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:

1) Soňky aýda işgärler bilen baglanyşykly kompaniýalaryň hereketleri (hawa / ýok)

2) Soňky aýda işgärler bilen baglanyşykly kompaniýalaryň hereketleri (% -de fakt)

3) Gorkuz

4) Meniň ýurduma ýüzbe-ýüz bolýan iň uly meseleler

5) Üstünlikli toparlary guranyňyzda haýsy häsiýetleri we başarnyklary ulanýarlar?

6) Google. Toparyň netijeliligine täsir edýän faktorlar

7) Iş gözleýänleriň esasy ileri tutulýan ugurlary

8) Bosbiýa uly lider näme edýär?

9) Adamlary işde üstünlik gazanýan näme edýär?

10) Uzakdan işlemek üçin az aýlyk almaga taýynmy?

11) Ageaşizm barmy?

12) Karýeradaky ýaşizm

13) Durmuşda ýaşizm

14) Ageaşylygyň sebäpleri

15) Adamlaryň ýüz öwürmeginiň sebäpleri (Anna witan tarapyndan)

16) Ynam (#WVS)

17) Oksford bagty gözleg

18) Psihologiki abadançylyk

19) Indiki iň tolgundyryjy pursatyňyz nirede?

20) Akyl saglygyňyza seretmek üçin bu hepde näme ederdiňiz?

21) Geçmişim, häzirki ýa-da geljegi barada pikir edýärin

22) Meritokratiýa

23) Emeli intellekt we siwilizasiýanyň soňy

24) Adamlar näme üçin adamlar gijä galýarlar?

25) Özüňe ynam döretmekdäki jyns tapawudy (ifd solnsach)

26) Xing.com medeniýetine baha bermek

27) Patrik Lencioniniň "toparyň bäş sany" -ny "

28) Duýgudaşlyk ...

29) Iş teklibini saýlamagyndaky hünärmenler üçin zerur zat näme?

30) Adamlar näme üçin üýtgemeýärler (Siobhán mchalele)

31) Duýgularyňyzy nädip kadaňyzy düzedip bilersiňiz? (Nawal Musta M.a.)

32) Size baky töleýän 21 başarnyk (Jeremiahermeýa teo / 赵汉昇)

33) Hakyky erkinlik ...

34) Başgalaryna ynam döretmegiň 12 usuly (Jastin Wraýt bilen)

35) Zehinli işgäriň aýratynlyklary (zehinli dolandyryş instituty)

36) Toparyňyzy höweslendirmek üçin 10 açar

37) Wyciencedan algebrasy (Wladimir Lefebvre)

38) Geljegiň üç aýratyn mümkinçiligi (Dr. Klar W. Graves tarapyndan)

39) Sarsmaz özüne ynam döretmek üçin hereketler (Suren Samarhýan tarapyndan)

40)

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.

Gorkuz

grafiklerBaradaky

VUCA

Korrelýasiýa görnüşi	Çyzykly (Pearson) Çyzykly (Pearson) Çyzykly däl (Naýza)
Korrelýasiýa koeffisiýentiniň möhüm bahasy	Adaty paýlanyş, William Sealyom tarapyndan (talyp) Adaty paýlanyş, William Sealyom tarapyndan (talyp) Adaty däl paýlanma, naýza bilen	Diňe netijeleri görkeziň > r = 0.0294

