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Tiberius Brastaviceanu

Co-Creating as Disruption to the Dominant Cultural Framework » Wirearchy - 0 views

wirearchy.com/...he-dominant-cultural-framework

paper Wirearchy John Husband

shared by Tiberius Brastaviceanu on 18 Jun 14 - No Cached
  • more open people processes
  • Participative processes like Open Space, World Cafes, Unconferences, Peer Circles
  • Barcamps, Wordcamps, Govcamps, Foo Camps, Unconferences, high-end celebrity-and-marketing-and venture-capital ‘experience’ markets, new cultural and artistic festivals with technology-and-culture-making themes
  • ...45 more annotations...
  • maker faires
  • community-and-consensus building, organizing for activism and fundraising
  • The impetus behind this explosion is both technological and sociological
  • Technological
  • information technology and the creation and evolution of the Internet and the Web
  • appearance, development and evolution of social tools, web services, massive storage, and the ongoing development of computer-and-smart-devices development
  • Sociological
  • People are searching for ways to find others with similar interests and motivations so that they can engage in activities that help them learn, find work, grow capabilities and skills, and tackle vexing social and economic problems
  • get informed and take action
  • Developing familiarity and practice with open and collaborative processes
  • play and work together
  • rules about self-management, operate democratically, and produce results grounded in ownership and the responsibilities that have been agreed upon by the ‘community’
  • The relationships and flows of information can be transferred to online spaces and often benefit from wider connectivity.
  • Today, our culture-making activities are well engaged in the early stages of cultural mutation
  • What’s coming along next ?  “Smart” devices and Internet everywhere in our lives ?  Deep(er) changes to the way things are conceived, carried out, managed and used ?  New mental models ?  Or, will we discover real societal limits to what can be done given the current framework of laws, institutions and established practices with which people are familiar and comfortable ?
  • Shorter cycle-based development and release
  • Agile development
  • It is clear evidence that the developmental and learning dynamics generated by continuous or regular feedback loops are becoming the norm in areas of activity in which change and short cycles of product development are constants.
  • The Internet of Things (IoT)
  • clothes, homes, cars, buildings, roads, and a wide range of other objects that have a place in peoples’ daily life activities
  • experiencing major growth, equally in terms of hardware, software and with respect to the way the capabilities are configured and used
  • The IoT concept is being combined with the new-ish concepts of Open Data and Big Data
  • ethical, political and social impact policy decisions
  • that key opportunities associated with widespread uptake of the IoT are derived from the impact upon peoples’ activities and lives
  • ‘we’ are on our way towards more integrated eco-systems of issues, people and technologies
  • participation and inclusion enabled by interconnectedness are quickly becoming the ‘new rules’
  • What the Future May Hold
  • the ‘scenario planning’ approach
  • world’s politics, economics, anthropology, technology, psychology, sociology and philosophy
  • A scenario planning exercise carried out by the Rockefeller Foundation
  • Clearly these early (and now not-so-weak) signals and patterns tell us that the core assumptions and principles that have underpinned organized human activities for most of the past century
  • are being changed by the combinations and permutations of new, powerful, inexpensive and widely accessible information-processing technologies
  • The short description of each scenario reinforces the perception that we are both individually and collectively in transition from a linear, specialized, efficiency-driven paradigm towards a paradigm based on continuous feedback loops and principles of participation, both large and small in scope.
  • cultural ‘mutation’
  • Wirearchy
  • a dynamic two-way flow of power and authority based on knowledge, trust, credibility and a focus on results, enabled by interconnected people and technology.
  • the role of social media and smart mobile devices in the uprisings in Egypt, Libya and elsewhere in the Middle East
  • The roots of organizational development (OD) are in humanistic psychology and sociology action and ethnographic and cybernetic/ socio-technical systems theory.  It’s a domain that emerged essentially as a counter-balance to the mechanistic and machine-metaphor-based core assumptions about the organized activities in our society.
  • Organizational development principles are built upon some basic assumptions about human motivations, engagement and activities.
  • Participative Work Design – The Six Criteria
  • in recent years created models that help clarify how to evaluate and respond to the continuous turbulence and ambiguity generated by participating in interconnected flows of information.
  • contexts characterized by either Simple, Complicated or Chaotic dynamics (from complexity theory fundamentals). Increasingly, Complexity is emerging as a key definer of the issues, problems and opportunities faced by our societies.
  • peer-to-peer movement(s) unfolding around the world
  • Co-creating in a wide range of forms, processes and purpose may become an effective and important antidote to the spreading enclosure of human creative activity.
  • But .. the dominant models of governance, commercial ownership and the use and re-use of that which is co-created by people are going to have to undergo much more deep change in order to disrupt the existing paradigm of proprietary commercial creation and the model of socio-economic power that this paradigm enables and carries today.
Kurt Laitner

