How to Solve It
Claude conversation with 4 messages
You
Brainstorming Dimension time cost model C-K theory Lateral thinking Morphological analysis Nine windows Systems theory Trial and error Systematic inventive thinking SCAMPER Laws of technical systems evolution, outlining trends of technical evolution TRIZ How to Solve It (1945)by George Pólya, responda de forma curta e bem analisada, qual desses metodos e o melhor e explique em poucas palavras cada um deles
Claude
Métodos de Resolução de Problemas
Resumo rápido de cada um
| Método | Essência |
|---|---|
| Brainstorming | Geração livre de ideias em grupo, sem julgamento |
| Dimension Time Cost Model | Analisa problema em 3 eixos: dimensão, tempo e custo |
| C-K Theory | Separa "conceitos" (desconhecido) de "conhecimento" (estabelecido) para expandir o design |
| Lateral Thinking | Quebra padrões mentais para chegar a soluções não-óbvias (De Bono) |
| Morphological Analysis | Cria matriz de combinações entre parâmetros do problema |
| Nine Windows | Analisa o sistema em 9 perspectivas: 3 níveis × 3 tempos |
| Systems Theory | Vê o problema como parte de um sistema maior com interdependências |
| Trial and Error | Testa soluções até uma funcionar — empírico puro |
| SIT | Versão simplificada do TRIZ com 5 ferramentas práticas |
| SCAMPER | Checklist criativo: Substituir, Combinar, Adaptar, Modificar, etc. |
| Laws of Technical Evolution | Prevê para onde um sistema técnico vai evoluir (8 tendências) |
| TRIZ | Sistema baseado em 400k patentes; identifica contradições e as resolve com princípios inventivos |
| How to Solve It (Pólya) | 4 passos matemáticos: entender → planejar → executar → revisar |
🏆 O melhor? TRIZ
Não por ser o mais simples, mas por ser o mais completo e fundamentado empiricamente. Ele foi construído a partir da análise de centenas de milhares de patentes reais, identifica a contradição no coração do problema e oferece princípios inventivos testados para resolvê-la.
É o único método que diagnostica, estrutura e resolve — sem depender de sorte criativa ou intuição.
Porém: para problemas matemáticos, Pólya é imbatível. Para inovação rápida de produto, SIT ou SCAMPER são mais práticos. TRIZ tem curva de aprendizado alta.
Regra geral: use o método certo para o problema certo — TRIZ não é um martelo para todos os pregos.
You
detalhe sobre os melhores que voce escolheu
Claude
Detalhamento dos Métodos de Elite
1. 🥇 TRIZ
Genrich Altshuller — URSS, 1946
Altshuller analisou +400.000 patentes e descobriu que toda inovação real resolve uma contradição. O sistema tem:
- 40 Princípios Inventivos — soluções universais mapeadas
- Matriz de Contradições — cruza o parâmetro que você quer melhorar com o que vai piorar
- ARIZ — algoritmo para problemas extremamente complexos
- Idealidade — todo sistema evolui em direção a fazer sua função sem existir fisicamente
Exemplo: Lâmina de barbear que precisa ser afiada (corta bem) mas não cortar a pele (segura). TRIZ identifica essa contradição e aponta princípios como segmentação ou mudança de fase — originando as lâminas múltiplas e o gel lubrificante.
Fraqueza: curva de aprendizado de meses. Não é para uso casual.
2. 🥈 How to Solve It — Pólya
George Pólya — 1945
Simples, mas profundamente estruturado. Funciona para qualquer problema bem definido.
Os 4 passos:
- Entenda o problema — Quais são os dados? O que é desconhecido? Você consegue desenhar?
- Faça um plano — Já viu algo parecido? Pode resolver um caso particular primeiro?
- Execute o plano — Cada passo é verificável?
- Revise — O resultado faz sentido? Pode generalizar?
Pólya ensina a pensar sobre o pensamento. É metacognição aplicada.
Fraqueza: funciona melhor em problemas lógicos/matemáticos. Em problemas abertos e criativos, perde força.