Paýlamak	Kadaly däl	Kadaly däl	Kadaly däl	Adaty	Adaty	Adaty	Adaty	Adaty
Allhli soraglar Allhli soraglar Iň uly gorkym
Iň uly gorkym
Answer 1	-	Gowşak oňyn 0.0470	Gowşak oňyn 0.0208	Gowşak negatiw -0.0222	Gowşak oňyn 0.0988	Gowşak oňyn 0.0351	Gowşak negatiw -0.0105	Gowşak negatiw -0.1493
Answer 2	-	Gowşak oňyn 0.0184	Gowşak oňyn 0.0034	Gowşak negatiw -0.0363	Gowşak oňyn 0.0606	Gowşak oňyn 0.0481	Gowşak oňyn 0.0099	Gowşak negatiw -0.0986
Answer 3	-	Gowşak negatiw -0.0037	Gowşak oňyn 0.0012	Gowşak negatiw -0.0421	Gowşak negatiw -0.0478	Gowşak oňyn 0.0448	Gowşak oňyn 0.0768	Gowşak negatiw -0.0234
Answer 4	-	Gowşak oňyn 0.0403	Gowşak oňyn 0.0299	Gowşak negatiw -0.0253	Gowşak oňyn 0.0197	Gowşak oňyn 0.0342	Gowşak oňyn 0.0234	Gowşak negatiw -0.0984
Answer 5	-	Gowşak oňyn 0.0218	Gowşak oňyn 0.1266	Gowşak oňyn 0.0062	Gowşak oňyn 0.0818	Gowşak oňyn 0.0011	Gowşak negatiw -0.0115	Gowşak negatiw -0.1816
Answer 6	-	Gowşak oňyn 0.0071	Gowşak oňyn 0.0179	Gowşak negatiw -0.0625	Gowşak negatiw -0.0132	Gowşak oňyn 0.0192	Gowşak oňyn 0.0850	Gowşak negatiw -0.0408
Answer 7	-	Gowşak oňyn 0.0142	Gowşak oňyn 0.0456	Gowşak negatiw -0.0690	Gowşak negatiw -0.0382	Gowşak oňyn 0.0460	Gowşak oňyn 0.0733	Gowşak negatiw -0.0517
Answer 8	-	Gowşak oňyn 0.0596	Gowşak oňyn 0.0845	Gowşak negatiw -0.0229	Gowşak oňyn 0.0090	Gowşak oňyn 0.0377	Gowşak oňyn 0.0150	Gowşak negatiw -0.1381
Answer 9	-	Gowşak oňyn 0.0697	Gowşak oňyn 0.1588	Gowşak oňyn 0.0039	Gowşak oňyn 0.0596	Gowşak negatiw -0.0097	Gowşak negatiw -0.0453	Gowşak negatiw -0.1750
Answer 10	-	Gowşak oňyn 0.0727	Gowşak oňyn 0.0598	Gowşak negatiw -0.0109	Gowşak oňyn 0.0194	Gowşak oňyn 0.0414	Gowşak negatiw -0.0073	Gowşak negatiw -0.1315
Answer 11	-	Gowşak oňyn 0.0598	Gowşak oňyn 0.0546	Gowşak negatiw -0.0005	Gowşak oňyn 0.0086	Gowşak oňyn 0.0241	Gowşak oňyn 0.0187	Gowşak negatiw -0.1253
Answer 12	-	Gowşak oňyn 0.0403	Gowşak oňyn 0.0995	Gowşak negatiw -0.0377	Gowşak oňyn 0.0327	Gowşak oňyn 0.0297	Gowşak oňyn 0.0292	Gowşak negatiw -0.1505
Answer 13	-	Gowşak oňyn 0.0729	Gowşak oňyn 0.0969	Gowşak negatiw -0.0355	Gowşak oňyn 0.0227	Gowşak oňyn 0.0343	Gowşak oňyn 0.0170	Gowşak negatiw -0.1576
Answer 14	-	Gowşak oňyn 0.0835	Gowşak oňyn 0.0874	Gowşak negatiw -0.0024	Gowşak negatiw -0.0187	Gowşak oňyn 0.0042	Gowşak oňyn 0.0114	Gowşak negatiw -0.1122
Answer 15	-	Gowşak oňyn 0.0552	Gowşak oňyn 0.1238	Gowşak negatiw -0.0270	Gowşak oňyn 0.0094	Gowşak negatiw -0.0183	Gowşak oňyn 0.0271	Gowşak negatiw -0.1186
Answer 16	-	Gowşak oňyn 0.0645	Gowşak oňyn 0.0295	Gowşak negatiw -0.0309	Gowşak negatiw -0.0488	Gowşak oňyn 0.0645	Gowşak oňyn 0.0190	Gowşak negatiw -0.0668

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

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

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

2023.10.13

FearpersonqualitiesprojectorganizationalstructureRACIresponsibilitymatrixCritical ChainProject Managementfocus factorJiraempathyleadersbossGermanyChinaPolicyUkraineRussiawarvolatilityuncertaintycomplexityambiguityVUCArelocatejobproblemcountryreasongive upobjectivekeyresultmathematicalpsychologyMBTIHR metricsstandardDEIcorrelationriskscoringmodelGame TheoryPrisoner's Dilemma

Waleri Kosenko

Önümiň eýesi SaaS SDTEST®

Waleriý 1993-nji ýylda sosial pedagog-psiholog hökmünde saýlandy we şondan soň bilimini taslamany dolandyrmakda ulandy.
Waleri 2013-nji ýylda magistr derejesini we taslama we programma menejeri derejesini aldy. Magistr programmasynyň dowamynda Taslamanyň mol kartasy (GPM Doýçe Gesellschaft für Projektmanagement e. V.) we Spiral Dynamics bilen tanyşdy.
Waleriý V.U.C.A.-nyň näbelliligini öwrenmegiň awtory. Psihologiýada Spiral Dynamics we matematiki statistika we 38 halkara pikir soralyşygy ulanmak düşünjesi.

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