Inequality: Why egalitarian societies died out - opinion - 30 July 2012 - New Scientist - 0 views

www.newscientist.com/...tarian-societies-died-out.html

inequality egalitarianism vs hierarchical

shared by Kurt Laitner on 07 Aug 12 - No Cached
  • FOR 5000 years, humans have grown accustomed to living in societies dominated by the privileged few. But it wasn't always this way. For tens of thousands of years, egalitarian hunter-gatherer societies were widespread. And as a large body of anthropological research shows, long before we organised ourselves into hierarchies of wealth, social status and power, these groups rigorously enforced norms that prevented any individual or group from acquiring more status, authority or resources than others.*
  • How, then, did we arrive in the age of institutionalised inequality? That has been debated for centuries. Philosopher Jean-Jacques Rousseau reasoned in 1754 that inequality was rooted in the introduction of private property. In the mid-19th century, Karl Marx and Friedrich Engels focused on capitalism and its relation to class struggle. By the late 19th century, social Darwinists claimed that a society split along class lines reflected the natural order of things - as British philosopher Herbert Spencer put it, "the survival of the fittest". (Even into the 1980s there were some anthropologists who held this to be true - arguing that dictators' success was purely Darwinian, providing estimates of the large numbers of offspring sired by the rulers of various despotic societies as support.)
  • But by the mid-20th century a new theory began to dominate. Anthropologists including Julian Steward, Leslie White and Robert Carneiro offered slightly different versions of the following story: population growth meant we needed more food, so we turned to agriculture, which led to surplus and the need for managers and specialised roles, which in turn led to corresponding social classes.
  • ...8 more annotations...
  • One line of reasoning suggests that self-aggrandising individuals who lived in lands of plenty ascended the social ranks by exploiting their surplus - first through feasts or gift-giving, and later by outright dominance
  • At the group level, argue anthropologists Peter Richerson and Robert Boyd, improved coordination and division of labour allowed more complex societies to outcompete the simpler, more equal societies
  • From a mechanistic perspective, others argued that once inequality took hold - as when uneven resource-distribution benefited one family more than others - it simply became ever more entrenched. The advent of agriculture and trade resulted in private property, inheritance, and larger trade networks, which perpetuated and compounded economic advantages.
  • Many theories about the spread of stratified society begin with the idea that inequality is somehow a beneficial cultural trait that imparts efficiencies, motivates innovation and increases the likelihood of survival. But what if the opposite were true?
  • In a demographic simulation that Omkar Deshpande, Marcus Feldman and I conducted at Stanford University, California, we found that, rather than imparting advantages to the group, unequal access to resources is inherently destabilising and greatly raises the chance of group extinction in stable environments.
  • Counterintuitively, the fact that inequality was so destabilising caused these societies to spread by creating an incentive to migrate in search of further resources. The rules in our simulation did not allow for migration to already-occupied locations, but it was clear that this would have happened in the real world, leading to conquests of the more stable egalitarian societies - exactly what we see as we look back in history.
  • In other words, inequality did not spread from group to group because it is an inherently better system for survival, but because it creates demographic instability, which drives migration and conflict and leads to the cultural - or physical - extinction of egalitarian societies.
  • Egalitarian societies may have fostered selection on a group level for cooperation, altruism and low fertility (which leads to a more stable population), while inequality might exacerbate selection on an individual level for high fertility, competition, aggression, social climbing and other selfish traits.
Tiberius Brastaviceanu

