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 0.0558	Lelei vaivai 0.0313	Leaga vaivai -0.0163	Lelei vaivai 0.0916	Lelei vaivai 0.0302	Leaga vaivai -0.0128	Leaga vaivai -0.1543
Answer 2	-	Lelei vaivai 0.0228	Leaga vaivai -0.0008	Leaga vaivai -0.0444	Lelei vaivai 0.0633	Lelei vaivai 0.0452	Lelei vaivai 0.0131	Leaga vaivai -0.0941
Answer 3	-	Leaga vaivai -0.0029	Leaga vaivai -0.0120	Leaga vaivai -0.0413	Leaga vaivai -0.0466	Lelei vaivai 0.0471	Lelei vaivai 0.0784	Leaga vaivai -0.0197
Answer 4	-	Lelei vaivai 0.0438	Lelei vaivai 0.0343	Leaga vaivai -0.0203	Lelei vaivai 0.0152	Lelei vaivai 0.0311	Lelei vaivai 0.0204	Leaga vaivai -0.0978
Answer 5	-	Lelei vaivai 0.0305	Lelei vaivai 0.1279	Lelei vaivai 0.0130	Lelei vaivai 0.0732	Leaga vaivai -0.0002	Leaga vaivai -0.0204	Leaga vaivai -0.1756
Answer 6	-	Leaga vaivai -0.0007	Lelei vaivai 0.0076	Leaga vaivai -0.0634	Leaga vaivai -0.0077	Lelei vaivai 0.0195	Lelei vaivai 0.0833	Leaga vaivai -0.0310
Answer 7	-	Lelei vaivai 0.0120	Lelei vaivai 0.0377	Leaga vaivai -0.0696	Leaga vaivai -0.0237	Lelei vaivai 0.0472	Lelei vaivai 0.0644	Leaga vaivai -0.0512
Answer 8	-	Lelei vaivai 0.0699	Lelei vaivai 0.0852	Leaga vaivai -0.0331	Lelei vaivai 0.0147	Lelei vaivai 0.0347	Lelei vaivai 0.0132	Leaga vaivai -0.1366
Answer 9	-	Lelei vaivai 0.0670	Lelei vaivai 0.1684	Lelei vaivai 0.0088	Lelei vaivai 0.0687	Leaga vaivai -0.0130	Leaga vaivai -0.0520	Leaga vaivai -0.1823
Answer 10	-	Lelei vaivai 0.0781	Lelei vaivai 0.0752	Leaga vaivai -0.0216	Lelei vaivai 0.0249	Lelei vaivai 0.0349	Leaga vaivai -0.0132	Leaga vaivai -0.1300
Answer 11	-	Lelei vaivai 0.0580	Lelei vaivai 0.0526	Leaga vaivai -0.0095	Lelei vaivai 0.0083	Lelei vaivai 0.0204	Lelei vaivai 0.0307	Leaga vaivai -0.1196
Answer 12	-	Lelei vaivai 0.0391	Lelei vaivai 0.1039	Leaga vaivai -0.0361	Lelei vaivai 0.0357	Lelei vaivai 0.0256	Lelei vaivai 0.0295	Leaga vaivai -0.1522
Answer 13	-	Lelei vaivai 0.0647	Lelei vaivai 0.1042	Leaga vaivai -0.0439	Lelei vaivai 0.0261	Lelei vaivai 0.0425	Lelei vaivai 0.0173	Leaga vaivai -0.1602
Answer 14	-	Lelei vaivai 0.0713	Lelei vaivai 0.1028	Leaga vaivai -0.0008	Leaga vaivai -0.0090	Leaga vaivai -0.0006	Lelei vaivai 0.0084	Leaga vaivai -0.1173
Answer 15	-	Lelei vaivai 0.0556	Lelei vaivai 0.1363	Leaga vaivai -0.0433	Lelei vaivai 0.0179	Leaga vaivai -0.0155	Lelei vaivai 0.0223	Leaga vaivai -0.1176
Answer 16	-	Lelei vaivai 0.0592	Lelei vaivai 0.0270	Leaga vaivai -0.0386	Leaga vaivai -0.0401	Lelei vaivai 0.0657	Lelei vaivai 0.0282	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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