The man and the machine manifesto

“Self-organised systems, lie all around us. There are quagmires, the fish in the sea, or intractable systems like clouds. Surely, we can make these work things out for us, act as our control mechanisms, perhaps most important of all, we can couple these seemingly uncontrollable entities together so that they can control each other. Why not, for example, couple the traffic chaos in Chicago to the traffic chaos in New York in order to obtain an acceptably self-organising whole? Why not associate brains to achieve a group intelligence?”

Gordon Pask, The natural history of networks

 

Today there is a shadow or sense of doubt if we as humans want machines to think or to do – some people already argue they do think, detached from the consciousness bond – and it would replace humanity soon, as many others advocate singularity is near with systems that can adapt themselves, command, control other systems, something as Douglas Hofstadter referred to “tangled recursion” as an example of machine intelligence.
I ultimately believe that humans and powered AI machines will work together, not compete against each other. Humans will be much more empowered by the symbiotic combination of machine work, meaning that we will need to continuous to adapt to rather than become indispensables, we increase our own capabilities.
However, there are many untamed challenges in terms of such man and machine symbiosis, as we the human species, have the responsibility to define by which rules we want to live, as machines progress in new areas, changing the foundations on our society is organized, as per bellow.

Governance
Much has been discussed how to define machine design rules and relevant regulation. Some experts believe that is the hands of humans to define such rules and while machines are tightly controlled by humans we can define how machines should be engineered. However, some examples related with war machines, demonstrate that Isaac Asimov’s laws do not apply anymore, once the potential for harm is increasing rapidly.
Hence the challenge stands. Consider the scenario of an intelligent medical system that provides counselling and advisory, induces a medical doctor with error. Who is responsible? The Doctor? The system? The entity that conceived the system? The trainer that trained the system to make decisions, based on a knowledge base? How do we deal with human life loss? Regulatory bodies for the engineering profession or other domain expertise, have clearly defined rules for design or professional act decisions, made by humans, however, in terms of machines endowed with any kind of intelligence, governance appears missing and there is no common broad agreement.

Societal impact, innovation and economy growth
There is no doubt that technology was always the common denominator that sparked economic growth, the press, steam engines and lastly the internet, created in three different moments in time tectonic shifts. However, prosperity also contributes to unemployment. Technology tends to automate at scale and replace repetitive tasks, but the last wave of technological developments is already targeting knowledge workers as well. Hence, the challenge is not related with low income workers only. The balancing act should be how the use of technology can contribute to higher living standards, diminish inequality and drive inclusion.

Human and Machine Interface
Mixed reality is becoming a popular interface in human-computer interaction for combining virtual and real-world environments, and it has recently been a common technique for human-robot interaction, it price is however a barrier for adoption and creates digital imparity. Natural language processing is becoming another de-facto interface, applied for example on business to consumer interactions, but some questions are still not addressed in terms of humans that speak a language blending influence of their own culture that a machine is not aware of. Despite the advance interacting with devices like smartphones, as technology progresses, it is relevant do involve interface designers to make a reflection how machines affect human to human interactions and human to machine interactions.

Ethics
Tackling the trade-off between privacy and security is today already a challenge, related to the fundamental but complex separation between what constitutes the private and the public space of an individual. The definition of a concept, a domain, is a consequence of the surroundings, of the environment we live and the multitude of human principles and beliefs. What in a society can be accepted as a practice, in another can be condemned. The concept of privacy is constantly being redefined to a point that can be transform into a matter of transparency, for example, sharing publicly your taxes declarations if you are a politician. How we deal with ethics in terms of a machine that have access and share our medical records that will make decisions in terms of triage or sense of urgency related with medical treatment? It’s in ethical that a machine can make judgment about predicting future crimes or provide a credit risk score based on data that is related with our profiles?

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Would you consider ethical to create a system that reproduces an nonexistence life form in other medium?

Wired published a story about a son that knew that he was just about to lose his father and created a BOT, called DadBot, to preserve his existence. The story can be found here.