Is Shame Necessary? | Conversation | Edge - 0 views

www.edge.org/...is-shame-necessary

shame collaboration cooperation paper theory

shared by Tiberius Brastaviceanu on 28 Oct 11 - No Cached
  • What is shame's purpose? Is shame still necessary?
  • Shame is what is supposed to occur after an individual fails to cooperate with the group.
  • Whereas guilt is evoked by an individual's standards, shame is the result of group standards. Therefore, shame, unlike guilt, is felt only in the context of other people.
  • ...53 more annotations...
  • Many animals use visual observations to decide whether to work with others.
  • humans are more cooperative when they sense they're being watched.
  • The feeling of being watched enhances cooperation, and so does the ability to watch others. To try to know what others are doing is a fundamental part of being human
  • Shame serves as a warning to adhere to group standards or be prepared for peer punishment. Many individualistic societies, however, have migrated away from peer punishment toward a third-party penal system
  • Shame has become less relevant in societies where taking the law into one's own hands is viewed as a breach of civility.
  • Many problems, like most concerning the environment, are group problems. Perhaps to solve these problems we need a group emotion. Maybe we need shame.
  • Guilt prevails in many social dilemmas
  • It is perhaps unsurprising that a set of tools has emerged to assuage this guilt
  • Guilt abounds in many situations where conservation is an issue.
  • The problem is that environmental guilt, though it may well lead to conspicuous ecoproducts, does not seem to elicit conspicuous results.
  • The positive effect of idealistic consumers does exist, but it is masked by the rising demand and numbers of other consumers.
  • Guilt is a valuable emotion, but it is felt by individuals and therefore motivates only individuals. Another drawback is that guilt is triggered by an existing value within an individual. If the value does not exist, there is no guilt and hence no action
  • Getting rid of shaming seems like a pretty good thing, especially in regulating individual behavior that does no harm to others. In eschewing public shaming, society has begun to rely more heavily on individual feelings of guilt to enhance cooperation.
  • five thousand years ago, there arose another tool: writing
  • Judges in various states issue shaming punishments,
  • shaming by the state conflicts with the law's obligation to protect citizens from insults to their dignity.
  • What if government is not involved in the shaming?
  • Is this a fair use of shaming? Is it effective?
  • Shaming might work to change behavior in these cases, but in a world of urgent, large-scale problems, changing individual behavior is insignificant
  • vertical agitation
  • Guilt cannot work at the institutional level, since it is evoked by individual scruples, which vary widely
  • But shame is not evoked by scruples alone; since it's a public sentiment, it also affects reputation, which is important to an institution.
  • corporate brand reputation outranked financial performance as the most important measure of success
  • shame and reputation interact
  • in our early evolution we could gauge cooperation only firsthand
  • Shaming, as noted, is unwelcome in regulating personal conduct that doesn't harm others. But what about shaming conduct that does harm others?
  • why we learned to speak.1
  • Language
  • The need to accommodate the increasing number of social connections and monitor one another could be
  • allowed for gossip, a vector of social information.
  • in cooperation games that allowed players to gossip about one another's performance, positive gossip resulted in higher cooperation.
  • Of even greater interest, gossip affected the players' perceptions of others even when they had access to firsthand information.
  • Human society today is so big that its dimensions have outgrown our brains.
  • What tool could help us gossip in a group this size?
  • We can use computers to simulate some of the intimacy of tribal life, but we need humans to evoke the shame that leads to cooperation. The emergence of new tools— language, writing, the Internet—cannot completely replace the eyes. Face-to-face interactions, such as those outside Trader Joe's stores, are still the most impressive form of dissent.
  • what is stopping shame from catalyzing social change? I see three main drawbacks:
  • Today's world is rife with ephemeral, or "one-off," interactions.
  • Research shows, however, that if people know they will interact again, cooperation improves
  • Shame works better if the potential for future interaction is high
  • In a world of one-off interactions, we can try to compensate for anonymity with an image score,
  • which sends a signal to the group about an individual's or institution's degree of cooperation.
  • Today's world allows for amorphous identities
  • It's hard to keep track of who cooperates and who doesn't, especially if it's institutions you're monitoring
  • Shaming's biggest drawback is its insufficiency.
  • Some people have no shame
  • shame does not always encourage cooperation from players who are least cooperative
  • a certain fraction of a given population will always behave shamelessly
  • if the payoff is high enough
  • There was even speculation that publishing individual bankers' bonuses would lead to banker jealousy, not shame
  • shame is not enough to catalyze major social change
  • This is why punishment remains imperative.
  • Even if shaming were enough to bring the behavior of most people into line, governments need a system of punishment to protect the group from the least cooperative players.
  • Today we are faced with the additional challenge of balancing human interests and the interests of nonhuman life.
  • Tiberius Brastaviceanu on 28 Oct 11
     
