DSRP

DSRP is a theory and method of thinking, developed by systems theorist and cognitive scientist Derek Cabrera. It is an acronym that stands for Distinctions, Systems, Relationships, and Perspectives. Cabrera posits that these four patterns underlie all cognition, that they are universal to the process of structuring information, and that people can improve their thinking skills by learning to use the four elements explicitly.[1]

Cabrera distinguishes between the DSRP theory and the DSRP method. The theory is the mathematical formalism and philosophical underpinnings, while the method is the set of tools and techniques people use in real life settings (notably in education).

History

DSRP was first described by Derek Cabrera in the book Remedial Genius.[2]^:13 In later writings, Cabrera describes D, S, R, and P as "patterns of thinking", and expands upon the implications of these thinking skills.[3][4] The DSRP theory is a mathematical formalism of systems thinking and cognition, built on the philosophical underpinnings of constructivism and evolutionary epistemology. The DSRP method is used in education and has influenced educational reform as well as in management of learning organizations.[5]

In 2008, a special section of the journal Evaluation and Program Planning was dedicated to examining the DSRP theory and method.[6]

The 2015 self-published book Systems Thinking Made Simple is an updated treatment of DSRP.[7][8]

DSRP theory

DSRP consists of four interrelated structures (or patterns), and each structure has two opposing elements. The structures and their elements are:[9]

• Making Distinctions – which consist of an identity and an other
• Organizing Systems – which consist of part and whole
• Recognizing Relationships – which consist of action and reaction
• Taking Perspectives – which consist of point and view

There are several rules governing DSRP:[10]

1. Each structure (D, S, R, or P) implies the existence of the other three structures.
2. Each structure implies the existence of its two elements and vice versa.
3. Each element implies its opposite (e.g. identity implies other).

These rules illustrate that DSRP is a modular, fractal, nonlinear, complex systems process. The four DSRP structures do not occur in a stepwise, linear process but in a highly interdependent, complex way.

DSRP theory states that these four structures are inherent in every piece of knowledge and are universal to all human thinking, and that any piece of information can be viewed using each of these structures to gain a deeper understanding of that information. The order in which the operations take place does not matter, as all four occur simultaneously.[11]

Gerald Midgley pointed out that the structures of DSRP have analogues in other systems theories: distinctions are analogous to the boundaries of Werner Ulrich's boundary critique; Stafford Beer's viable system model explores nested systems (parts and wholes) in ways analogous to the "S" of DSRP; Jay Wright Forrester's system dynamics is an exploration of relationships; and soft systems methodology explores perspectives.[12]^:318

Example

Any piece of information can be analyzed using each of these elements. For example, consider the U.S. Democratic Party. By giving the party a name, Democratic, a distinction is drawn between it and all other entities. In this instance, the Democratic Party is the identity and everything else (including the U.S. Republican Party) is the other. From the perspective of the Republican Party ("identity"), however, the Democratic Party is the other.

The Democratic Party is also a system—it is a whole entity, but it is made up of constituent parts—its membership, hierarchy, values, etc. When viewed from a different perspective, the Democratic Party is just a part of the whole universe of American political parties.

The Democratic Party is in relationship with innumerable other entities, for example, the news media, current events, the American electorate, etc., each of which mutually influence the Party—a relationship of cause and effect. The Party is also a relationship itself between other concepts, for example, between a voter and political affiliation.

The Democratic Party is also a perspective on the world—a point in the political landscape from which to view issues.

Formula

The primary application of the DSRP theory is through its various methodological tools but the theory itself is a mathematical formalism that contributes to the fields of evolutionary epistemology and cognition. The formal theory states that DSRP are simple rules in a complex adaptive system that yields systems thinking:

${\displaystyle {ST}_{n}={\underset {info}{\oplus }}{\underset {j\leq n}{\otimes }}{\left\{:{D}_{o}^{i}\circ {S}_{w}^{p}\circ {R}_{r}^{a}\circ {P}_{v}^{\rho }:\right\}}_{j}}$

The equation explains that autonomous agents (information, ideas or things) following simple rules (D,S,R,P) with their elemental pairs (i-o, p-w, a-r, ρ-v) in nonlinear order (:) and with various co-implications of the rules (○), the collective dynamics of which over a time series j to n leads to the emergence of what we might refer to as systems thinking (ST).

The elements of each of the four patterns follow a simple underlying logic as do the interactions between patterns. This logic underlies the unique ability of DSRP to be characterized as multivalent, but contain within it bivalency.

