PREMISSA No século XIX, ocorreram transformações impulsionadas pela emergência de novas fontes energéticas (água e petróleo), por novos ramos industriais e pela alteração profunda nos processos produtivos, com a introdução de novas máquinas e equipamentos. Depois de 300 anos de exploração por parte das nações europeias, iniciou -se, principalmente nas colônias latino-americanas, um processo intenso de lutas pela independência. É no século XIX, já com a consolidação do sistema capitalista na Europa, que se encontra a herança intelectual mais próxima da (...) qual surgirá a Sociologia como ciência particular. No início desse século, as ideias do Conde de Saint-Simon (1760-1825), de Georg Wilhelm Friedrich Hegel (1770-1831), de David Ricardo (1772-1823) e de Charles Darwin (1809-1882), entre outros, foram o elo para que Alexis de Tocqueville (1805-1859), Auguste Comte (1798-1857), Karl Marx (1818 -1883) e Herbert Spencer (1820-1903), entre outros, desenvolvessem reflexões sobre a sociedade de seu tempo. Auguste Comte e Karl Marx foram os pensadores que lançaram as bases do pensamento sociológico e de duas grandes tradições – a positivista e a socialista – que muito influenciaram o desenvolvimento da Sociologia no Brasil. 1 AUGUSTE COMTE E A TRADIÇÃO POSITIVISTA Isidore Auguste Marie François Xavier Comte nasceu em Montpellier, na França, em 19 de janeiro de 1798. Com 16 anos de idade, ingressou na Escola Politécnica de Paris, fato que teria significativa influência na orientação posterior de seu pensamento. De 1817 a 1824, foi secretário do Conde de Saint-Simon. Comte declarou que, com Saint -Simon, aprendeu muitas coisas que jamais encontraria nos livros e que, no pouco tempo em que conviveu com o conde, fez mais progressos do que faria em muitos anos, se estivesse sozinho. Toda a obra de Comte está permeada pelos acontecimentos que ocorreram após a Revolução Francesa de 1789. Ele defendeu parte dos princípios revolucionários e criticou a restauração da monarquia, preocupando-se fundamentalmente em reorganizar a sociedade, que, no seu entender, estava em ebulição e mergulhada no caos. Para Comte, a desordem e a anarquia imperavam em virtude da confusão de princípios (metafísicos e teológicos), que não se adequavam à sociedade industrial em expansão. Era, portanto, necessário superar esse estado de coisas, usando a razão como fundamento da nova sociedade. Propôs, então, a mudança da sociedade por meio da reforma intelectual plena das pessoas. De acordo com o pensador, com a modificação do pensamento humano, por meio do método científico, que ele chamava de “filosofia positiva”, haveria uma reforma das instituições. Com a proposta do estudo da sociedade por meio da análise de seus processos e estruturas, e da reforma prática das instituições, Comte criou uma nova ciência, à qual deu o nome de “física social”, passando a chamá-la posteriormente de Sociologia. A Sociologia representava, para Comte, o coroamento da evolução do conhecimento, mediante o emprego de métodos utilizados por outras ciências, que buscavam conhecer os fenômenos constantes e repetitivos da natureza: a observação, a experimentação, a comparação e a classificação. De acordo com esse pensador, a Sociologia, como as ciências naturais, deve sempre procurar a reconciliação entre os aspectos estáticos e os dinâmicos do mundo natural ou, no caso da sociedade humana, entre a ordem e o progresso. O lema da “filosofia positiva” proposta por Comte era “conhecer para prever, prever para prover”, ou seja, o conhecimento é necessário para fazer previsões e também para solucionar possíveis problemas. A influência de Comte no desenvolvimento da Sociologia foi marcante, sobretudo, na escola francesa, evidenciando-se em Émile Durkheim e seus contemporâneos e seguidores. Seu pensamento esteve presente em muitas das tentativas de criar tipologias para explicar a sociedade. Suas principais obras são: Curso de filosofia positiva (1830-1842), Discurso sobre o espírito positivo (1848), Catecismo positivista (1852) e Sistema de política positiva (1854). Para concluirmos, Comte explanava que para a superação da anarquia reinante na nova sociedade industrial, a filosofia positivista defendia a subordinação do progresso à ordem. O mesmo era contra o retorno de Luís XVIII ao trono: em sua concepção, a sociedade industrial que emergia requeria um governo fundado na razão. 