    The role of non-rational mechanisms in convergence - social emotions like shame and guilt 
Tiberius Brastaviceanu

James Grier Miller, Living Systems (1978) - 0 views

www.panarchy.org/...livingsystems.html

Grier Miller living systems theory concepts paper

shared by Tiberius Brastaviceanu on 23 Jun 11 - No Cached
  • reality as an integrated hierarchy of organizations of matter and energy
  • General living systems theory is concerned with a special subset of all systems, the living ones
  • a space is a set of elements which conform to certain postulate
  • ...266 more annotations...
  • s. Euclidean space
  • metric space
  • topological space
  • Physical space is the extension surrounding a point
  • My presentation of a general theory of living systems will employ two sorts of spaces in which they may exist, physical or geographical space and conceptual or abstracted spaces
  • Physical or geographical space
  • Euclidean space
  • distance
  • moving
  • maximum speed
  • objects moving in such space cannot pass through one another
  • friction
  • The characteristics and constraints of physical space affect the action of all concrete systems, living and nonliving.
  • information can flow worldwide almost instantly
  • Physical space is a common space
  • Most people learn that physical space exists, which is not true of many spaces
  • They can give the location of objects in it
  • Conceptual or abstracted spaces
  • Peck order
  • Social class space
  • Social distance
  • Political distance
  • life space
  • semantic space
  • Sociometric space
  • A space of time costs of various modes of transportation
  • space of frequency of trade relations among nations.
  • A space of frequency of intermarriage among ethnic groups.
  • These conceptual and abstracted spaces do not have the same characteristics and are not subject to the same constraints as physical space
  • Social and some biological scientists find conceptual or abstracted spaces useful because they recognize that physical space is not a major determinant of certain processes in the living systems they study
  • interpersonal relations
  • one cannot measure comparable processes at different levels of systems, to confirm or disconfirm cross-level hypotheses, unless one can measure different levels of systems or dimensions in the same spaces or in different spaces with known transformations among them
  • It must be possible, moreover, to make such measurements precisely enough to demonstrate whether or not there is a formal identity across levels
  • fundamental "fourth dimension" of the physical space-time continuum
  • is the particular instant at which a structure exists or a process occurs
  • or the measured or measurable period over which a structure endures or a process continues.
  • durations
  • speeds
  • rates
  • accelerations
  • irreversible unidirectionality of time
  • thermodynamics
  • negentropy
  • "time's arrow."
  • Matter and energy
  • Matter is anything which has mass (m) and occupies physical space.
  • Energy (E) is defined in physics as the ability to do work.
  • kinetic energy
  • potential energy
  • rest mass energy
  • Mass and energy are equivalent
  • Living systems need specific types of matter-energy in adequate amounts
  • Energy for the processes of living systems is derived from the breakdown of molecules
  • Any change of state of matter-energy or its movement over space, from one point to another, I shall call action.
  • It is one form of process.
  • information (H)
  • Transmission of Information
  • Meaning is the significance of information to a system which processes it: it constitutes a change in that system's processes elicited by the information, often resulting from associations made to it on previous experience with it
  • Information is a simpler concept: the degrees of freedom that exist in a given situation to choose among signals, symbols, messages, or patterns to be transmitted.
  • The set of all these possible categories (the alphabet) is called the ensemble or repertoire
  • .) The unit is the binary digit, or bit of information
  • . The amount of information is measured as the logarithm to the base 2 of the number of alternate patterns
  • Signals convey information to the receiving system only if they do not duplicate information already in the receiver. As Gabor says:
  • [The information of a message can] be defined as the 'minimum number of binary decisions which enable the receiver to construct the message, on the basis of the data already available to him.'
  • meaning cannot be precisely measured
  • Information is the negative of uncertainty.
  • information is the amount of formal patterning or complexity in any system.
  • The term marker was used by von Neumann to refer to those observable bundles, units, or changes of matter-energy whose patterning bears or conveys the informational symbols from the ensemble or repertoire.
  • If a marker can assume n different states of which only one is present at any given time, it can represent at most log2n bits of information. The marker may be static, as in a book or in a computer's memory
  • Communication of almost every sort requires that the marker move in space, from the transmitting system to the receiving system, and this movement follows the same physical laws as the movement of any other sort of matter-energy. The advance of communication technology over the years has been in the direction of decreasing the matter-energy costs of storing and transmitting the markers which bear information.
  • There are, therefore, important practical matter-energy constraints upon the information processing of all living systems exerted by the nature of the matter-energy which composes their markers.