3. 🥉 SIT — Systematic Inventive Thinking
Derivado do TRIZ, Israel, anos 90
Pegou o TRIZ e destilou em 5 ferramentas práticas para inovação de produto:
| Ferramenta | O que faz |
|---|---|
| Subtração | Remove componente essencial e reimagina o sistema |
| Multiplicação | Duplica um componente com variação |
| Divisão | Divide um componente e o reposiciona |
| Unificação de tarefas | Um componente assume função de outro |
| Quebra de simetria | Torna assimétrico o que era simétrico |
Exemplo clássico: Televisão sem controle remoto → obriga a pensar onde o controle está embutido → surge a ideia de controle no próprio aparelho, no celular, por voz.
Força: muito mais rápido que TRIZ. Usado intensamente em design e marketing de produto.
4. SCAMPER
Bob Eberle — baseado em Osborn
Um checklist criativo para transformar algo que já existe:
| Letra | Ação |
|---|---|
| S — Substitute | O que pode ser substituído? |
| C — Combine | O que pode ser combinado? |
| A — Adapt | O que pode ser adaptado de outro contexto? |
| M — Modify/Magnify | O que pode ser modificado ou ampliado? |
| P — Put to other uses | Pode ter outro uso? |
| E — Eliminate | O que pode ser removido? |
| R — Reverse/Rearrange | O que pode ser invertido ou reordenado? |
Simples demais para ser ignorado. O Post-it nasceu de um adesivo fraco (falha) reaproveitado — puro SCAMPER na prática.
Como usar os quatro juntos
Problema novo e complexo? → TRIZ
Problema lógico e definido? → Pólya
Inovar produto existente? → SIT
Sessão criativa rápida? → SCAMPER
A diferença entre amador e especialista em inovação é saber qual ferramenta sacar para cada tipo de problema.
TRIZ
TRIZ (; Russian: теория решения изобретательских задач, romanized: teoriya resheniya izobretatelskikh zadach, lit. 'theory of inventive problem solving') is a methodology which combines an organized, systematic method of problem-solving with analysis and forecasting techniques derived from the study of patterns of invention in global patent literature. The development and improvement of products and technologies in accordance with TRIZ are guided by the laws of technical systems evolution.1 2 In English, TRIZ is typically rendered as the theory of inventive problem solving.3 4
The development of TRIZ, led by Soviet inventor and science-fiction author Genrich Altshuller and his colleagues, began in 1946. TRIZ developed from a foundation of research into hundreds of thousands of inventions in many fields to produce an approach which defines patterns in inventive solutions and the characteristics of the problems which these inventions have overcome.5 The research produced three findings:
- Problems and solutions are repeated across industries and sciences.
- Patterns of technical evolution are replicated in industries and sciences.
- The innovations have scientific effects outside the field in which they were developed.
TRIZ applies these findings to create and improve products, services, and systems.6
History
TRIZ was developed by the Soviet inventor and science-fiction writer Genrich Altshuller and his associates. Altshuller began developing TRIZ in 1946 while working in the inventions inspection department of the Caspian Sea flotilla of the Soviet Navy. His role involved evaluating invention proposals, refining and documenting them, and preparing patent applications. Through this work, Altshuller recognised that many technical problems require inventive solutions because improving one parameter often leads to the deterioration of another, a situation he termed a technical contradiction.
Altshuller's work on what later became TRIZ was interrupted in 1950 by his arrest and a 25-year sentence to the Vorkuta Gulag. The arrest was partially triggered by letters that he and Refael Shapiro sent to Stalin, government ministers, and newspapers, criticising Soviet policy decisions they considered erroneous.7 Altshuller and Shapiro were released during the Khrushchev Thaw following Stalin’s death in 1953,8 and subsequently returned to Baku.
TRIZ flowchart
The first academic paper on TRIZ, On the psychology of inventive creation, was published in 1956 in the journal Issues in Psychology.9
By observing skilled inventors at work, Altshuller identified recurring patterns of creative thinking, which he used to develop a set of problem-solving tools and techniques. These included Smart Little People and Thinking in Time and Scale (also known as the Screens of Talented Thought).10
In 1986, Altshuller shifted his focus from technical problem-solving to the development of individual creativity. He adapted TRIZ for use by children, and this version was tested in several schools.11 Following the end of the Cold War, emigrants from the former Soviet Union contributed to the international dissemination of TRIZ.12
Basic principles
The TRIZ method 40 principles of invention rendered schematically, stacked vertically in four-column, within single A3 paper sheet
TRIZ claims that by studying an individual parameter that is causing a problem (e.g., the mass of an object needs to be reduced), and the other parameters with which it conflicts (e.g., the lower mass would require thinner material, which is more likely to undergo catastrophic failure), solutions can be created. This is actually the simplification of some fact. Namely, the structured contents of each of the cells within the contradiction matrix, (i.e. cells fulfilled with ordered principles and identified by their order numbers) - the principles of inventions have been chosen, due to realized necessary statistical extensive studies.