${\displaystyle P:=\left({e}_{1}\leftrightarrow {e}_{2}\right)}$	A Pattern is defined as element1 co-implying an element2
An element1 exists	An element2 exists	element1 co-implies element2	A Pattern exists
${\displaystyle {e}_{1}}$	${\displaystyle {e}_{2}}$	${\displaystyle \left({e}_{1}\leftrightarrow {e}_{2}\right)}$	${\displaystyle$ :=P}

${\displaystyle D:=\left({i}\leftrightarrow {o}\right)}$	A Distinction is defined as identity co-implying an other
An identity exists	An other exists	identity co-implies other	A Distinction exists
${\displaystyle {i}}$	${\displaystyle {o}}$	${\displaystyle \left({i}\leftrightarrow {o}\right)}$	${\displaystyle$ :=D}

${\displaystyle S:=\left({p}\leftrightarrow {w}\right)}$	A System is defined a whole co-implying a part(s)
A whole exists	A part exists	whole co-implies part	A System exists
${\displaystyle {w}}$	${\displaystyle {p}}$	${\displaystyle \left({w}\leftrightarrow {p}\right)}$	${\displaystyle$ :=S}

${\displaystyle R:=\left({a}\leftrightarrow {r}\right)}$	A Relationship is defined as an action co-implying a reaction
An action exists	A reaction exists	action co-implies reaction	A Relationship exists
${\displaystyle {a}}$	${\displaystyle {r}}$	${\displaystyle \left({a}\leftrightarrow {r}\right)}$	${\displaystyle$ :=R}

${\displaystyle P:=\left(\rho \leftrightarrow {v}\right)}$	A Perspective is defined as a point co-implying a view
A point exists	A view exists	point co-implies view	A Perspective exists
${\displaystyle {\rho }}$	${\displaystyle {v}}$	${\displaystyle \left(\rho \leftrightarrow {v}\right)}$	${\displaystyle$ :=P}

${\displaystyle \intercal \left(D\vee S\vee R\vee P\right)\rightarrow \left(D\wedge S\wedge R\wedge P\right)}$	The existence of D or S or R or P implies the existence of D and S and R and P
If D or S or R or P exists	Then D and S and R and P exists	One Pattern implies all the Patterns
${\displaystyle \left(D\vee S\vee R\vee P\right)}$	${\displaystyle \left(D\wedge S\wedge R\wedge P\right)}$	${\displaystyle \intercal \left(D\vee S\vee R\vee P\right)\rightarrow \left(D\wedge S\wedge R\wedge P\right)}$

DSRP method

DSRP as a method is built upon two premises: first, that humans build knowledge, with knowledge and thinking being in a continuous feedback loop (e.g., constructivism), and second, that knowledge changes (e.g., evolutionary epistemology).[4]^:19–21 The DSRP method builds upon this constructivist view of knowledge by encouraging users to physically and graphically examine information. Users take concepts and model them with physical objects or diagrams. These objects are then moved around and associated in different ways to represent some piece of information, or content, and its context in terms of distinctions, systems, relationships, or perspectives. Once a concept has been modeled and explored using at least one of the four elements of DSRP, the user goes back to see if the existing model is sufficient for his or her needs, and if not, chooses another element and explores the concept using that. This process is repeated until the user is satisfied with the model.[13]

The DSRP method has several parts, including mindset, root lists, guiding questions, tactile manipulatives, and DSRP diagrams.

Mindset

The DSRP mindset is the paradigmatic shift toward thinking about underlying structure of ideas rather than only the content of speech acts, curriculum, or information of any kind. The DSRP mindset means the person is explicating underlying structure.

Root lists

Root lists are simply lists of various concepts, behaviors, and cognitive functions that are "rooted in" D, S, R, or P. These root lists show the research linkages between the four universal structures and existing structures which users may be more familiar with such as categorization, sorting, cause and effect, etc.

Guiding questions

Guiding questions provide users with something akin to the Socratic method of questioning but using DSRP as the underlying logic. Users pose "guiding questions", of which there are two for each structure of DSRP. The guiding questions are:[4]

• Distinctions
  • What is __________?
  • What is not __________?
• Systems
  • Does _________ have parts?
  • Can you think of _________ as a part?
• Relationships
  • Is ________ related to __________?
  • Can you think of ________ as a relationship?
• Perspectives
  • From the perspective of __________, [insert question]?
  • Can you think about ____________ from a different perspective?

