Mathematical Psychology

This project investigates mathematical psychology's historical and philosophical foundations to clarify its distinguishing characteristics and relationships to adjacent fields. Through gathering primary sources, histories, and interviews with researchers, author Prof. Colin Allen - University of Pittsburgh [1, 2, 3] and his students Osman Attah, Brendan Fleig-Goldstein, Mara McGuire, and Dzintra Ullis have identified three central questions:

What makes the use of mathematics in mathematical psychology reasonably effective, in contrast to other sciences like physics-inspired mathematical biology or symbolic cognitive science?
How does the mathematical approach in mathematical psychology differ from other branches of psychology, like psychophysics and psychometrics?
What is the appropriate relationship of mathematical psychology to cognitive science, given diverging perspectives on aligning with this field?

Preliminary findings emphasize data-driven modeling, skepticism of cognitive science alignments, and early reliance on computation. They will further probe the interplay with cognitive neuroscience and contrast rational-analysis approaches. By elucidating the motivating perspectives and objectives of different eras in mathematical psychology's development, they aim to understand its past and inform constructive dialogue on its philosophical foundations and future directions. This project intends to provide a conceptual roadmap for the field through integrated history and philosophy of science.

The Project: Integrating History and Philosophy of Mathematical Psychology

This project aims to integrate historical and philosophical perspectives to elucidate the foundations of mathematical psychology. As Norwood Hanson stated, history without philosophy is blind, while philosophy without history is empty. The goal is to find a middle ground between the contextual focus of history and the conceptual focus of philosophy.

The team acknowledges that all historical accounts are imperfect, but some can provide valuable insights. The history of mathematical psychology is difficult to tell without centering on the influential Stanford group. Tracing academic lineages and key events includes part of the picture, but more context is needed to fully understand the field's development.

The project draws on diverse sources, including research interviews, retrospective articles, formal histories, and online materials. More interviews and research will further flesh out the historical and philosophical foundations. While incomplete, the current analysis aims to identify important themes, contrasts, and questions that shaped mathematical psychology's evolution. Ultimately, the goal is an integrated historical and conceptual roadmap to inform contemporary perspectives on the field's identity and future directions.

The Rise of Mathematical Psychology

The history of efforts to mathematize psychology traces back to the quantitative imperative stemming from the Galilean scientific revolution. This imprinted the notion that proper science requires mathematics, leading to "physics envy" in other disciplines like psychology.

Many early psychologists argued psychology needed to become mathematical to be scientific. However, mathematizing psychology faced complications absent in the physical sciences. Objects in psychology were not readily present as quantifiable, provoking heated debates on whether psychometric and psychophysical measurements were meaningful.

Nonetheless, the desire to develop mathematical psychology persisted. Different approaches grappled with determining the appropriate role of mathematics in relation to psychological experiments and data. For example, Herbart favored starting with mathematics to ensure accuracy, while Fechner insisted experiments must come first to ground mathematics.

Tensions remain between data-driven versus theory-driven mathematization of psychology. Contemporary perspectives range from psychometric and psychophysical stances that foreground data to measurement-theoretical and computational approaches that emphasize formal models.

Elucidating how psychologists negotiated to apply mathematical methods to an apparently resistant subject matter helps reveal the evolving role and place of mathematics in psychology. This historical interplay shaped the emergence of mathematical psychology as a field.

The Distinctive Mathematical Approach of Mathematical Psychology

What sets mathematical psychology apart from other branches of psychology in its use of mathematics?

Several key aspects stand out:

Advocating quantitative methods broadly. Mathematical psychology emerged partly to push psychology to embrace quantitative modeling and mathematics beyond basic statistics.
Drawing from diverse mathematical tools. With greater training in mathematics, mathematical psychologists utilize more advanced and varied mathematical techniques like topology and differential geometry.
Linking models and experiments. Mathematical psychologists emphasize tightly connecting experimental design and statistical analysis, with experiments created to test specific models.
Favoring theoretical models. Mathematical psychology incorporates "pure" mathematical results and prefers analytic, hand-fitted models over data-driven computer models.
Seeking general, cumulative theory. Unlike just describing data, mathematical psychology aspires to abstract, general theory supported across experiments, cumulative progress in models, and mathematical insight into psychological mechanisms.

So while not unique to mathematical psychology, these key elements help characterize how its use of mathematics diverges from adjacent fields like psychophysics and psychometrics. Mathematical psychology carved out an identity embracing quantitative methods but also theoretical depth and broad generalization.

Situating Mathematical Psychology Relative to Cognitive Science

What is the appropriate perspective on mathematical psychology's relationship to cognitive psychology and cognitive science? While connected historically and conceptually, essential distinctions exist.