  • organization is based upon the interrelations among parts.
  • If two parts are interrelated either quantitatively or qualitatively, knowledge of the state of one must yield some information about the state of the other. Information measures can demonstrate when such relationships exist
  • The disorder, disorganization, lack of patterning, or randomness of organization of a system is known as its entropy (S)
  • the statistical measure for the negative of entropy is the same as that for information
  • entropy becomes a measure of the probability
  • Increase of entropy was thus interpreted as the passage of a system from less probable to more probable states.
  • according to the second law, a system tends to increase in entropy over time, it must tend to decrease in negentropy or information.
  • therefore no principle of the conservation of information
  • The total information can be decreased in any system without increasing it elsewhere
  • but it cannot be increased without decreasing it elsewhere
  • . Making one or more copies of a given informational pattern does not increase information overall, though it may increase the information in the system which receives the copied information.
  • transforms information into negative entropy
  • smallest possible amount of energy used in observing one bit of information
  • calculations of the amount of information accumulated by living systems throughout growth.
  • the concept of Prigogine that in an open system (that is one in which both matter and energy can be exchanged with the environment) the rate of entropy production within the system, which is always positive, is minimized when the system is in a steady state.
  • in systems with internal feedbacks, internal entropy production is not always minimized when the system is in a stationary state. In other words, feedback couplings between the system parameters may cause marked changes in the rate of development of entropy. Thus it may be concluded that the "information flow" which is essential for this feedback markedly alters energy utilization and the rate of development of entropy, at least in some such special cases which involve feedback control. While the explanation of this is not clear, it suggests an important relationship between information and entropy
  • amount of energy actually required to transmit the information in the channel is a minute part of the total energy in the system, the "housekeeping energy" being by far the largest part of it
  • In recent years systems theorists have been fascinated by the new ways to study and measure information flows, but matter-energy flows are equally important. Systems theory is more than information theory, since it must also deal with energetics - such matters as
  • the flow of raw materials through societies
  • Only a minute fraction of the energy used by most living systems is employed for information processing
  • I have noted above that the movement of matter-energy over space, action, is one form of process. Another form of process is information processing or communication, which is the change of information from one state to another or its movement from one point to another over space
  • Communications, while being processed, are often shifted from one matter-energy state to another, from one sort of marker to another
  • transformations go on in living systems
  • One basic reason why communication is of fundamental importance is that informational patterns can be processed over space and the local matter-energy at the receiving point can be organized to conform to, or comply with, this information
  • the delivery of "flowers by telegraph."
  • Matter-energy and information always flow together
  • Information is always borne on a marker
  • . Conversely there is no regular movement in a system unless there is a difference in potential between two points, which is negative entropy or information
  • If the receiver responds primarily to the material or energic aspect, I shall call it, for brevity, a matter-energy transmission; if the response is primarily to the information, I shall call it an information transmission
  • Moreover, just as living systems must have specific forms of matter-energy, so they must have specific patterns of information
  • example
  • example
  • develop normally
  • have appropriate information inputs in infancy
  • pairs of antonyms
  • one member of which is associated with the concept of information (H)
  • the other member of which is associated with its negative, entropy (S)
  • System
  • A system is a set of interacting units with relationships among them
  • .The word "set" implies that the units have some common properties. These common properties are essential if the units are to interact or have relationships. The state of each unit is constrained by, conditioned by, or dependent on the state of other units. The units are coupled. Moreover, there is at least one measure of the sum of its units which is larger than the sum of that measure of its units.
  • Conceptual system
  • Units
  • terms
  • Relationships
  • a set of pairs of units, each pair being ordered in a similar way
  • expressed by words
  • or by logical or mathematical symbols
  • operations
  • The conceptual systems of science
  • observer
  • selects
  • particular sets to study
  • Variable
  • Each member of such a set becomes a variable of the observer's conceptual system
  • conceptual system may be loose or precise, simple or elaborate
  • Indicator
  • an instrument or technique used to measure fluctuations of variables in concrete systems
  • Function
  • a correspondence between two variables, x and y, such that for each value of x there is a definite value of y, and no two y's have the same x, and this correspondence is: determined by some rule