As I finished reading the article two, above many other questions came to my mind:

  1. It is ethical to preserve the existence of a living being after his death? The definition of a concept, a domain, is a consequence of the surroundings, of the environment we live and the multitude of human principles and beliefs. What in a society can be accepted as a practice, in another can be condemned. Now, I believe because this is a foundational universe functioning rule, that what is born it will die. We all know that we want to preserve the life of our beloved ones and definitively there are scientific studies that demonstrate how positive it is to create other ways of engagement with a person that does not inhabit our world. However, is my belief that recognizing that someone died, implies we cannot recreate interaction. One can argue that browse pictures or watch videos is another way of interacting. Would you consider ethical to create a system that reproduces an nonexistence life form in other medium?
  2. How fast the system is going to become obsolete? James Vlhaos, refers that he collected information from his father in a way that the BOT could later share stories and past experiences with the interlocutor. He provides an example how the system is context aware and interacts with the user remembering past stories that were lived together, “Remember that big barbecue dinner they hosted for us at the taverna?” – he writes – nevertheless, what happens when there are no more stories to tell? Are we interested in repeat the experience until exhaustion is reached? One can argue that is the precise function of the system and immortality is reached. If you want to know about a person, particularly younger generations that never met that person, they can get acquainted without facing the risk of facts distortion or even loss, as it happens when the elder generations die and the memories are washed away with the dead. On the other hand, this is another way to preserve the bond, the ties and the affection, like it happens in real life and people like to repeat the same stories over and over to create that sense of collective existence. Last, how do you as a solution architect, a designer, choose the content? Image that your relative committed war crimes, something that second world war generations need to deal with in Germany, would you recreate the life of your siblings, your grandfather if you knew he committed such crimes, would you hide those facts or would you expose it?

BPM Conference Portugal 2017 – an event in review

“Recursive enumeration is a process in which new things emerge from old fixed rules. There seem to be many surprises in such process […]. Recursively defined sequences […] possess some sort of inherently increasing complexity of behavior, so that the further out you go, the less predictable they get. This kind of thought carried a little further suggests that suitably complicated recursive systems might be strong enough to breakout of any predetermined patterns. And isn’t this one of the defining properties of intelligence? Instead of just considering programs composed of procedures which can recursively call themselves, why not get really sophisticated, and invent programs which can modify themselves, programs which can act on programs, extending them, improving them, generalizing them, fixing them, and so on? This kind of “tangled recursion” probably lies at the heart of intelligence.”

Douglas R. Hofstadter – Gödel, Escher, Bach: an eternal Golden Braid – a metaphorical fugue on minds and machines in the spirit of Lewis Carroll

Artificial Intelligence (AI) I is democratizing societal change, evolving human progress by helping people and enterprises innovate in ways not previously possible. Paul Harmon presented a historic – still important, perspective how long is the road of Artificial Intelligence materialization. Technologies like machine learning; vision and natural language processing technologies are blended together, and ultimately, platforms with intelligent technologies are integrated into interactive systems to enhance human cognition. His point of view was to bring awareness that most of these technologies exists since the 80’s, but for reasons related with low ROI, lack of investment on research and development that expanded existing rudimentary features took time to materialize. However, as Paul pointed the time to adopt AI is now. Making a profit and achieving success through innovation and process improvement. He gave the example that in banking industry, mobile app’s is no longer enough, applications that can talk to customers and announce decisions is the next logical step if a bank want to stay ahead of competition.

Ross Brow, brought the perspective on by using 3D environments, virtual reality and gamming, it is possible to augment human creativity, empathy, emotion, and judgment with the computational speed and ability to analyze business processes. I particularly liked the examples around passenger movement in airports or the other one, a case management back-office process on which using those technologies it is possible to process large amounts of data see and fell the business process moving, identifying bottlenecks and discover new improvement opportunities. Ross presentation was an eye opener how you can use virtual environments to support business transformation. In an era of a multitude of tools and techniques used to reinvent a business, virtual reality – still perceived as a domestic consumer technology used for entertainment – is definitively a groundbreaking disruption approach to innovate an enterprise.

Manuela Veloso talked about robots, not in the factory floor context, but in the personal digital assistant field. Digital assistants get to know the people they serve over time so they can provide a personal and helpful service. Manuela stressed the long road ahead in terms on what is needed to robots to learn. By the implementation of computer vision, robots gain sight so they can detect objects, create space awareness and by the combination or learning human instructions they can move and serve humans augmenting human tasks in the workplace. However, the day were robots will combine multiple AI technologies and be able to unleash a much wide possibilities in the business context is still not a reality – the example she provided on how a robot can open all the possible door handles existing in the world and move freely on a building is still something far from reality, as it is the application of our all dreams in terms of machine powered devices.

Bianca Furtuna, presented a comprehensive perspective on AI, by making applications and devices intelligent and giving them the capability to comprehend and interact with the world naturally, organizations can continue to improve human to machine interactions in powerful way. She described a compendium of technologies that can be used as the new capabilities to drive business transformation. Vision can be used from object detection to face recognition and emotions; natural language processing used to recognize intent including jargon and local culture references or even language blend as it occurs in multi-lingual language countries and search to help humans find specific information in knowledge repositories together with context awareness to provide more relevant information.

