CASE STUDY – SIMULATION GAMES – PHASE 1 – Iterative Development of a Dynamic World Model

ISSN 2567-6458, 19.-30.June 2020
Author: Gerd Doeben-Henisch


To work within the Generative Cultural Anthropology [GCA] Theory one needs a practical tool which allows the construction of dynamic world models, the storage of these models, their usage within a simulation game environment together with an evaluation tool.  To prepare a simulation game within a Hybrid Simulation Game Environment [HSGE] one needs an
iterative development process which is described below.

CASE STUDY – SIMULATION GAMES – PHASE 1: Iterative Development of a Dynamic World Model – Part of the Generative Cultural Anthropology [GCA] Theory

1 Overview of the Whole Development Process
2 Cognitive Aspects of Symbolic Expressions
3 Symbolic Representations and Transformations
4 Abstract-Concrete Concepts
5 Implicit Structures Embedded in Experience
5.1 Example 1

daai-analysis-simgame-development-v3 (June-30, 2020)

daai-analysis-simgame-development-v2 (June-20, 2020)

daai-analysis-simgame-development-v1 (June-19,2020)

Going back to the section Case Studies.


ISSN 2567-6458, 4.May  – 18.October  2020
Author: Gerd Doeben-Henisch


In this section several case studies will  be presented.In Case Study 1 it will be shown, how the DAAI paradigm can be mapped into a new concept of Generative Cultural Anthropology [GCA].  Then it will be shown how it is possible to implement this GCA in a way which allows all kinds of cultural processes including those dealing with city planning and the participation of citizens in this process. The working title of the software project related to this is komega. Go back to the overall framework.


There exist meanwhile a webpage with German texts as part of my German Philosophy Blog here. This text is a comprehensive text including the epistemology of the approach and  the theoretical part about shared knowledge generation with simulation. This text discusses also the problem of goals and the assessment of goals guiding the process of planning.


(The order of the different papers represents rather the logical not the timely order of the project. The most recent papers reflect  the most actual perspective.)

  1. FROM DAAI to GCA. Turning Engineering into Generative Cultural Anthropology. This paper gives an outline how one can map the DAAI paradigm directly into the GCA paradigm (April-19,2020): case1-daai-gca-v1
  2. CASE STUDY 1. FROM DAAI to ACA. Transforming HMI into ACA (Applied Cultural Anthropology) (July 28, 2020)
  3. A first GCA open research project [GCA-OR No.1].  This paper outlines a first open research project using the GCA. This will be the framework for the first implementations (May-5, 2020): GCAOR-v0-1
  4. Engineering and Society. A Case Study for the DAAI Paradigm – Introduction. This paper illustrates important aspects of a cultural process looking to the acting actors  where  certain groups of people (experts of different kinds) can realize the generation, the exploration, and the testing of dynamical models as part of a surrounding society. Engineering is clearly  not  separated from society (April-9, 2020): case1-population-start-part0-v1
  5. Bootstrapping some Citizens. This  paper clarifies the set of general assumptions which can and which should be presupposed for every kind of a real world dynamical model (April-4, 2020): case1-population-start-v1-1
  6. Hybrid Simulation Game Environment [HSGE]. This paper outlines the simulation environment by combing a usual web-conference tool with an interactive web-page by our own  (23.May 2020): HSGE-v2 (May-5, 2020): HSGE-v0-1
  7. The Observer-World Framework. This paper describes the foundations of any kind of observer-based modeling or theory construction.(July 16, 2020)
  8. CASE STUDY – SIMULATION GAMES – PHASE 1 – Iterative Development of a Dynamic World Model (June 19.-30., 2020)
  9. KOMEGA REQUIREMENTS No.1. Basic Application Scenario (last change: August 11, 2020)
  10. KOMEGA REQUIREMENTS No.2. Actor Story Overview (last change: August 12, 2020)
  11. KOMEGA REQUIREMENTS No.3, Version 1. Basic Application Scenario – Editing S (last change: August 12, 2020)
  12. The Simulator as a Learning Artificial Actor [LAA]. Version 1 (last change: August 23, 2020)
  13. KOMEGA REQUIREMENTS No.4, Version 1 (last change: August 26, 2020)
  14. KOMEGA REQUIREMENTS No.4, Version 2. Basic Application Scenario (last change: August 28, 2020)
  15. Extended Concept for Meaning Based Inferences. Version 1 (last change: 30.April 2020)
  16. Extended Concept for Meaning Based Inferences – Part 2. Version 1 (last change: 1.September 2020)
  17. Extended Concept for Meaning Based Inferences – Part 2. Version 2 (last change: 2.September 2020)
  18. Actor Epistemology and Semiotics. Version 1 (last change: 3.September 2020)
  19. KOMEGA REQUIREMENTS No.4, Version 3. Basic Application Scenario (last change: 4.September 2020)
  20. KOMEGA REQUIREMENTS No.4, Version 4. Basic Application Scenario (last change: 10.September 2020)
  21. KOMEGA REQUIREMENTS No.4, Version 5. Basic Application Scenario (last change: 13.September 2020)
  22. KOMEGA REQUIREMENTS: From the minimal to the basic Version. An Overview (last change: Oct 18, 2020)