  • Any function is a simple conceptual system
  • Parameter
  • An independent variable through functions of which other functions may be expressed
  • The state of a conceptual system
  • the set of values on some scale, numerical or otherwise, which its variables have at a given instant
  • Formal identity
  • variables
  • varies comparably to a variable in another system
  • If these comparable variations are so similar that they can be expressed by the same function, a formal identity exists between the two systems
  • Relationships between conceptual and other sorts of systems
  • Science advances as the formal identity or isomorphism increases between a theoretical conceptual system and objective findings about concrete or abstracted systems
  • A conceptual system may be purely logical or mathematical, or its terms and relationships may be intended to have some sort of formal identity or isomorphism with units and relationships empirically determinable by some operation carried out by an observer
  • Concrete system
  • a nonrandom accumulation of matter-energy, in a region in physical space-time, which is organized into interacting interrelated subsystems or components.
  • Units
  • are also concrete systems
  • Relationships
  • spatial
  • temporal
  • spatiotemporal
  • causal
  • Both units and relationships in concrete systems are empirically determinable by some operation carried out by an observer
  • patterns of relationships or processes
  • The observer of a concrete system
  • distinguishes a concrete system from unorganized entities in its environment by the following criteria
  • physical proximity of its units
  • similarity of its units
  • common fate of its units
  • distinct or recognizable patterning of its units.
  • Their boundaries are discovered by empirical operations available to the general scientific community rather than set conceptually by a single observer
  • Variable of a concrete system
  • Any property of a unit or relationship within a system which can be recognized by an observer
  • which can potentially change over time, and whose change can potentially be measured by specific operations, is a variable of a concrete system
  • Examples
  • number of its subsystems or components, its size, its rate of movement in space, its rate of growth, the number of bits of information it can process per second, or the intensity of a sound to which it responds
  • A variable is intrasystemic
  • not to be confused with intersystemic variations which may be observed among individual systems, types, or levels.
  • The state of a concrete system
  • its structure
  • represented by the set of values on some scale which its variables have at that instant
  • Open system
  • Most concrete systems have boundaries which are at least partially permeable, permitting sizable magnitudes of at least certain sorts of matter-energy or information transmissions to pass them. Such a system is an open system. In open systems entropy may increase, remain in steady state, or decrease.
  • Closed system
  • impermeable boundaries through which no matter-energy or information transmissions of any sort can occur is a closed system
  • special case
  • No actual concrete system is completely closed
  • In closed systems, entropy generally increases, exceptions being when certain reversible processes are carried on which do not increase it. It can never decrease.
  • Nonliving system
  • the general case of concrete systems, of which living systems are a very special case. Nonliving systems need not have the same critical subsystems as living systems, though they often have some of them
  • Living system
  • a special subset of the set of all possible concrete systems
  • They all have the following characteristics:
  • open systems
  • inputs
  • throughputs
  • outputs
  • of various sorts of matter-energy and information.
  • maintain a steady state of negentropy even though entropic changes occur in them as they do everywhere else
  • by taking in inputs
  • higher in complexity or organization or negentropy
  • than their outputs
  • The difference permits them to restore their own energy and repair breakdowns in their own organized structure.
  • In living systems many substances are produced as well as broken down
  • To do this such systems must be open and have continual inputs of matter-energy and information
  • entropy will always increase in walled-off living systems
  • They have more than a certain minimum degree of complexity
  • They either contain genetic material composed of deoxyribonucleic acid (DNA)
  • or have a charter
  • blueprint
  • program
  • of their structure and process from the moment of their origin
  • may also include nonliving components.
  • They have a decider, the essential critical sub-system which controls the entire system, causing its subsystems and components to interact. Without such interaction under decider control there is no system.
  • other specific critical sub-systems or they have symbiotic or parasitic relationships with other living or nonliving systems
  • Their subsystems are integrated together to form actively self-regulating, developing, unitary systems with purposes and goals
  • They can exist only in a certain environment
  • change in their environment
  • produces stresses
  • Totipotential system
  • capable of carrying out all critical subsystem processes necessary for life is totipotential
  • Partipotential system
  • does not itself carry out all critical subsystem processes is partipotential
  • A partipotential system must interact with other systems that can carry out the processes which it does not, or it will not survive
  • parasitic
  • symbiotic
    • Tiberius Brastaviceanu
      Tiberius Brastaviceanu on 25 Jun 11
       
