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Top > Science > Methodology > Systems Theories > Pattern Theory > Pattern Languages > PLAST > PLAST vs IVAN

Top > Computers > Internet > Internet Structures > Integrated Virtual Associative Network > IVAN Comparative Analysis > PLAST vs IVAN


PLAST and IVAN should have a lot in common, see below the table.







Purpose / Vision
Connecting professionals working on "socio-technological-economic-environmental systems"
Connecting People by Connecting Their Knowledge
Connecting people by connecting their practice and their thinking models.  
 Development of framework and language for the building of an ecosystem of open source tools and methodologies that can help decode and encode patterns Right Information to Right Person at Right Time
The right information accessible to the right person at the right time;.  

Develop a base infrastructure so that

  • work can start with minimal set up / work / learning curve, and
  • to get people / communities to engage, and
  • a set of structuring principles so that things can be reconfigured and structured along the way, and so that
  • the project can scale
Building of the unified virtual collective mental space
Connecting Practioners wherever they are So we can minimize "reinventing the wheel."   
Implementation TBA
LikeInMind LikeInMind as a hub for Research and active changemakers. . Transmedia as the way to surface appropriate resources.  
Taregeting Professional / occupational interest in developing their own projects and practice

Anyone interested in

  • expertise exchange, i.e., in
    • finding expertise for his projects and
    • being found for participating in projects of his interest
  • finding particular information/ solution in the time frame close to theoretical limit (2-3 seconds)
Everyone engaged in change making.  
Special requirements / education PLAST and fourth generation pattern languages

No special requirements:

Basic knowledge of word processing and Internet browsing

The only requirement is fluent use of any platform on the Internet.   
RDF Required?

IVAN is designed to be used by people with no special knowledge of any semantic tools and tricks. Knowledge of MS Word and a browser is sufficient to participate at full capacity.

As RDF was not captured at researchers' self-reflection of their cognition, it is thought of being "a foreign body" at human mental activities. Usage of RDF and metadata therefore is believed being counterproductive by "average participants": RDF and Metadata at LikeInMind

RDF is a platform dependent on the users choice. Specialization and integration is the approach. Tacit knowledge of diverse people to accessible explicit knowledge.  
Fragmentation of Conceptual Space

Fragmented between

  • wiki,
  • semantic database,
  • discussion space (Facebook?)
  • Kumu?
  • Slack community
  • Github community
  • Debategraph map
Single environment: LikeInMind with integrated real-time collaboration tools A single LikeinMind extending it's unique value nested in Internet ecosystems. LM is a place of persistence so others can easily follow the thinking and progress.  
Semantic meta-layers connecting fragmented resources  

Unified Conceptual Space


( Including a Layered approach of concepts - territories - actors ?) - Esteban

Using the nemetics code as a translation device, supporting and enriching native languages.  
Mechanisms of detection of semantic match ("overlap")   Tag Cloud around Sense Domains within a single Unified Conceptual Space Platform agnostic driven by user internet.   




Aggregation in an associative network ("pattern language")

A pattern language, as thought by Alexander, contains links from one pattern to another, so when trying to apply one pattern in a project, a designer is pushed to other patterns that are considered helpful in its context.

In Alexander's book, such links are collected in the "references" part, and echoed in the linked pattern's "context" part - thus the overall structure is a directed graph. A pattern that is linked to in the "references" usually addresses a problem of lower scale, that is suggested as a part of the higher-scale problem. For instance, the "PUBLIC OUTDOOR ROOM" pattern has a reference to "STAIR SEATS".

Even without the pattern description, these links, along with meaningful names, carry a message: When building a place outside where people can spend time ("PUBLIC OUTDOOR ROOM"), consider to surround it by stairs where people can sit ("STAIR SEATS"). If you are planning an office ("WORKSHOPS AND OFFICES"), consider to arrange workspaces in small groups ("SMALL WORKING GROUPS"). Alexander argues that the connections in the network can be considered even more meaningful than the text of the patterns themselves.

The links in Alexander's book clearly result in a hierarchic network. Alexander draws a parallel to the hierarchy of a grammar - that is one argument for him to speak of a pattern language.

The idea of linking is generally accepted among pattern authors, though the semantic rationale behind the links may vary. Some authors, however, like Gamma et al. in Design Patterns, make only little use of pattern linking - possibly because it did not make that much sense for their collection of patterns. In such a case we would speak of a pattern catalogue rather than a pattern language.[3]


Alexander encouraged people who used his system to expand his language with patterns of their own. In order to enable this, his books do not focus strictly on architecture or civil engineering; he also explains the general method of pattern languages. The original concept for the book _A Pattern Language_ was that it would be published in the form of a 3-ring binder, so that pages could easily be added later; this proved impractical in publishing.[4] The pattern language approach has been used to document expertise in diverse fields. Some examples are architectural patterns, computer science patterns, human computer interaction patterns, educational patterns, social action patterns, and group facilitation patterns. The pattern language approach has also been recommended as a way to promote civic intelligence by helping to coordinate actions for diverse people and communities who are working together on significant shared problems (see [5] for additional discussion of motivation and rationale as well as examples and experiments). Alexander's specifications for using pattern languages as well as creating new ones remain influential, and his books are referenced for style by experts in unrelated fields.

It is important to note that notations such as UML or the flowchart symbol collection are not pattern languages. They could more closely be compared to an alphabet: their symbols could be used to document a pattern language, but they are not a language by themselves. A recipe or other sequential set of steps to be followed, with only one correct path from start to finish, is also not a pattern language. However, the process of designing a new recipe might benefit from the use of a pattern language.

Simple example of a pattern

Name: ChocolateChipRatio

Context: You are baking chocolate chip cookies in small batches for family and friends

Consider these patterns first: SugarRatio, FlourRatio, EggRatio

Problem: Determine the optimum ratio of chocolate chips to cookie dough

Solution: Observe that most people consider chocolate to be the best part of the chocolate chip cookie. Also observe that too much chocolate may prevent the cookie from holding together, decreasing its appeal. Since you are cooking in small batches, cost is not a consideration. Therefore, use the maximum amount of chocolate chips that results in a really sturdy cookie.

Consider next: NutRatio or CookingTime or FreezingMethod


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