Mathematical psychology draws from diverse disciplines that are also influential in cognitive science, like computer science, psychology, linguistics, and neuroscience. However, mathematical psychology appears more skeptical of alignments with cognitive science.

For example, cognitive science prominently adopted the computer as a model of the human mind, while mathematical psychology focused more narrowly on computers as modeling tools.

Additionally, mathematical psychology seems to take a more critical stance towards purely simulation-based modeling in cognitive science, instead emphasizing iterative modeling tightly linked to experimentation.

Overall, mathematical psychology exhibits significant overlap with cognitive science but strongly asserts its distinct mathematical orientation and modeling perspectives. Elucidating this complex relationship remains an ongoing project, but preliminary analysis suggests mathematical psychology intentionally diverged from cognitive science in its formative development.

This establishes mathematical psychology's separate identity while retaining connections to adjacent disciplines at the intersection of mathematics, psychology, and computation.

Looking Ahead: Open Questions and Future Research

This historical and conceptual analysis of mathematical psychology's foundations has illuminated key themes, contrasts, and questions that shaped the field's development. Further research can build on these preliminary findings.

Additional work is needed to flesh out the fuller intellectual, social, and political context driving the evolution of mathematical psychology. Examining the influences and reactions of key figures will provide a richer picture.

Ongoing investigation can probe whether the identified tensions and contrasts represent historical artifacts or still animate contemporary debates. Do mathematical psychologists today grapple with similar questions on the role of mathematics and modeling?

Further analysis should also elucidate the nature of the purported bidirectional relationship between modeling and experimentation in mathematical psychology. As well, clarifying the diversity of perspectives on goals like generality, abstraction, and cumulative theory-building would be valuable.

Finally, this research aims to spur discussion on philosophical issues such as realism, pluralism, and progress in mathematical psychology models. Is the accuracy and truth value of models an important consideration or mainly beside the point? And where is the field headed - towards greater verisimilitude or an indefinite balancing of complexity and abstraction?

By spurring reflection on this conceptual foundation, this historical and integrative analysis hopes to provide a roadmap to inform constructive dialogue on mathematical psychology's identity and future trajectory.

The SDTEST^®

The SDTEST^® is a simple and fun tool to uncover our unique motivational values that use mathematical psychology of varying complexity.

The SDTEST^® helps us better understand ourselves and others on this lifelong path of self-discovery.

Here are reports of polls which SDTEST^® makes:

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26) Su'esu'ega aganu'u a Xing.com

27) Patrick LenCioni's "O le Lima Dysfanotions o le 'au"

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29) O le a le mea e taua mo ia i le filifilia o se galuega ofo?

30) Aisea e teteʻe ai tagata i suiga (e Siobhán Mchale)

31) Faʻafefea ona e faʻatonutonu ou lagona? (SAUNIA E NAWAL LE MUTATA M.A.)

32) 21 Tomai e Totogi Oe e Faavavau (SAUNIA E SAMA TOO / 赵汉昇)

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35) Uiga o se tagata talenia tagata faigaluega (e le taleni pulega inisitituti)

36) 10 ki e faaosofia ai lau 'au

37) Algebra of Conscience (saunia e Vladimir Lefebvre)

38) E Tolu Tulaga Eseese o le Lumanai (saunia e Dr. Clare W. Graves)

Below you can read an abridged version of the results of our VUCA poll “Fears“. The full version of the results is available for free in the FAQ section after login or registration.