Tactile manipulatives and DSRP diagrams

Users are encouraged to model ideas with blocks or other physical objects, or to draw (diagram) ideas in terms of D, S, R, and P. This aspect of the method is promoted as a form of nonlinguistic representation of ideas, based on research showing that learners acquire and structure knowledge more effectively when information is presented in linguistic and nonlinguistic formats.

Educational outcomes

With continued use, the method is supposed to improve six specific types of thinking skills:[11]

• Critical thinking improves as people learn to examine the reasoning behind the distinctions they draw and the perspectives and relationships that influence how information is presented
• Creative thinking improves as people make connections (i.e. relationships) between new pieces of information.
• Systems thinking improves as one becomes increasingly fluent with all four elements of DSRP.
• Interdisciplinary thinking improves as people reconsider boundaries (i.e. distinctions) and make connections between new pieces of information.
• Scientific thinking improves as people learn to analyze information in a logical way.
• Emotional intelligence and prosocial behavior improves as people learn to take multiple perspectives—particularly to imagine the perspectives of other people.

In addition, the DSRP method is supposed to improve teacher effectiveness.

Applications

Cabrera claims that DSRP theory, as a mathematical and epistemological formalism, and the DSRP method, as a set of cognitive tools, is universally applicable to any field of knowledge.[1]

Education

The DSRP method has been used extensively in educational settings from preschool through post-secondary settings. The DSRP method, as applied in education, is intended to work with existing subject-specific curricula to build thinking skills and provide a way for students to structure content knowledge.[14]

Organizational learning

As a universal theory of systems thinking, DSRP method is in broad use as the basis for organizational learning. The link between organizational learning and systems thinking was made by Peter Senge.[15] DSRP forms the basis of an organizational systems and learning model called VMCL.

Physical, natural, and social sciences

Because its creators claim that DSRP is both an epistemological and an ontological theory (that is, it is predictive not only of what is known but also how new things will come to be known and how those things are actually structured a priori),[1] it could be used not only to deconstruct existing (known) knowledge about any phenomena but also can be used as a predictive and prescriptive tool to advance any area of knowledge about any physical, natural, or social phenomena.

DSRP theory posits that the mind–body problem and symbol grounding problem that causes a disconnect between our knowledge of physical things and the physical world (the basis of systems thinking) is resolved because our universal DSRP cognitive structures evolved within the boundaries and constraints of the physical, chemical, and biological laws. That is, ontological underlying structure of physical things as well as the epistemological underlying structure of ideas is reconciled under DSRP.[16]

Evaluation and program planning

DSRP has been used to apply systems thinking to the fields of evaluation and program planning, including a National Science Foundation-funded initiative to evaluate of large-scale science, technology, engineering, and math (STEM) education programs,[17] as well as evaluations of the complexity science education programs of the Santa Fe Institute.[18]

Software

DSRP provides the conceptual foundation for Plectica, a cloud-based application.[19] The card structure and mapping features tacitly reference DSRP rules and provide an environment in which users can create visual maps of DSRP constructs on any topic or process.

Criticism

Not all experts agree that DSRP is a universal model for systems thinking, as Cabrera claims. Gerald Midgley has argued that the "DSRP pattern that Cabrera et al. propose is an interpretation imposed on other perspectives, and they are prepared to dismiss concepts in those perspectives that do not fit."[12]^:318 Midgley argued for pragmatic methodological pluralism against unification, and he advised: "Rather than seeking to rationalise the systems thinking field, arguably they [Cabrera et al.] would be better off acknowledging that theirs is one perspective amongst many. It is then up to them to argue its coherence and utility while still keeping the door open to insights from other perspectives."[12]^:319–320

See also

• Creative problem-solving
• Critical systems thinking
• Conceptual model
• Double-loop learning
• Fallacy of misplaced concreteness
• Function model
• Higher order thinking
• Knowing and the Known
• Mental model
• Metamodeling
• Model-dependent realism
• Pattern language
• Pedagogical patterns
• Perspective (cognitive)
• Problem solving
• Structure chart
• Systems analysis
• Systems theory
• Theory of everything § Arguments against a theory of everything
• View model
• World Hypotheses

