operate autonomously and, over time, the model becomes dynamic, since it has the ability to auto-correct. The Death of Descartes Internet of thing is essentially a way to connect the traditional internet with the physical world. The IoT puts an end to the reductionist paradigm put forward by Descartes. The IoT lets us move beyond an object-centric model that uses linear causality with a top-down approach, so we can adopt a holistic model that is relation-centric and uses recursive causality with a bottom-up approach. The real world is unpredictable, and the systems we develop to operate in the real world need to cope with that unpredictability. The IoT provides a better match between models and reality, and as a result does a better job of dealing with unpredictability, while also saving resources and increasing performance. [1] Edgar Morin « Introduction to complex thought» [2] Norbert Wiener « Cybernetics: or Control and Communication in the Animal and the Machine » Author: Francois Hamon CEO at GreenCityZen The internet of thing technology offers the opportunity to operate the systematic or cybernetic transition. It could make the models fitting much better to reality allowing to save resources, increase performance and anticipate emergences/emergencies.
  • 4. About Greencityzen: GreenCityZen is a greentech pioneer in the industrial Internet of things (IoT) for industry and smart city. The HummBox is a continuous measurement solution for the monitoring of environmental data : from the sensor to the dashboard. Low energy devices, fast deployment and interoperabilty are strong assets to bring immediate benefits such as reduced costs of field trips, improved process performance and help to enrich service offerings.