Paulo Cortez, went through a series of real examples where AI is being used already today. I particularly liked the mass personalization in banking industry, which financial institution collects and consolidates customer’s preferences, behaviors, likes and dislikes, and expectations, way beyond transactional banking and get personal recommendations about the kind of financial products that fits their truly needs and wants. As he pointed out, intelligence gets personal.

If there was shadow or sense of doubt over this event edition was definitively if machines could think and it would replace humanity. The effect of singularity or machine domination is still a conceptual fantasy mostly driven by science fiction movies and delusional predictions that keep being postponed year after year. I ultimately believe – and this was one of the major conclusions of the event which many attendees confirmed during some brief talks I have with them – that humans and powered AI machines will work together, not compete against each other. Humans will be much more empowered by the symbiotic combination of machine work, meaning that we will need to continuous to adapt to rather than become indispensables, we increase our own capabilities.

2016 edition summary can be found here.

 

BPM Conference Portugal 2017 – Agenda Synopsis

Artificial Intelligence (A.I.) is for the time being and important new domain to be discussed. As far I am concerned, perhaps the most productive debate we can have at the conference in the 2017 edition isn’t the one of good versus evil, the rise of the machines or singularity is near. The debate could be about the guidelines instilled in the people and organizations using A.I., something that cybernetics tried to push back in the 60’s.

Why the human element still matters?
While demand for efficient, transactional, prediction-driven workplace systems is on the rise, just look around you and you will realize that most of the interactions you have with companies or even to perform daily tasks – like find the better route to commute – have embedded intelligence and are context aware, taking into consideration your location, profile and transactional history. However, there are a set of skills we seemingly don’t want systems to perform. Despite new techniques like deep learning are denting our ability to prevent we will become dispensable, emotional intelligence is said to be among the fastest-growing job skills, and some experts say the ability to collaborate and listen thoughtfully can even protect your position and help advance your career over the next decade as automation progresses. This is probably the reason that contact centers were not totally replaced by robots. Yet.

Ultimately, humans and machines will work together, not against one another. This is already a reality. Imagine if human and machine work together to solve society’s greatest challenges like providing healthcare services, probably one of the areas on which we have seen the deepest progress, as well as, fighting insurgency and keep our cities safe. As machines become more intelligent, they become more capable and we can rely for daily or even knowledge intensive tasks. Businesses of all industry verticals will benefit from these new systems of intelligence machines that can better detect image patterns, process natural language and make informed decisions. This is the reason why you attend Paul Harmon session. Paul is a legend in Business Process Management, probably is one of the best domain knowledge experts I ever came across. His experience is legendary and he will focus about the looming of AI in a multitude of industry sectors, as well as what it means in terms of process design and execution.

For many business, the new spectrum of possibilities provides not just an opportunity to automate processes and become more efficient, but to fundamentally change business models under the new digital transformation moto. Many of today’s advances breakthroughs can be attributed to evolution in machine learning. Machine Learning, is being used across many industry sectors, like Financials and Healthcare.  This kind of supervised learning means that we can convert data into intelligence in the sense that these networks can look for patterns or features in the data they are given. Paulo Cortez is going to talk about how AI can be used to extend our life expectancy, by predicting human organ failure or real examples on prescription marking in Financials, also known as next best action, a technique that induces spending on financials products based on real customer needs and desires.

Now is the time for greater coordination and collaboration on A.I. New kinds of services such as personal digital assistants, chat bots and so on are also defining new ways of interacting with humans. However, we simply don’t want to chat to a smartphone. We need a sense of friendliness that can enhance customer’s perceptions of the company. Bianca Fortuna is going to talk about a convergence of several technologies to make some extraordinary advances in terms of operation management.

For businesses, the new possibilities provide not just an opportunity to automate processes and become more efficient, but to fundamentally change the way they operate. Ross Brown, is in my opinion, one of the most prominent researchers in terms of process simulation, optimization in virtual worlds. When everybody was still stick to simulation tools, Ross was leading the way using new concepts like 3D simulation and today he is applying mixed reality approaches to explore the next frontier in terms of process optimization.