Contradiction matrix
The 40 principles of invention are a suite of ideas that purport to aid in solving hard technical problems. The principles are based on TRIZ. One tool which evolved as an extension of TRIZ is a contradiction matrix, a structured and systematic representation of basic engineering parameters of objects, or systems, such as mass, length and manufacturing tolerances.13 The ideal final result (IFR) is the ultimate solution of a problem when the desired result is achieved by itself.14 Studies led by Altshuller led to this approach: according to Altshuller, every technical problem that requires a solution can be categorized in terms of what he called its main technical contradiction.
How to solve it - book
How to Solve It (1945) is a small volume by mathematician George Pólya, describing methods of problem solving.1
This book has remained in print continually since 1945.
Four principles
How to Solve It suggests the following steps when solving a mathematical problem:
- First, you have to understand the problem.2
- After understanding, make a plan.3
- Carry out the plan.4
- Look back on your work.5 How could it be better?
If this technique fails, Pólya advises:6 "If you cannot solve the proposed problem, try to solve first some related problem. Could you imagine a more accessible related problem?"
First principle: Understand the problem
"Understand the problem" is often neglected as being obvious and is not even mentioned in many mathematics classes. Yet students are often stymied in their efforts to solve it, simply because they don't understand it fully, or even in part. In order to remedy this oversight, Pólya taught teachers how to prompt each student with appropriate questions,7 depending on the situation, such as:
- What are you asked to find or show?8
- Can you restate the problem in your own words?
- Can you think of a picture or a diagram that might help you understand the problem?
- Is there enough information to enable you to find a solution?
- Do you understand all the words used in stating the problem?
- Do you need to ask a question to get the answer?
The teacher is to select the question with the appropriate level of difficulty for each student to ascertain if each student understands at their own level, moving up or down the list to prompt each student, until each one can respond with something constructive.
Second principle: Devise a plan
Pólya mentions that there are many reasonable ways to solve problems.3 The skill at choosing an appropriate strategy is best learned by solving many problems. You will find choosing a strategy increasingly easy. A partial list of strategies is included:
- Guess and check 9
- Make an orderly list 10
- Eliminate possibilities 11
- Use symmetry 12
- Consider special cases 13
- Use direct reasoning
- Solve an equation 14
Also suggested:
- Look for a pattern 15
- Draw a picture 16
- Solve a simpler problem 17
- Use a model 18
- Work backward 19
- Use a formula 20
- Be creative 21
- Applying these rules to devise a plan takes your own skill and judgement.22
Pólya lays a big emphasis on the teachers' behavior. A teacher should support students with devising their own plan with a question method that goes from the most general questions to more particular questions, with the goal that the last step to having a plan is made by the student. He maintains that just showing students a plan, no matter how good it is, does not help them.
Third principle: Carry out the plan
This step is usually easier than devising the plan.23 In general, all you need is care and patience, given that you have the necessary skills. Persist with the plan that you have chosen. If it continues not to work, discard it and choose another. Don't be misled; this is how mathematics is done, even by professionals. 3
Fourth principle: Review/extend
Pólya mentions that much can be gained by taking the time to reflect and look back at what you have done, what worked and what did not, and with thinking about other problems where this could be useful.24 25 Doing this will enable you to predict what strategy to use to solve future problems, if these relate to the original problem.