References

1. Cabrera, Derek; Colosi, Laura; Lobdell, Claire (August 2008). "Systems thinking". Evaluation and Program Planning. 31 (3): 299–310. doi:10.1016/j.evalprogplan.2007.12.001. PMID 18272224.
2. Cabrera, Derek (2001). Remedial genius: think and learn like a genius with the five principles of knowledge. Loveland, Colo.: Project N Press. ISBN 978-0970804501. OCLC 47880905.
3. Cabrera, Derek (May 2006). Systems thinking: four universal patterns of thinking (PDF) (Ph.D. thesis). Ithaca, NY: Cornell University. OCLC 303117195.
4. Cabrera, Derek; Colosi, Laura (2012) [2009]. Thinking at every desk: four simple skills to transform your classroom. Norton books in education. New York: W.W. Norton & Co. ISBN 9780393707564. OCLC 759908576.
5. Hernandez, Sascha (2014-12-09). "TED-style event focuses on systems thinking". Cornell University. Cornell Chronicle. Retrieved 2017-01-18.
6. "Special section: The patterns of thinking method applied to evaluation theory and practice". Evaluation and Program Planning. 31 (3): 299–334.
7. Cabrera, Derek (2015). Systems thinking made simple: new hope for solving wicked problems. Ithaca, NY: Odyssean Press. ISBN 978-0996349307. OCLC 915799089.
8. Emerson, Robert (December 2015). "Book review: Systems Thinking Made Simple: New Hope for Solving Wicked Problems by Derek and Laura Cabrera, Odyssean Press, 2015". Insight. 18 (4): 41. doi:10.1002/inst.12062.
9. Wheeler, Greg (2010). "A simple solution to a complex problem". ACSD Express. 5 (23). Archived from the original on 2015-09-26.
10. Cabrera, Derek (April 2008). "Distinctions, systems, relationships, perspectives: the simple rules of complex conceptual systems: a universal descriptive grammar of cognition". Proceedings of the 52nd Annual Meeting of the ISSS – 2008, Madison, Wisconsin. 3 (1).
11. "TEDxWilliamsport - Dr. Derek Cabrera - How Thinking Works". YouTube. December 6, 2011.
12. Midgley, Gerald (August 2008). "Response to paper 'Systems thinking' by D. Cabrera et al.: The unification of systems thinking: Is there gold at the end of the rainbow?". Evaluation and Program Planning. 31 (3): 317–321. doi:10.1016/j.evalprogplan.2008.04.002. PMID 18547644.
13. "Method of teaching thinking skills and knowledge acquisition". Google Patents.
14. Orr, Jennifer (2012). "Thinking about thinking skills: not how, but what". Archived from the original on 2015-09-14. Retrieved 2016-03-17.
15. Senge, Peter (1990). The fifth discipline: the art and practice of the learning organization (0385260954 ed.). New York: Doubleday. pp. 424.
16. A video demonstration provides a specific example of how DSRP applies to scientific discovery both descriptively and predictively: "New Dolphin Species DSRP Creates New Knowledge". YouTube. September 16, 2011.
17. Steele, Bill (June 15, 2006). "Did outreach really work? Cornell team will develop tools to evaluate science and technology education". Cornell Chronicle Online. Archived from the original on 2006-06-21. Retrieved 2016-03-17.
18. Stites, Janet (Winter 2007). "[email protected] creates a blueprint for complexity science education" (PDF). Santa Fe Institute Bulletin. 22 (1): 45–51. Archived from the original (PDF) on 2011-10-17. Retrieved 2012-03-01.
19. Walters, Riveraine; Kenzie, Erin; Metzger, Alexander; Baltutis, William Jesse; Chakrabarti, Kakali; Hirsch, Shana; Laursen, Bethany (April 2019). "A systems thinking approach for eliciting mental models from visual boundary objects in hydropolitical contexts: a case study from the Pilcomayo River Basin". Ecology and Society. 24 (2): 9. doi:10.5751/ES-10586-240209.