Fefe

siata Faamaopoopo

VUCA

Tau aogā taua o le coefficient faamaopoopoga

Masani tufatufaina, saunia e William Sealy Gosset (Tamaiti Aoga) r = 0.033

Le masani ai tufatufaina, saunia e Spearman r = 0.0013

Faʻailoa naʻo faʻaiuga > r = 0.033

Tufatufaina	Le masani	Le masani	Le masani	Masani	Masani	Masani	Masani	Masani
Fesili uma Fesili uma O loʻu fefe silisili o
O loʻu fefe silisili o
Answer 1	-	Lelei vaivai 0.0559	Lelei vaivai 0.0315	Leaga vaivai -0.0170	Lelei vaivai 0.0920	Lelei vaivai 0.0294	Leaga vaivai -0.0124	Leaga vaivai -0.1539
Answer 2	-	Lelei vaivai 0.0229	Leaga vaivai -0.0002	Leaga vaivai -0.0448	Lelei vaivai 0.0636	Lelei vaivai 0.0445	Lelei vaivai 0.0134	Leaga vaivai -0.0939
Answer 3	-	Leaga vaivai -0.0032	Leaga vaivai -0.0121	Leaga vaivai -0.0416	Leaga vaivai -0.0462	Lelei vaivai 0.0466	Lelei vaivai 0.0788	Leaga vaivai -0.0195
Answer 4	-	Lelei vaivai 0.0438	Lelei vaivai 0.0348	Leaga vaivai -0.0195	Lelei vaivai 0.0153	Lelei vaivai 0.0300	Lelei vaivai 0.0207	Leaga vaivai -0.0980
Answer 5	-	Lelei vaivai 0.0304	Lelei vaivai 0.1282	Lelei vaivai 0.0135	Lelei vaivai 0.0734	Leaga vaivai -0.0013	Leaga vaivai -0.0200	Leaga vaivai -0.1757
Answer 6	-	Leaga vaivai -0.0002	Lelei vaivai 0.0082	Leaga vaivai -0.0627	Leaga vaivai -0.0083	Lelei vaivai 0.0193	Lelei vaivai 0.0831	Leaga vaivai -0.0315
Answer 7	-	Lelei vaivai 0.0126	Lelei vaivai 0.0381	Leaga vaivai -0.0687	Leaga vaivai -0.0243	Lelei vaivai 0.0469	Lelei vaivai 0.0642	Leaga vaivai -0.0515
Answer 8	-	Lelei vaivai 0.0698	Lelei vaivai 0.0848	Leaga vaivai -0.0327	Lelei vaivai 0.0148	Lelei vaivai 0.0345	Lelei vaivai 0.0134	Leaga vaivai -0.1365
Answer 9	-	Lelei vaivai 0.0668	Lelei vaivai 0.1676	Lelei vaivai 0.0083	Lelei vaivai 0.0693	Leaga vaivai -0.0131	Leaga vaivai -0.0516	Leaga vaivai -0.1818
Answer 10	-	Lelei vaivai 0.0782	Lelei vaivai 0.0753	Leaga vaivai -0.0204	Lelei vaivai 0.0247	Lelei vaivai 0.0342	Leaga vaivai -0.0131	Leaga vaivai -0.1304
Answer 11	-	Lelei vaivai 0.0578	Lelei vaivai 0.0532	Leaga vaivai -0.0096	Lelei vaivai 0.0087	Lelei vaivai 0.0195	Lelei vaivai 0.0311	Leaga vaivai -0.1196
Answer 12	-	Lelei vaivai 0.0390	Lelei vaivai 0.1037	Leaga vaivai -0.0358	Lelei vaivai 0.0358	Lelei vaivai 0.0250	Lelei vaivai 0.0299	Leaga vaivai -0.1520
Answer 13	-	Lelei vaivai 0.0644	Lelei vaivai 0.1048	Leaga vaivai -0.0448	Lelei vaivai 0.0268	Lelei vaivai 0.0417	Lelei vaivai 0.0178	Leaga vaivai -0.1600
Answer 14	-	Lelei vaivai 0.0712	Lelei vaivai 0.1021	Leaga vaivai -0.0007	Leaga vaivai -0.0088	Leaga vaivai -0.0011	Lelei vaivai 0.0088	Leaga vaivai -0.1169
Answer 15	-	Lelei vaivai 0.0557	Lelei vaivai 0.1365	Leaga vaivai -0.0423	Lelei vaivai 0.0177	Leaga vaivai -0.0162	Lelei vaivai 0.0224	Leaga vaivai -0.1179
Answer 16	-	Lelei vaivai 0.0591	Lelei vaivai 0.0273	Leaga vaivai -0.0386	Leaga vaivai -0.0400	Lelei vaivai 0.0653	Lelei vaivai 0.0284	Leaga vaivai -0.0708

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[1] https://twitter.com/wileyprof

[2] https://colinallen.dnsalias.org

[3] https://philpeople.org/profiles/colin-allen

2023.10.13

Valeri Kosenko

Oloa oloa sas as fagafao poloketi sdtest®

Sa agavaa ai le valeri o le lautele o le pergogogy-psychogist i le 1993 ma ua uma ona faʻaaoga lona iloa i le puleaina o le poloketi.
Na maua e Valeri tikeri o le matai ma le Polokalame agavaa ma Polokalama Manaoga i le 2013. I le polokalame a lona master, na ia masani ai ma le Polokalame o le Polokalama FIA. V.) ma Spiral Dynamics E. V.
Na faia e le valeriri le tele o suʻega o faʻataʻitaʻiga ma faʻaaoga lona iloa ma le poto masani e faʻafetaui ai le taimi nei o le sctest.
Vuleri o le tusitala o le suesueina o le le mautonu o le v.u.c.a. manatu o le faʻaaogaina o le spiral dynamictics ma matematika fuainumera i psychology, sili atu nai lo le 20 vaitusi faʻavaomalo.

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