A.I. must be designed to assist humanity. I firmly believe on it. As we build more autonomous machines, we need to respect human autonomy. Collaborative robots, or co-bots, should do dangerous work like operating in hazardous environments, creating a safety wall and safeguarding human life, combined with vital sign monitoring to prevent human life loss. We are now at the tipping point where we are seeing a convergence of several technologies, robots included that jumped from the factory floor to the office space. That is the reason of the relevance of Manuela Veloso talk and how we can co-work together with robots.

I am looking forward to see you at the conference.

BPM Conference Portugal 2017 – Artificial Intelligence

BPM Conference Portugal 2017 is going to talk about artificial intelligence.

Artificial Intelligence (A.I.) is for the time being and important new domain to be discussed. As far I am concerned, perhaps the most productive debate we can have at the conference in the 2017 edition isn’t the one of good versus evil, the rise of the machines or singularity is near. The debate could be about the guidelines instilled in the people and organizations using A.I., something that cybernetics tried to push back in the 60’s.

Why the human element still matters?
At the same time that demand for efficient, transactional, prediction-driven workplace systems is on the rise, just look around you and you will realize that most of the interactions you have with companies or even to perform daily tasks – like find the better route to commute – have embedded intelligence and are context aware, taking into consideration your location, profile and transactional history. However, there are a set of skills we seemingly don’t want systems to perform. Despite new techniques like deep learning are denting our ability to prevent we will become dispensable, emotional intelligence is said to be among the fastest-growing job skills, and some experts say the ability to collaborate and listen thoughtfully can even protect your position and help advance your career over the next decade as automation progresses. This is probably the reason that contact centers were not totally replaced by robots. Yet.

Ultimately, humans and machines will work together, not against one another. This is already a reality. Imagine if human and machine work together to solve society’s greatest challenges like providing healthcare services, probably one of the areas on which we have seen the deepest progress, as well as, fighting insurgency and keep our cities safe. Other area that is being disrupted is transportation. Some car manufacturing companies are already assuming that in the future most of the people will not own a vehicle and autonomous commute will be a de facto-standard in high density population areas.
This is probably one of the most sensitive areas of discussion, but we will see that today we can do much better humans if we combine our work together with A.I. systems.
How to enforce principles in the design of A.I. systems?
I would argue that perhaps the most productive debate we can have isn’t one of good versus evil. The debate should be about the values instilled in the people and institutions creating this technology. We must enforce technology with protections for privacy, transparency, and security. A.I. must be designed to detect new threats and devise appropriate protection and must be inclusive and respectful to the human being. This put an extra challenge –  more than discussing on rules, policies and how to implemented coding, is the foundation principle on what is right and what is wrong. The definition of a concept, a domain, is a consequence of the surroundings, of the environment we live and the multitude of human principles and beliefs. What in a society can be accepted as a practice, in other can be condemned.
If in the future A.I. can bring transparency, in what kind of transparent society we want to live? Being transparent means you are not afraid of hiding your medical records because it can save your life, as also you are not afraid of exposing your earnings and tax situation. Becoming transparent will also contribute to avoid crime, bribery, and corruption? Or being transparent is the realization of the classic Orwellian apocalypse that looms and take control of our society? Anyway, from a solution design perspective it is necessary to define the particulars about data protection and security, among others, setting-up specific rules concerning the processing of personal data in the electronic communication sector. What people most often want is a sense of control over their data (even if they don’t exercise this control very often). Many people feel that this control is a fundamental human right (thinking of personal data as an extension of the self), or an essential part of your property rights to your data.
To that end, this is something we must debate during the event.
Will A. I. power the next industrial revolution?
Advances in technology is powering the next industrial revolution, basically blurring the physical and the digitaldivide. Technology is today omnipresent. Capitalizing on this phenomenon is the key to innovation. From the rise of A.I. and related technologies, the challenge and opportunity for business leaders is to harness the ubiquitous, disruptive force of technology to be more agile, fuel efficiency and ultimately shape the shape of the industry destiny. Definitely in this next industrial revolution, we are facing a range of new technologies that combine the physical, digital and biological worlds. Failure to understand how to embrace A.I. into operations and business models, may end up of being out of market.
Having said this, should companies do a deep dive with A.I. or not?
How can we put A.I. work for the goodness of our own society?
For healthcare, A.I. can advance recommend the most effective treatments for their patients, as well as, predict human body organs failure and increase our life expectancy.
For transportation, A.I. can improve the efficiency transportation systems, integrating supply chain on real time, prevent incidents, optimize the fuel consumption and safety and support maintenance of infrastructure.
For public safety, A.I. can deploy predictive models for crime and help security forces to find associations in massive amounts of information to spot insurgency and handle complex crime cases.
For financial services, A.I. can manage must better risk exposure, by ingesting millions of data segments used in risk models, reduce fraud and tax evasion, assist in providing the best insurance coverage at the right cost combining data provided by the customer and its relationships.
For individuals, A.I. can assist humans in developing personalized recommendations based on the stage of life the individual is, combining data about the individual preferences, beliefs and transactions.
In this globalized world, economy growth crucially depends upon the creation of new business models that rewards more effective outcomes and overall benefits to society. If business model innovation was always behind differentiation and competitive advantage, A.I. is for sure a technology can enable a more innovative society.