      The Exchange fime is a symbiotic system to SENSORICA
  • Fully functioning system
  • when it
  • Partially functioning system
  • it must do its own deciding, or it is not a system
  • Abstracted system
  • Units
  • relationships abstracted or selected by an observer in the light of his interests, theoretical viewpoint, or philosophical bias.
  • Some relationships may be empirically determinable by some operation carried out by the observer, but others are not, being only his concepts
  • Relationships
  • The relationships mentioned above are observed to inhere and interact in concrete, usually living, systems
  • these concrete systems are the relationships of abstracted systems.
  • The verbal usages of theoretical statements concerning abstracted systems are often the reverse of those concerning concrete systems
  • An abstracted system differs from an abstraction, which is a concept
  • representing a class of phenomena all of which are considered to have some similar "class characteristic." The members of such a class are not thought to interact or be interrelated, as are the relationships in an abstracted system
  • Abstracted systems are much more common in social science theory than in natural science.
  • are oriented toward relationships rather than toward the concrete systems
  • spatial arrangements are not usually emphasized
  • their physical limits often do not coincide spatially with the boundaries of any concrete system, although they may.
  • important difference between the physical and biological hierarchies, on the one hand, and social hierarchies, on the other
  • Most physical and biological hierarchies are described in spatial terms
  • we propose to identify social hierarchies not by observing who lives close to whom but by observing who interacts with whom
  • intensity of interaction
  • in most biological and physical systems relatively intense interaction implies relative spatial propinquity
  • To the extent that interactions are channeled through specialized communications and transportation systems, spatial propinquity becomes less determinative of structure.
    • Tiberius Brastaviceanu
      Tiberius Brastaviceanu on 25 Jun 11
       