2 A TRADIÇÃO SOCIALISTA: KARL MARX E FRIEDRICH ENGELS Karl Heinrich Marx nasceu em Tréveris, na antiga Prússia, hoje Alemanha, em 1818 e, em 1830, ingressou no Liceu Friedrich Wilhelm, nessa mesma cidade. Anos depois, foi cursar Direito na Universidade de Bonn, transferindo-se para Berlim em seguida. Pouco a pouco, entretanto, seus interesses migraram para a Filosofia, área na qual defendeu, em 1841, a tese de doutorado A diferença da filosofia da natureza em Demócrito e Epicuro. Sua vida universitária foi marcada pelo debate político e intelectual influenciado pelo pensamento de Ludwig Feuerbach (1804-1872) e, principalmente, pelo de Georg Wilhelm Friedrich Hegel (1770- 1831). Friedrich Engels (1820-1895) nasceu em Barmen (Renânia), na antiga Prússia, hoje Alemanha, filho mais velho de um rico industrial do ramo têxtil. Terminou sua formação secundária em 1837 e a partir de então sua formação intelectual foi por conta própria (autodidata), com alguns cursos universitários esparsos e de curta duração. Desde cedo começou a trabalhar nas empresas de seu pai e foi nessa condição que se deslocou para Bremen por três anos e depois foi enviado pelos pais a Manchester, na Inglaterra, onde trabalhou nas fábricas da família. Engels ficou impressionado com a miséria na qual viviam os trabalhadores das fábricas inglesas. Os dois, Marx e Engels, se encontraram em 1842, quando Marx passou a escrever para A Gazeta Renana, jornal da província de Colônia, do qual Engels era colaborador e mais tarde editor-chefe. O jornal, que criticava o poder prussiano, foi fechado em 1843, e Marx se viu desempregado. Ao perder o emprego, mudou-se para Paris, na França. Ali escreveu, em 1844, os Manuscritos econômico-filosóficos (só publicados em 1932) e, junto com F. Engels, o livro A sagrada família. Por sua vez, F. Engels, em 1844, decidiu voltar para a Alemanha, onde publicou, em 1845, A situação da classe trabalhadora na Inglaterra. Entre 1845 e 1847, Marx exilou-se em Bruxelas, na Bélgica, onde escreveu A ideologia alemã (em parceria com Friedrich Engels) e Miséria da filosofia (1847), obra na qual criticou o filósofo Pierre-Joseph Proudhon (1809-1865). Em 1848, ainda na Bélgica, a parceria com Engels se solidificou ao escreverem juntos o livreto O Manifesto Comunista. Em 1848, Marx foi expulso da Bélgica e retornou a Colônia, na Alemanha (Prússia), sempre pensando na possibilidade de uma mudança estrutural em sua terra natal. Isso, entretanto, não aconteceu e Marx foi expulso da Alemanha em 1849, ano em que migrou para Londres, na Inglaterra, onde permaneceu até o fim da vida. Lá escreveu O 18 Brumário de Luís Bonaparte (1852), sua mais importante obra de reflexão sobre a vida política europeia do século XIX, desenvolveu pesquisas e concluiu seu maior trabalho: O capital: crítica da economia política. O primeiro volume dessa obra foi publicado em 1867; os outros três, em 1885, 1894 e 1905, após a morte de Marx, revisados por F. Engels. 