ISSN 2567-6458, 18.June 2019 – 8.August  2020
Author: Gerd Doeben-Henisch


This post is part of the uffmm science blog and collects reviews of books related to the uffmm subject.


The most recent review is on top

    1. Review of Tarski (1936) On the concept of logical consequence, (1936) The establishment of scientific semantics, in one paper. (published 8.August 2020)
    2. Review of Maslow (1966) The Psychology of Science.(Part I: June-1, 2020, Part II: 21.Juni 2020)
    3. Review of EU’s trustworthy AI Ethic with Denning & Denning (2020)  and other authors from the point of view of GCA theory (May-11, 2020).
    4. Review of Tsu and Nourbakhsh (2020), When Human-Computer Interaction Meets Community Citizen Science. Empowering communities through citizen science. In the Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, ACM 2017: review-Tsu-et-2020-acm-CommunitySciences (April-6, 2020)
    5. Review of Nancy Leveson (2020), Are you sure your software will not kill anyone?, Communications of the ACM, February 2020, Vol.63, No.2, pp.25-28: review-leveson-2020-acm-yourSWwillNotKill
    6. Review of Miller & Page (2007), Complex Adaptive Systems. An Introduction to Computational Models of Social Life, example No.1 from Chapter 7: review-santa-fe-2-miller-page-2007-example-c7-no1c (PDF, Febr 5, 2020)
    7. Review of Miller & Page (2007), Complex Adaptive Systems. An Introduction to Computational Models of Social Life, Chapters 1-7,final: review-santa-fe-1-miller-page-2007-cc1-7-final (PDF, final, Febr 1,2020)
    8. Review of Cathy Stein Greenblat (1988), DESIGNING GAMES and SIMULATIONS, Complete review-greenblat-1988-1-2
    9. Review of Alan Newell and Herbert A.Simon (1972), Human Problem Solving (Last update: Oct 9, 2019):  review-newell-simon-1972-V1-4 Comment: This document will be replaced several times by the next extended version with the discussion of the text. One document spans in the end one complete chapter.
    10. Review of Peter Gärdenfors (2014), Geometry of Meaning. Semantics Based on Conceptual Spaces, Part 1, A Review from a Philosophical Point of View: review-gaerdenfors2014-c1-2
    11. Review of Charles R.Gallistel, (1990), The Organization of Learning. Part 1, A Review from a Philosophical Point of View: review-gallistel-part1-C1

    Remark: There have been many more reviews before this review section but these have been written in German and are located in the philosophy blog of G.Doeben Henisch.