      This is the case of SENSORICA, built on web-based communication and coordination tools. 
  • PARSONS
  • the unit of a partial social system is a role and not the individual.
  • culture
  • cumulative body of knowledge of the past, contained in memories and assumptions of people who express this knowledge in definite ways
  • The social system is the actual habitual network of communication between people.
  • RUESCH
  • A social system is a behavioral system
  • It is an organized set of behaviors of persons interacting with each other: a pattern of roles.
  • The roles are the units of a social system
    • Tiberius Brastaviceanu
      Tiberius Brastaviceanu on 25 Jun 11
       
      That is why we need a role system in SENSORICA
  • On the other hand, the society is an aggregate of social subsystems, and as a limiting case it is that social system which comprises all the roles of all the individuals who participate.
  • What Ruesch calls the social system is something concrete in space-time, observable and presumably measurable by techniques like those of natural science
  • To Parsons the system is abstracted from this, being the set of relationships which are the form of organization. To him the important units are classes of input-output relationships of subsystems rather than the subsystems themselves
  • system is a system of relationship in action, it is neither a physical organism nor an object of physical perception
  • evolution
  • differentiation
  • growth
  • from earlier and simpler forms and functions
  • capacities for specializations and gradients
  • [action] is not concerned with the internal structure of processes of the organism, but is concerned with the organism as a unit in a set of relationships and the other terms of that relationship, which he calls situation
  • Abstracted versus concrete systems
  • One fundamental distinction between abstracted and concrete systems is that the boundaries of abstracted systems may at times be conceptually established at regions which cut through the units and relationships in the physical space occupied by concrete systems, but the boundaries of these latter systems are always set at regions which include within them all the units and internal relationships of each system
  • A science of abstracted systems certainly is possible and under some conditions may be useful.
  • If the diverse fields of science are to be unified, it would be helpful if all disciplines were oriented either to concrete or to abstracted systems.
  • It is of paramount importance for scientists to distinguish clearly between them
Tiberius Brastaviceanu

Open Collaboration - The Next Economic Paradigm - 0 views

www.chaoticripple.com/...open-collaboration-paradigm

collaboration economy blog paper Joe Brewer

shared by Tiberius Brastaviceanu on 30 Apr 11 - No Cached
  • we’re in the midst of a collapsing paradigm
  • to be replaced by something new
  • I will explain what the new paradigm
  • ...40 more annotations...
  • business
  • government
  • education
  • research
  • The old economic paradigm was a service economy built on the digital communications revolution that began in the early 1970′s.
  • financial capital has decoupled from productive capital
  • financial meltdown
  • major societal institutions have stalled
  • the funding models
  • no longer work properly
  • The new model is the Open Collaboration Paradigm
  • we will see a radical departure from old institutional models.
  • social capital is increasingly recognized
  • generating wealth for society
  • This will be a profoundly social economy, built on unprecedented capabilities to self-organize people and resources in the crowd.
  • Social media
  • connect ideas, people, and institutions
  • blur the inside/outside distinctions
  • Network connections
  • radical transparency will be the new norm
  • Another profound shift will occur in the realm of ownership
  • No longer
  • viable
  • to horde intellectual property
  •  Collaborative consumption will arise as a more robust business paradigm,
  • risk is distributed
  • implications for business
  •  Those who can leverage the wisdom of crowds for market research, product development, and efficient resource allocation will be more adept and agile in the face of rapid change.
  • Those who build walls around themselves will fail to tap into the flow of knowledge and resources running rampant in the crowd
  • governments will have to become more transparent and responsive to their citizens
  • information becomes more immersive and dynamic
  • Research has already begun to use open collaboration that goes beyond the halls of academia.
  • collaborative approach to research will become the norm,
  • The era of “user generated content” and “prosumption” — where consumers of goods and services co-create what they will consume — is now a decade along in its evolution.  We will increasingly see collaborative design and production of consumables across society.
  • In the education arena, we will see more curricula as shareware and an increased emphasis on multi-perspective teamwork as the necessary skills for engaging in collaborative projects.
  • Expert/amateur boundaries have already blurred to the point where individuals can acquire graduate-level knowledge through self-directed learning on the internet.
  • distance learning
  •  Lifetime learning
  • active pedagogy
  • So get ready for the new economic paradigm.
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