Нүүр хуудас/Багана/Mathematical Psychology

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) Сүүлийн сард ажилтнуудтай холбоотой ажилтнуудын үйл ажиллагаа (Тийм / Үгүй)

2) Сүүлийн сард ажилтнуудтай холбоотой компаниудын үйл ажиллагаа (баримт%)

3) Аймаг

4) Миний улс орны хамгийн том бэрхшээлүүд

5) Амжилтанд хүрсэн багуудыг барихдаа ямар чанар, чадварыг ашигладаг вэ?

6) Гүүгл: Багийн үр нөлөөнд нөлөөлдөг хүчин зүйлүүд

7) Ажлын байр хайгчдын гол тэргүүлэх чиглэлүүд

8) Дарга нь агуу удирдагч юу болгодог вэ?

9) Хүмүүс ажил дээрээ амжилтанд хүргэдэг зүйл юу вэ?

10) Алсаас ажиллахад бага цалин авахад бэлэн үү?

11) АМЬДРАЛЫГ ХЭРЭГЛЭХ ВЭ?

12) АВТОМАШИНГИЙН АЖИЛЛАГАА

13) Амьдрал дахь нас

14) АМЬДРАЛЫН АЖИЛЛАГАА

15) Хүмүүс яагаад бууж өгдөг шалтгаан (Анна амин чухал)

16) Итгэх (#WVS)

17) Оксфордын аз жаргал судалгаа

18) Сэтгэлзүйн сайн сайхан байдал

19) Таны дараагийн хамгийн сонирхолтой боломж хаана байх вэ?

20) Сэтгэцийн эрүүл мэндээ харж үзэхийн тулд энэ долоо хоногт та юу хийх вэ?

21) Би өнгөрсөн, одоо, одоо, ирээдүйн талаар бодож байна

22) Meryitocation

23) Хиймэл оюун ухаан ба соёл иргэншлийн төгсгөл

24) Хүмүүс яагаад хойшлодог вэ?

25) Өөртөө итгэх итгэлийг бий болгох жендэрийн ялгаа (ifd allensbach)

26) Xing.com соёлын үнэлгээ

27) Патрик Ленсиони "багийн таван дисфакцууд"

28) Эмпати бол ...

29) Энэ мэргэжилтэн ажлын саналыг сонгоход юу зайлшгүй шаардлагатай вэ?

30) Хүмүүс яагаад өөрчлөлтийг эсэргүүцдэг (Siobhán mchale)

31) Та сэтгэл хөдлөлөө яаж зохицуулдаг вэ? (Навал Мустафа м.а.

32) 21 Таныг үүрд төлдөг 21 ур чадвар (Жеремиагийн Тео / 赵汉昇)

33) Бодит эрх чөлөө бол ...

34) Бусадтай итгэх 12 арга (Жастин Райтаар)

35) Авьяаслаг ажилтны шинж чанар (авъяас чадварын хүрээлэн гэх мэт)

36) Багаа өдөөх 10 товчлуурууд

37) Ухамсрын алгебр (Владимир Лефебр)

38) Ирээдүйн гурван ялгаатай боломж (Др. Клэр В. Грейвс)

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.