Digital Banks – Providing Banking Platform as Service

During the course of last two weeks, I was involved with a series of workshops with the IT department of a bank that operates in more than 30 countries. The workshops objective was to define a digital banking transformation roadmap.

During many years, for those that are involved in BPM projects have discussed the meaning of what is the definition of end-to end processes. One of the classic examples in the banking industry is when the account opening process ends. It ends when the account number is created or it ends when all the channels which the customer can consume financial services and execute operations are available and operative?

Today, opening a bank account trough a friction-less process is not a common desire. The wish of any customer that belong to retail banking is how it can construct the Bank of Me, how it can incorporate using the bank mobile app making transactions with 3rd parties, like a youngster paying the school fees, do social banking (transfers, borrowing from Facebook friends). Corporate banking, oriented to trading operations, which to integrate supply chain operations between, customers, suppliers, road haulage companies, combining the flow of documents, status of merchandise movement and money transfers.

Five years ago, under the new e-CMR regulation, there was the possibility in road freight to eliminate the famous paper based system (that still exists) and exchange information digitally between all the involved stakeholders – buyer, seller, transport company and banks [1]. The CMR is a document that underpins the legal transport contract between a seller, a transport company and a buyer. It ensures the goods were shipped and received accordingly, on which banks rely to wire the money between the involved trading parties. Without such a document, financial transactions are halted, supply chain document reconciliation is blocked, as well as financial close activities. Now, that piece of document travels physically in the truck. Some long haul trucks return to logistics head quarters every 15 days – because they need to optimise cargo utilisation, a key KPI for business viability – this means only when the physical CMR arrives to the logistics back office, payment processes between buyer and seller can start (digital copies are ignored, due fraud and contractual implications between the parties involved). In such kind of transactions there is room for optimisation and automation, but unless companies do not embrace the concept of open systems architecture is very unlikely that operations will suffer from the tangled syndrome.

The era of Open Socio-technical Systems

Fred Emery defined and evolved the concept [2] and defined such kind of systems as:

“Is a purposeful system composed of an interrelated social component (people, culture, norms,) and technical component (technology, tools, materials) which is embedded in a greater context, an environment, which the system is influenced by and also influences.”

Later, Merrelyn Emery [3] evolved the concept to “Socioecological” means:

“people-in-environments,” which is expressed by the concept of the open system […] expresses the transaction of system and environment, all components of which are governed by laws which are able to be known. “

Gartner [4] defines in the Magic Quadrant for Enterprise Integration Platform as a Service:

“integration platform as a service (iPaaS) is a cloud service that provides a platform to support application, data and process integration projects, usually involving a combination of cloud-based applications and data sources, APIs [5] and on-premises systems”.

Gartner single focus in the technical platform enablement plays the de-stratification of the Open Socio-technical Systems that goes against experimentation, multiplicity and intense social human interaction and important component of Open systems. When designing IT strategy, the peril for the CIO and the IT teams is to overdose the enterprise with integration technology and superpower the enterprise service bus, over-dosing on too much de-stratification decoupled from the new business models and human relationship management of digital banking.

Providing Banking Platform as Service

Exposing the Banking Platform As a Service – BPAaS, allows banking services to talk to other services. In this sense, leveraging on API allows you to open up data and functionality to other developers, to other businesses or even between departments and locations within the bank. It is increasingly the way in which banks exchange data, services and complex resources, both internally, externally with partners, and openly with the public.

BPAaS, can provide a common root so that transactions can flow from wherever they originate: mobile apps, integrations with clients, the client’s website or physical devices. All mapped into a strong ecosystems of partners that repurpose, resell and re-bundle assets to reach new customer segments – like the millennials – that the bank could never have reached alone.

Imagine for example, you want to offer a mortgage service coming from a real estate website or you want to open the possibility to customers subscribe financial products from 3rd party, like Brokers or the case were the bank can outsource loan services to partners keeping costs low. Providing the banking platform allows customers and partners to integrate them as a self-service adapted to their particular needs or bringing the reality of the Bank of Me.