2.1 O contexto histórico e a obra de Marx e Engels Para situar a obra de Marx e Engels, é necessário conhecer um pouco do que acontecia em meados do século XIX. Com as transformações que ocorriam no mundo ocidental, principalmente na esfera da produção industrial, houve um crescimento expressivo no número de trabalhadores industriais urbanos, com uma consequência evidente: precariedade da vida dos operários nas cidades. As condições de trabalho no interior das fábricas eram péssimas. Os empregados eram superexplorados, alimentavam-se mal e trabalhavam em ambientes insalubres. Para enfrentar essa situação e tentar modificá-la, os trabalhadores passaram a se organizar em associações e sindicatos e a promover movimentos de reivindicação. Desenvolveu-se, então, uma discussão das condições sociais, políticas e econômicas para se definirem as possibilidades de intervenção nessa realidade. Desde o início do século XIX, muitos pensadores discutiram essas questões, nas perspectivas socialista e anarquista. Na Inglaterra podem ser citados, entre outros: William Godwin (1756-1836), Thomas Spence (1750-1814), Thomas Paine (1737-1809), Robert Owen (1771-1858) e Thomas Hodgkin (1787-1866). Na França, destacaram-se Étienne Cabet (1788- 1856), Flora Tristan (1803-1844), Charles Fourier (1772-1837) e Pierre-Joseph Proudhon (1809-1865). Marx e Engels levaram em conta esses pensadores, debatendo com alguns contemporâneos e criticando-os. Além disso, incorporaram a tradição da economia clássica inglesa, presente principalmente nas obras de Adam Smith e de David Ricardo. Pode-se dizer, portanto, que Marx e Engels desenvolveram seu trabalho com base na análise crítica da economia política inglesa, do socialismo utópico francês e da filosofia alemã. Esses dois autores não buscavam definir uma ciência específica para estudar a sociedade (como a Sociologia, para Auguste Comte) ou situar seu trabalho em um campo científico particular. Em alguns escritos, Marx afirmou que a História seria a ciência que mais se aproximava de suas preocupações, por abarcar as múltiplas dimensões da sociedade, a qual deveria ser analisada na totalidade, não havendo uma separação rígida entre os aspectos sociais, econômicos, políticos, ideológicos, religiosos, culturais etc. O objetivo de Marx e Engels era estudar criticamente a sociedade capitalista com base em seus princípios constitutivos e em seu desenvolvimento, visando dotar a classe trabalhadora de uma análise política da sociedade de seu tempo. Assim, a tradição socialista nascida da luta dos trabalhadores, muitos anos antes e em situações diferentes, tem como expressão intelectual o pensamento de Karl Marx e Friedrich Engels. Para entender as concepções fundamentais de Marx e Engels é necessário fazer a conexão entre as lutas da classe trabalhadora, suas aspirações e as ideias revolucionárias que estavam presentes no século XIX na Europa. Para eles, o conhecimento científico da realidade só tem sentido quando visa à transformação dessa mesma realidade. A separação entre teoria e prática não é discutida, pois a “verdade histórica” não é algo abstrato e que se define teoricamente; sua verificação está na prática. Apesar de haver algumas diferenças em seus escritos, os elementos essenciais do pensamento de Marx e Engels podem ser assim sintetizados: • historicidade das ações humanas – crítica ao idealismo alemão; • divisão social do trabalho e o surgimento das classes sociais – a luta de classes; • o fetichismo da mercadoria e o processo de alienação; • crítica à economia política e ao capitalismo; • transformação social e revolução; • utopia – sociedade comunista. A obra desses dois autores é muito vasta e não ficou vinculada estritamente aos movimentos sociais dos trabalhadores. Pouco a pouco foi introduzida nas universidades como parte do estudo em diferentes áreas do conhecimento. Estudiosos de Filosofia, Sociologia, Ciência Política, Economia, História e Geografia, entre outras áreas, foram influenciados por ela. Na Sociologia, como afirma Irving M. Zeitlin, no livro Ideología y teoría sociológica, tanto Max Weber quanto Émile Durkheim fizeram, em suas obras, um debate com as ideias de Karl Marx. Pelas análises da sociedade capitalista de seu tempo e a repercussão que tiveram em todo o mundo, principalmente no século XX, nos movimentos sociais e nas universidades, Marx e Engels são considerados