Further reading

• Arnopoulos, Paris (2005) [1993]. Sociophysics: cosmos and chaos in nature and culture (2nd ed.). Hauppauge, NY: Nova Science Publishers. ISBN 978-1590339671. OCLC 54501389.
• Basseches, Michael (1980). "Dialectical schemata: a framework for the empirical study of the development of dialectical thinking". Human Development. 23 (6): 400–421. doi:10.1159/000272600.
• Basseches, Michael (1984). Dialectical thinking and adult development. Publications for the advancement of theory and history in psychology. 3. Norwood, NJ: Ablex Publishing. ISBN 978-0893910174. OCLC 10532903.
• Benack, Suzanne; Basseches, Michael; Swan, Thomas (1989). "Dialectical thinking and adult creativity". In Torrance, E. Paul; Glover, John A.; Ronning, Royce R; Reynolds, Cecil R. (eds.). Handbook of creativity. Perspectives on individual differences. New York: Plenum Press. pp. 199–208. doi:10.1007/978-1-4757-5356-1_12. ISBN 978-0306431609. OCLC 20012005.
• Böttcher, Florian; Meisert, Anke (February 2011). "Argumentation in science education: a model-based framework". Science & Education. 20 (2): 103–140. Bibcode:2011Sc&Ed..20..103B. doi:10.1007/s11191-010-9304-5.
• Bunge, Mario Augusto (2012). Evaluating philosophies. Boston studies in the philosophy of science. 295. New York: Springer Verlag. doi:10.1007/978-94-007-4408-0. ISBN 9789400744073. OCLC 806947226.
• Chu, Dominique (February 2011). "Complexity: against systems" (PDF). Theory in Biosciences / Theorie in den Biowissenschaften. 130 (3): 229–245. doi:10.1007/s12064-011-0121-4. PMID 21287293.
• Dewey, John (1998) [1933]. How we think: a restatement of the relation of reflective thinking to the educative process (Revised ed.). Boston: Houghton Mifflin. ISBN 978-0395897546. OCLC 38878663.
• Dewey, John (1938). Logic: the theory of inquiry. New York: Henry Holt and Company. ISBN 9780030052507. OCLC 229987.
• Dewey, John; Bentley, Arthur Fisher (1949). Knowing and the known (PDF). Boston: Beacon Press. OCLC 1435965.
• Ferreira, J. Soeiro (June 2013). "Multimethodology in metaheuristics" (PDF). Journal of the Operational Research Society. 64 (6): 873–883. doi:10.1057/jors.2012.88.
• Hicks, Michael J. (2004) [1991]. Problem solving and decision making: hard, soft and creative approaches (2nd ed.). London; New York: Thomson. ISBN 9781861526175. OCLC 55852024.
• Hogan, Michael J.; Harney, Owen M.; Broome, Benjamin J. (2014). "Integrating argument mapping with systems thinking tools: advancing applied systems science". In Okada, Alexandra; Buckingham Shum, Simon J.; Sherborne, Tony (eds.). Knowledge cartography: software tools and mapping techniques. Advanced information and knowledge processing (2nd ed.). New York: Springer Verlag. pp. 401–421. doi:10.1007/978-1-4471-6470-8_18. ISBN 9781447164692. OCLC 890438015.
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• Hovmand, Peter S. (2014). Community based system dynamics. New York: Springer Verlag. doi:10.1007/978-1-4614-8763-0. ISBN 978-1461487623. OCLC 857646084.
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• Jordan, Thomas (2014). "Deliberative methods for complex issues: a typology of functions that may need scaffolding". Group Facilitation: A Research and Applications Journal (13): 50–71.
• Jordan, Thomas; Andersson, Pia; Ringnér, Helena (February 2013). "The spectrum of responses to complex societal issues: reflections on seven years of empirical inquiry". Integral Review. 9 (1): 34–70.
• Mathewson, James H. (April 2005). "The visual core of science: definition and applications to education". International Journal of Science Education. 27 (5): 529–548. Bibcode:2005IJSEd..27..529M. doi:10.1080/09500690500060417.
• Mathewson, James H. (January 1999). "Visual-spatial thinking: an aspect of science overlooked by educators". Science Education. 83 (1): 33–54. Bibcode:1999SciEd..83...33M. doi:10.1002/(SICI)1098-237X(199901)83:1<33::AID-SCE2>3.0.CO;2-Z.
• Midgley, Gerald; Cavana, Robert Y.; Brocklesby, John; Foote, Jeff L.; Wood, David R. R.; Ahuriri-Driscoll, Annabel (August 2013). "Towards a new framework for evaluating systemic problem structuring methods". European Journal of Operational Research. 229 (1): 143–154. doi:10.1016/j.ejor.2013.01.047.
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• Straus, David (2002). "The 64 heuristics". How to make collaboration work: powerful ways to build consensus, solve problems, and make decisions. San Francisco: Berrett-Koehler. pp. 219–221. ISBN 978-1576751282. OCLC 49350877.
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• Veldhuis, Guido Arjan; Scheepstal, Peter van; Rouwette, Etiënne; Logtens, Tom (June 2015). "Collaborative problem structuring using MARVEL". EURO Journal on Decision Processes. 3 (3–4): 249–273. doi:10.1007/s40070-015-0045-1.
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External links

• Cabrera Research Lab