Аймаг

график Хамаарал

VUCA

Корреляцийн коэффициент нь чухал үнэ цэнэ

Ердийн хуваарилалт, Уильям далайн эргэлт (оюутан) r = 0.0331

Энгийн бус хуваарилалт, Spearman r = 0.0013

Зөвхөн үр дүнг харуул > r = 0.0331

Хувиарилалт	Энзлийн биш	Энзлийн биш	Энзлийн биш	Хэвийн байдал	Хэвийн байдал	Хэвийн байдал	Хэвийн байдал	Хэвийн байдал
Бүх асуулт Бүх асуулт Миний хамгийн том айдас бол
Миний хамгийн том айдас бол
Answer 1	-	Сул эерэг 0.0563	Сул эерэг 0.0317	Сул сул -0.0161	Сул эерэг 0.0907	Сул эерэг 0.0298	Сул сул -0.0126	Сул сул -0.1537
Answer 2	-	Сул эерэг 0.0216	Сул эерэг 0.0002	Сул сул -0.0458	Сул эерэг 0.0654	Сул эерэг 0.0445	Сул эерэг 0.0124	Сул сул -0.0937
Answer 3	-	Сул сул -0.0035	Сул сул -0.0111	Сул сул -0.0421	Сул сул -0.0456	Сул эерэг 0.0466	Сул эерэг 0.0786	Сул сул -0.0201
Answer 4	-	Сул эерэг 0.0435	Сул эерэг 0.0353	Сул сул -0.0181	Сул эерэг 0.0145	Сул эерэг 0.0301	Сул эерэг 0.0197	Сул сул -0.0979
Answer 5	-	Сул эерэг 0.0299	Сул эерэг 0.1279	Сул эерэг 0.0136	Сул эерэг 0.0730	Сул сул -0.0007	Сул сул -0.0207	Сул сул -0.1746
Answer 6	-	Сул сул -0.0004	Сул эерэг 0.0082	Сул сул -0.0629	Сул сул -0.0078	Сул эерэг 0.0193	Сул эерэг 0.0830	Сул сул -0.0318
Answer 7	-	Сул эерэг 0.0122	Сул эерэг 0.0381	Сул сул -0.0686	Сул сул -0.0242	Сул эерэг 0.0471	Сул эерэг 0.0636	Сул сул -0.0513
Answer 8	-	Сул эерэг 0.0698	Сул эерэг 0.0849	Сул сул -0.0321	Сул эерэг 0.0146	Сул эерэг 0.0345	Сул эерэг 0.0130	Сул сул -0.1368
Answer 9	-	Сул эерэг 0.0665	Сул эерэг 0.1674	Сул эерэг 0.0092	Сул эерэг 0.0691	Сул сул -0.0128	Сул сул -0.0528	Сул сул -0.1812
Answer 10	-	Сул эерэг 0.0778	Сул эерэг 0.0755	Сул сул -0.0180	Сул эерэг 0.0231	Сул эерэг 0.0346	Сул сул -0.0146	Сул сул -0.1298
Answer 11	-	Сул эерэг 0.0584	Сул эерэг 0.0524	Сул сул -0.0096	Сул эерэг 0.0081	Сул эерэг 0.0199	Сул эерэг 0.0318	Сул сул -0.1197
Answer 12	-	Сул эерэг 0.0380	Сул эерэг 0.1042	Сул сул -0.0352	Сул эерэг 0.0357	Сул эерэг 0.0254	Сул эерэг 0.0286	Сул сул -0.1515
Answer 13	-	Сул эерэг 0.0644	Сул эерэг 0.1057	Сул сул -0.0448	Сул эерэг 0.0268	Сул эерэг 0.0416	Сул эерэг 0.0169	Сул сул -0.1600
Answer 14	-	Сул эерэг 0.0717	Сул эерэг 0.1026	Сул сул -0.0006	Сул сул -0.0089	Сул сул -0.0012	Сул эерэг 0.0080	Сул сул -0.1168
Answer 15	-	Сул эерэг 0.0549	Сул эерэг 0.1375	Сул сул -0.0420	Сул эерэг 0.0178	Сул сул -0.0160	Сул эерэг 0.0216	Сул сул -0.1180
Answer 16	-	Сул эерэг 0.0591	Сул эерэг 0.0273	Сул сул -0.0386	Сул сул -0.0399	Сул эерэг 0.0653	Сул эерэг 0.0282	Сул сул -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

VALERII KOSENKO

Бүтээгдэхүүний эзэн SAAS POTE PONES SDTEST®

VALERII нь 1993 онд Нийгмийн хөгжлийн бэрхшээлтэй байсан бөгөөд 1993 онд нийгмийн хөгжлийн бэрхшээлтэй байсан бөгөөд Төслийн менежментийн мэдлэгээ хэрэглэснээс хойш.
WALERII нь магистрын зэрэг, төсөл, хөтөлбөр, хөтөлбөрийн менежерийг олж авсан бөгөөд энэ нь төслийн хөтөлбөр, Projectmap-тэй танилцуулсан.
Валерии нь янз бүрийн спираль динамик тестийг авч, өөрийн мэдлэг, туршлагыг ашигласан бөгөөд энэ нь SDTEST-ийн одоогийн хувилбарыг дасан зохицоход ашигласан.
Валери бол V.U.C.C.A-ийн тодорхой бус байдлыг судлах зохиогч юм. Спираль динамик, математик статистикийг сэтгэцийн санал, 20 гаруй олон улсын санал асуулга.

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