autores clássicos da Sociologia. No campo dessa disciplina, porém, o pensamento deles ficou um pouco restrito, pois perdeu aquela relação entre teoria e prática (práxis), ou seja, entre a análise crítica e a prática revolucionária. Essa relação esteve presente, por exemplo, na vida e na obra dos russos Vladimir Ilitch Ulianov, conhecido como Lênin (1870-1924), e Leon D. Bronstein, conhecido como Trotsky (1879-1940), da alemã Rosa Luxemburgo (1871-1919) e do italiano Antonio Gramsci (1891- 1937), que tiveram significativa influência no movimento operário do século XX. Com base no trabalho de Marx e Engels, muitos autores desenvolveram estudos acadêmicos em vários campos do conhecimento. Podemos citar, por exemplo, Georg Lukács (1885-1971), Theodor Adorno (1903-1969), Walter Benjamin (1892-1940), Henri Lefebvre (1901-1991), Lucien Goldmanm (1913 -1970), Louis Althusser (1918 -1990), Nikos Poulantzas (1936-1979), Edward P. Thompson (1924-1993) e Eric Hobsbawm (1917 -2012). O pensamento de Marx e Engels continua, assim, presente em todo o mundo, com múltiplas tendências e variações, sempre gerando controvérsias. REFERENCIAL TEÓRICO GEMKOW, H.; PSUA, I. M. L. Marx e Engels: Vida e Obra. São Paulo: Alfa e Ômega, 1984. 232 pp. GIANOTTI, J. A. Comte. São Paulo: Abril Cultural, 1978. 318 pp. (Col. Os Pensadores) KONDER, L. Marx: vida e obra. 7ª ed. São Paulo: Paz e Terra, 2007. 154 pp. (Col. Vida e Obra). (shrink)

Antes de entrar cuidadosamente no estudo de cada filósofo, em suas respectivas ordens cronológicas, é necessário dar um panorama geral sobre eles, permitindo, de relance, a localização deles em tempos históricos e a associação de seus nomes com sua teoria ou tema central. l. OS FILÓSOFOS PRÉ-SOCRÁTICOS - No sétimo século antes de Jesus Cristo, nasce o primeiro filósofo grego: Tales de Mileto2 . Ele e os seguintes filósofos jônicos (Anaximandro: Ἀναξίμανδρος: 3 610-546 a.C.) e Anaxímenes: (Άναξιμένης: 586-524 a.C.) tentaram (...) expressar/elucidar o que é a arché, ou constitutivo fundamental do Universo. 4 Também sobressaem as teorias de Pitágoras (Ὁ Πυθαγόρας: 570 a.C.- 495 a.C.), completas de misticismo e Matemática; a de Heráclito (Ἡράκλειτος ὁ Ἐφέσιος: 540-470 a.C.), o filósofo do devir e o de seu oponente, Parmênides (Παρμενίδης: 530-460 a.C.), que elucida a primeira teoria do ser, e para qual é alcunhado como o iniciador da Metafísica. Anaxágoras (Ἀναξαγόρας: 500 a.C.- 428 a.C.) esboça uma teoria sobre o Nous, o espírito divino. Por outro lado, Demócrito (Δημόκριτος: Grécia: 460-370 a.C.) e Empédocles (Ἐμπεδοκλῆς: 490 a.C.-430 a.C.) insistem no materialismo. Em contrapartida, os sofistas (Parmênides, Cálicles (Καλλικλῆς: personagem platônico cuja existência é duvidosa) e Górgias (Γοργίας: 485 a.C.-380 a.C.)) gozam das suas aptidões à dialética, e colocam o relativismo como uma posição filosófica. Sócrates será o inimigo mais temível dessa posição. Este é o começo do movimento filosófico de Atenas, que culmina nos séculos quinto e quarto, tal qual, posteriormente, veremos. 2. O APOGEU GREGO – Sócrates (Σωκράτης: 469 a.C.-399 a.C.), Platão (Πλάτων: 428/427- 348/347 a.C.) e Aristóteles (Ἀριστοτέλης: 384 a.C.-322 a.C.) formam o triunvirato dos grandes filósofos gregos. O primeiro (Sócrates), com seu método "maiêutico" e sua teoria do conceito; o segundo (Platão), com sua teoria das ideias e seu estilo literário (dialogista); e o terceiro (Aristóteles), com a estruturação dos principais ramos filosóficos, como a Lógica, a Metafísica, a Ética, a Psicologia racional e a Política; todos eles elevaram a Filosofia para um posto de primeira ordem. Doravante, todos os filósofos tornam-se credores das contribuições desses gênios. Em certos autores, é clara a influência de Platão ou de Aristóteles. Sendo que, ambos os filósofos, tiveram influência absoluta de Sócrates, uma vez que Platão fora seu discípulo, e Aristóteles discípulo de Platão. A Idade Média, por exemplo, foi toda ela, em sua gênese e desenvolvimento, alicerçada no pensamento e nas ideias platônicas; tal era histórica é caracterizada pela luta em favor de um ou de outro autor; o platonismo tomou precedência nos primeiros séculos do cristianismo; somente após o décimo século Aristóteles foi redescoberto. 