Regulation want banks to embrace open ecosystems
The UK regulator, issued a report [6] that sates in the remedies section:

“mobile banking tools have been rapidly adopted, and a growing financial technology (‘FinTech’) sector is developing and applying new tools. Application programming interfaces (APIs) will allow publicly available data and customers’ own data to be shared with trusted third parties, and ‘open standard’ APIs can be particularly powerful (with necessary safeguards for security and privacy) in opening up new customer information and advice services.”

 

CMA states clearly about the importance of:

“development and implementation of an open API banking standard has the greatest potential to transform competition in retail banking markets […] by making it much easier for both personal customers and SMEs to compare what is offered by different banks and by paving the way to the development of new business models offering innovative services to customers.[…] APIs may also be used, with the customer’s informed consent, to share securely their transaction history to enable access to tailored current account comparisons and other services.”

As I pointed before in this post, banks can offer for example, in the retail segment, custom services like automated financial management based on your spending patterns, risk appetite and the phase of your personal life – before entering into labour market, in labour market, retirement – this is just a matter how soon banks want to enter in this new kind of business models before they are expelled from the market.

From a strategic point of view, some banks consider the remedy with a very strong dose or as a threat to their outdated business models. In my experience dealing with CIO’s and CEO’s from different banks is clear that the younger generations are much more prepared or already sparked business model transformation and look to this more as an opportunity. The generational gap – a self-acquired soft skill – can play a key role how the organisation perceives the way forward.

 
References:

[1] Unfortunately, due protective measures related with entry in force of the regulation, most countries in European Union delayed the application of the new regulation, meaning that a cargo travelling from Portugal to Germany will only benefit from the electronic act when enters in Germany, meaning that all way down the road the paper document should exist to present to customs and other government authorities. In other terms, the digitalisation of the process is impracticable, an outcome that is still a reality.

[2] Magic Quadrant for Enterprise Integration Platform as a Service, Worldwide, 2016. […] “Integration PaaS delivers some combination of the capabilities typically found in enterprise service buses, data integration tools, B2B gateways, managed file transfer products and API management platforms. IT departments, line-of-business developers, mobile application development teams, application teams and even business users (aka “citizen integrators”) leverage these capabilities to develop, execute and manage integration interfaces (or “integration flows”).”

[3] Emery, Fred E. “Characteristics of socio-technical systems”, in Design of Jobs: selected readings, Davis, L. E. And Taylor, J.C. (Eds.), Penguin Books, ASIN: B013KQY62S

[4] Merrelyn Emery “The current version of Emery’s Open System Theory” Systemic Practice and Action Research.

[5] Application Programming Interface

[6] CMA – Retail banking market investigation. Summary of final report. August 2016

A Thousand Plateaus

On June 2014, I was at Enterprise Architecture Conference Europe in London to present my work on the theme of cybernetics, called Viable System Model meets Enterprise Architecture. During the preparation of the presentation, I was exposed to the concept of the rhizome, created by two French philosophers, Deleuze and Guattari, designed to bring some random pointers about complexity theory, deeply related with the challenges a cybernetician like to reflect on. The rhizome was brought to life in a book called A Thousand Plateaus, that according to the authors, was written in random mode. Every day, they decide in which part of the book they will work on with no direction, rejecting ‘the law of narrative order’, like Robert Musil’s masterpiece Der Mann ohne Eigenschaften (the man without qualities), that by coincidence, was one of my inspirations for the talk at the conference. I bought the book when I was in London but once I buy more books I can read, I only started to read the book these days.

A thousand plateaus is broken down is many directions, that I would like to point only some, as follows:

  • Epistemological – how the models we create to understand the reality are fit in terms of meaning, completeness and de-territorialization (what Deleuze and Guattari refer to the true meaning of systems out of context of operation);
  • Ontological – how the meaning of concepts evolve in a way they are the result of constant change;
  • Anthropological – how human beings are able to interpret signs that will tell about the necessity of change. A theme I explored with Amy Santee in February 2015, when I was in Seattle;
  • Social – how individuals can self-organize in a knowledge oriented world, contrary to Kant’s ideas of following the natural order of laws, rules, regulations and procedures.

The emergent self-organization is a matter in focus which is materialized in the concept of chaosmos, that explain the functioning of the universe as a meta-system composed of abstract machines, very well aligned with cybernetic principles. Exciting days are coming.