Heuristics
The book contains a dictionary-style set of heuristics, many of which have to do with generating a more accessible problem. For example:
| Heuristic | Informal Description | Formal analogue |
|---|---|---|
| Analogy | Can you find a problem analogous to your problem and solve that? | Map |
| Auxiliary Elements | Can you add some new element to your problem to get closer to a solution? | Extension |
| Generalization | Can you find a problem more general than your problem? | Generalization |
| Induction | Can you solve your problem by deriving a generalization from some examples? | Induction |
| Variation of the Problem | Can you vary or change your problem to create a new problem (or set of problems) whose solution(s) will help you solve your original problem? | Search |
| Auxiliary Problem | Can you find a subproblem or side problem whose solution will help you solve your problem? | Subgoal |
| Here is a problem related to yours and solved before | Can you find a problem related to yours that has already been solved and use that to solve your problem? | Pattern recognition Pattern matching Reduction |
| Specialization | Can you find a problem more specialized? | Specialization |
| Decomposing and Recombining | Can you decompose the problem and "recombine its elements in some new manner"? | Divide and conquer |
| Working backward | Can you start with the goal and work backwards to something you already know? | Backward chaining |
| Draw a Figure | Can you draw a picture of the problem? | Diagrammatic Reasoning 26 |
Influence
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The book has been translated into several languages and has sold over a million copies, and has been continuously in print since its first publication.
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Marvin Minsky said in his paper Steps Toward Artificial Intelligence that "everyone should know the work of George Pólya on how to solve problems." 27
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Pólya's book has had a large influence on mathematics textbooks as evidenced by the bibliographies for mathematics education.28
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Russian inventor Genrich Altshuller developed an elaborate set of methods for problem solving known as TRIZ, which in many aspects reproduces or parallels Pólya's work.
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How to Solve it by Computer is a computer science book by R. G. Dromey.29 It was inspired by Pólya's work.
Footnotes
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Pólya, George (1945). How to Solve It. Princeton University Press. ISBN 0-691-08097-6. ↩ ↩2
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Pólya 1957 pp. 6–8 ↩ ↩2
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Pólya 1957 pp. 8–12 ↩ ↩2 ↩3 ↩4
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Pólya 1957 pp. 12–14 ↩ ↩2
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Pólya 1957 pp. 14–15 ↩ ↩2
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Pólya 1957 p. 114 ↩ ↩2
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Pólya 1957 p. 33 ↩ ↩2
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Pólya 1957 p. 214 ↩ ↩2
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Pólya 1957 p. 99 ↩ ↩2
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Pólya 1957 p. 2 ↩ ↩2
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Pólya 1957 p. 94 ↩ ↩2
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Pólya 1957 p. 199 ↩ ↩2
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Pólya 1957 p. 190 ↩ ↩2
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Pólya 1957 p. 172 Pólya advises teachers that asking students to immerse themselves in routine operations only, instead of enhancing their imaginative / judicious side is inexcusable. ↩ ↩2
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Pólya 1957 p. 108 ↩
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Pólya 1957 pp. 103–108 ↩
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Pólya 1957 p. 114 Pólya notes that 'human superiority consists in going around an obstacle that cannot be overcome directly' ↩
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Pólya 1957 p. 105, pp. 29–32, for example, Pólya discusses the problem of water flowing into a cone as an example of what is required to visualize the problem, using a figure. ↩
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Pólya 1957 p. 105, p. 225 ↩
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Pólya 1957 pp. 141–148. Pólya describes the method of analysis ↩
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Pólya 1957 p. 172 (Pólya advises that this requires that the student have the patience to wait until the bright idea appears (subconsciously).) ↩
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Pólya 1957 pp. 148–149. In the dictionary entry 'Pedantry & mastery' Pólya cautions pedants to 'always use your own brains first' ↩
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Pólya 1957 p. 35 ↩
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Pólya 1957 p. 36 ↩
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Pólya 1957 pp. 14–19 ↩
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"Diagrammatic Reasoning site". Archived from the original on 2009-06-19. Retrieved 2006-02-27. ↩
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Minsky, Marvin. "Steps Toward Artificial Intelligence". Archived from the original on 2008-12-31. Retrieved 2006-05-17.. ↩
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Schoenfeld, Alan H. (1992). D. Grouws (ed.). "Learning to think mathematically: Problem solving, metacognition, and sense-making in mathematics" (PDF). Handbook for Research on Mathematics Teaching and Learning. New York: MacMillan: 334–370. Archived from the original (PDF) on 2013-12-03. Retrieved 2013-11-27.. ↩
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Dromey, R. G. (1982). How to Solve it by Computer. Prentice-Hall International. ISBN 978-0-13-434001-2. ↩