3. A FILOSOFIA CRISTÃ MEDIEVAL - Santo Agostinho (354 a.C.-430 a.C.) se destaca, no quinto século, com sua teoria da iluminação e a aplicação da teoria platônica ao Cristianismo. No século XIII, São Tomás de Aquino (1225-1274), sintetiza Aristóteles com o Cristianismo. Os dois autores formam o núcleo da filosofia cristã em seus respectivos séculos. A escolástica teve seu tempo de decadência. Se mencionam, principalmente, dois autores: João Duns Escoto (1266-1308) e Guilherme de Ockham (1285-1347). O primeiro é o "Doutor Sutil ", e o segundo cai em um fideísmo e um nominalismo, para todos os conceitos criticáveis. Em uma segunda parte, tentaremos explicar os respectivos pensamentos dos autores mencionados, e outros que pertencem ao mesmo tempo, antigos e medievais. Naquela época, a Filosofia era puramente realista, aplicada ao mundo e ao homem. Somente na Idade Moderna, a Filosofia assumirá o problema do conhecimento como a base e o começo de todo filosofar. 4. A FILOSOFIA RACIONALISTA (MODERNA) - Na Idade Moderna, sobressai o racionalismo de Descartes (1596-1650) prolongado, então, com Malebranche (1638-1715) (ocasionalismo), Espinosa (1632 -1677) (panteísmo) e Leibniz (1646-1716) (teoria das mônadas). Estamos nos séculos XVII e XVIII. A atenção será focada nas disputas filosóficas da corrente empirista contra a racionalista. 5. A FILOSOFIA EMPIRISTA – O empirismo é florescido, principalmente, na Inglaterra. Francis Bacon (1561-1626), primeiro, e depois Locke (1632-1704) com sua rejeição de ideias inatas, Berkeley (1685-1753) com postura e ideias paradoxais, também idealistas e Hume (1711-1776), com suas famosas críticas contra o princípio da causalidade e o conceito de substância, são os principais autores. 6. KANT E OS IDEALISTAS ALEMÃES - Como a tentativa de sintetizar o racionalismo e empirismo, está a teoria de Kant (1724-1804), no século XVIII. Para o seu gênio seguido pelos três idealistas alemães mais importantes: Fichte (1762-1814) (idealismo subjetivo), Schelling (1775-1854) (idealismo objetivo) e Hegel (1770-1831) (idealismo absoluto). Esses Autores representam o ápice da especulação filosófica. A análise, a profundidade, a complexidade da expressão e o espírito sistemático são as características do gênio alemão idealista. 7. OS FILÓSOFOS DO SÉCULO XIX - Antes de tudo, é necessário mencionar, no século dezenove, aos dois grandes críticos de Hegel, que são Kierkegaard (1813-1855) (precursor do existencialismo) e Marx (1818-1883) (com seu materialismo dialético). O próximo é outro casal: Nietzsche (1844-1900) (teoria do Super-homem) e Schopenhauer (1788-1860) (com seu absoluto pessimismo). Comte (1798-1857) com sua doutrina positivista, completará o quadro desses filósofos. Numa outra oportunidade, vamos desmembrar sobre o pensamento e principais ideias acerca desses autores. 8. OS FILÓSOFOS DO SÉCULO XX - Antes de tudo, há um autor que iluminou a filosofia do século XX: Edmund Husserl (1859-1938), fundador do método fenomenológico. Em seguida, existem dois fluxos que são derivados diretamente de Husserl, a saber, o existencialismo e a axiologia. Dentro da corrente axiológica, estudaremos Scheler (1874-2928). Por outro lado, o existencialismo tem quatro autores principais; dois são alemães: Heidegger (1889-1976) e Jaspers (1883-1969); e os demais são franceses: Sartre (1905-1980) e Marcel (1889-1973). Heidegger insiste em que seu tema tratado em sua filosofia não é a unicidade do homem, mas o ser em geral. Jaspers é famoso por seu conceito de transcendência (Deus). Sartre é um antiteísta sincero, e seu existencialismo é definido como um pensamento que assume todas as consequências da negação de Deus. Em contraste, Gabriel Marcel é um filósofo Católico, que conseguiu uma análise profunda das situações humanas, que aparecem em íntima concordância com as verdades cristãs. Vamos terminar com Russell (1872-1970), autor básico do positivismo lógico. Cronologia de filósofos e suas escolas até nossos dias ➢ Filosofia Antiga - Escola naturalista da Jônia: Tales, Anaximandro e Anaxímenes; - Escola matemática da Itália: Pitágoras e os pitagóricos; - Escola idealista de Eléia: Xenófanes (570-475 a.C.), Parmênides, Zenão (490/85-420 a.C.) e Meliso (h.443); - Escola empirista: Heráclito, Empédocles e Anaxágoras; - Escola atomista de Abdera: Leucipo (h.437) e Demócrito; - Escolas de Atenas: - Sofistas: Protágoras (480-410), Górgias (484-375?); Sócrates, Platão e Aristóteles; - Pirronismo: Pirro (h.365-h.275); - Estoicismo: Zenão de Cítio (359/33-262) e Crisipo (281/77-208); - Epicurismo: Epicuro (341-270); - Nova Academia: Arcesilau (315-241) e Carnéades (214-129); Romanos: Sêneca (4 a.C.-65 d.C.), Marco Aurélio (121-180) e Cícero (106-43). - Escola greco-judia: Fílon de Alexandria (25 a.C.-50 d.C.); - Neoplatonismo: Plotino (204/5-270), Porfirio (h.233-304), Jâmblico (h.250-330) e Proclo (h.411-485). ➢ Filosofia patrística - Apologistas: São Justino (100/10-165), Ireneu de Lyon (h.140-h.l 77) e Atenágoras (fines s. II); - Alexandrinos: São Clemente (h.145/50-215) e Orígenes (h.185-255); - Africanos: Tertuliano (h.160-230), Arnóbio (h.260-h.327) e Lactâncio (nascido h. 250); - Gregos: São Basílio (h.330-379), São Gregório de Nazianzo (330-390), São Gregório de Níssa (330-390) e Pseudo-Dionísio (h.500); - Latinos: São Hilário (h.315-367), Santo Ambrósio (333-397) e Santo Agostinho; - Outros: Claudiano (+h.473), Boécio (480-524), São Isidoro (h.560-633) e Beda (672/3-735). ➢ Filosofia Medieval/Escolástica - Judeus: Isaac Israeli (+h.940), Salomão Ibn Gabirol (h.l020-p.l058) e Maimônides (1135- 1204); - Árabes: Alquindi (h. 796-874), Al-Farabi (870-950), Avicena (980-1037), Algazali (1058- 1111) e Averróis (1126-1198); - Escola palatina: Alcuíno de Iorque (730/5-804), Rábano Mauro (h.784-856), Escoto Erígena (h.810-h.870) e Papa Silvestre II (+1003); - Dialéticos: Santo Anselmo (1033/4-1109) e Pedro Abelardo (1079-1142); - Tradutores: Domingo Gundisalvo (meados s. XII), Gerardo de Cremona (h. 1114-1187); - Enciclopedistas: Teodorico de Chartres (+1155), Hugo de São Vitor (+1141) e Vicente de Beauvais (+1264); - Universidades: Guilherme de Auvergne (1180- 1249) e Sigerio de Brabante (+h.l284); - Dominicanos: São Alberto Magno (1206-1280) e Santo Tomás de Aquino; - Franciscanos: Alexandre de Hales (1170/80-1245), São Boaventura (1217-1274), Roger Bacon (h.1210/14-1292), João Duns Escoto, Raimundo Lulio (1235-1315) e Guilherme de Ockham (h.1285-1349). ➢ Filosofia Moderna - Humanistas Renascentistas: Ficino (1433-1499), Erasmo (1467-1536), Maquiavel (1469- 1527), Thomas More (1480-1535), Juan Luis Vives (1492-1540) e Giordano Bruno (1548- 1600); - Racionalismo: Descartes, Malebranche, Espinosa e Leibniz; - Empiristas: Francis Bacon, Thomas Hobbes (1588-1679), Locke, Berkeley e Hume; - Escola escocesa: Thomas Reid (1710-1796); Iluministas: Voltaire (1694-1778), Condillac (1715-1757), Diderot (1713-1784) e J. J. Rousseau (1712-1778). - Idealismo transcendental: Kant; - Idealismo subjetivo: Fichte; - Idealismo objetivo: Schelling; - Idealismo absoluto: Hegel; - Pessimismo: Schopenhauer; - Ecletismo: Cousin (1792-1867); - Positivismo: A. Comte, J. S. Mill (1806-1873) e H. Spencer (1820-1900); - Socialismo: H. Saint-Simon (1760-1825), Ch. Fourier (1772-1837) e K. Marx; - Vitalismo: Nietzsche e W. Dilthey (1833-1912). ➢ Filosofia Contemporânea - Intucionismo: H. Bergson (1859-1941); - Pragmatismo: Ch. S. Peirce (1839-1914), W. James (1842-1910) e J. Dewey (1859-1952); - Fenomenologia: Husserl, Scheler, N. Hartmann (1882-1950) e M. Merleau-Ponty (1908- 1961); - Existencialismo: Jaspers, Heidegger, Marcel e Sartre; - Atomismo lógico: B. Russell (1872-1970) e L. Wittgenstein (1889-1951); - Positivismo lógico: M. Schlick (1882-1936), R. Carnap (1891-1970 ) e A. J. Ayer (1910- 1990). - Filosofia analítica: J. L. Austin (1911-1960), G. Ryle (1900-1976), W.V.O. Quine (1908- 2000), P. F. Strawson (1919-2003) e H. Putnam (1926-); - Hermenêutica: H. G. Gadamer (1900-2002), P. Ricoeur (1913-2007) e J. Habermas (1929-). - Estruturalismo e pós-estruturalismo: F. de Saussure (1857-1913), C. Lévi-Strauss (1908- 2009) e M. Foucault (1926-1984). - Filosofia pós-moderna: J. F. Lyotard (1924-1999), G. Deleuze (1925-1995), J. Derrida (1930- 2004), R. Rorty (1931-2007) e G. Vattimo (1936-). - Comunitaristas: A. Maclntyre (1929-), Ch. Taylor (1931-). REFERÊNCIAS BIBLIOGRÁFICAS CHAUÍ, M. Iniciação à Filosofia. Vol. Único. 2ª ed. São Paulo: Ática, 2013. 460 p. SANTOS, R. dos. Filosofia: Uma breve introdução. 1ª ed. Pelotas: Dissertativo Incipiens, 2014. 108 p. . Rua do Riachuelo, 303, Centro, Rio de Janeiro, RJ Casa Histórica de Osório CEP: 20230-011 E-mail: [email protected]. (shrink)

In this paper, we argue that several recent ‘wide’ perspectives on cognition (embodied, embedded, extended, enactive, and distributed) are only partially relevant to the study of cognition. While these wide accounts override traditional methodological individualism, the study of cognition has already progressed beyond these proposed perspectives towards building integrated explanations of the mechanisms involved, including not only internal submechanisms but also interactions with others, groups, cognitive artifacts, and their environment. The claim is substantiated with reference to recent developments in the (...) study of “mindreading” and debates on emotions. We claim that the current practice in cognitive (neuro)science has undergone, in effect, a silent mechanistic revolution, and has turned from initial binary oppositions and abstract proposals towards the integration of wide perspectives with the rest of the cognitive (neuro)sciences. (shrink)

In this paper, I argue that computationalism is a progressive research tradition. Its metaphysical assumptions are that nervous systems are computational, and that information processing is necessary for cognition to occur. First, the primary reasons why information processing should explain cognition are reviewed. Then I argue that early formulations of these reasons are outdated. However, by relying on the mechanistic account of physical computation, they can be recast in a compelling way. Next, I contrast two computational models of working memory (...) to show how modeling has progressed over the years. The methodological assumptions of new modeling work are best understood in the mechanistic framework, which is evidenced by the way in which models are empirically validated. Moreover, the methodological and theoretical progress in computational neuroscience vindicates the new mechanistic approach to explanation, which, at the same time, justifies the best practices of computational modeling. Overall, computational modeling is deservedly successful in cognitive science. Its successes are related to deep conceptual connections between cognition and computation. Computationalism is not only here to stay, it becomes stronger every year. (shrink)

The predictive processing account of action, cognition, and perception is one of the most influential approaches to unifying research in cognitive science. However, its promises of grand unification will remain unfulfilled unless the account becomes theoretically robust. In this paper, we focus on empirical commitments of PP, since they are necessary both for its theoretical status to be established and for explanations of individual phenomena to be falsifiable. First, we argue that PP is a varied research tradition, which may employ (...) various kinds of scientific representations, differing in the scope of empirical commitments they entail. Two major perspectives on PP qua cognitive theory may then be distinguished: generalized vs. hierarchical. The first one fails to provide empirical detail, and the latter constrains possible physical implementations. However, we show that even hierarchical PP is insufficiently restrictive to disallow incorrect models and may be adjusted to explain any neurocognitive phenomenon–including non-existent or impossible ones–through flexible adjustments. This renders PP a universal modeling tool with an unrestricted number of degrees of freedom. Therefore, in contrast with declarations of its proponents, it should not be understood as a unifying theoretical perspective, but as a computational framework, possibly informing further theory development in cognitive science. (shrink)

In this paper, we defend a novel, multidimensional account of representational unification, which we distinguish from integration. The dimensions of unity are simplicity, generality and scope, non-monstrosity, and systematization. In our account, unification is a graded property. The account is used to investigate the issue of how research traditions contribute to representational unification, focusing on embodied cognition in cognitive science. Embodied cognition contributes to unification even if it fails to offer a grand unification of cognitive science. The study of this (...) failure shows that unification, contrary to what defenders of mechanistic explanation claim, is an important mechanistic virtue of research traditions. (shrink)

In this paper, the Author reviewed the typical objections against the claim that brains are computers, or, to be more precise, information-processing mechanisms. By showing that practically all the popular objections are based on uncharitable interpretations of the claim, he argues that the claim is likely to be true, relevant to contemporary cognitive science, and non-trivial.

Replicability and reproducibility of computational models has been somewhat understudied by “the replication movement.” In this paper, we draw on methodological studies into the replicability of psychological experiments and on the mechanistic account of explanation to analyze the functions of model replications and model reproductions in computational neuroscience. We contend that model replicability, or independent researchers' ability to obtain the same output using original code and data, and model reproducibility, or independent researchers' ability to recreate a model without original code, (...) serve different functions and fail for different reasons. This means that measures designed to improve model replicability may not enhance (and, in some cases, may actually damage) model reproducibility. We claim that although both are undesirable, low model reproducibility poses more of a threat to long-term scientific progress than low model replicability. In our opinion, low model reproducibility stems mostly from authors' omitting to provide crucial information in scientific papers and we stress that sharing all computer code and data is not a solution. Reports of computational studies should remain selective and include all and only relevant bits of code. (shrink)

Deleuze uważa, ze nie można pogodzić Hegla i Nietzschego. Hegel jest wedle niego abstrakcyjny, a Nietzsche - konkretny. Tymczasem pojęcia "konkret" i "abstrakcja" należą do ideologicznego arsenału konserwatyzmu. Rozpatruję nie tyle prawdziwość tezy Deleuza, co jej genealogię. Hegel i Nietzsche kontynuują oświeceniowe poszukiwania "człowieka konkretnego". "Człowiek konkretny" to wytwór drugiej fazy oświecenia (rodzaj "kompensacji" w znaczeniu Marquarda): przekształcenie parenetyki w filozofię historii i kultury (wzgl. społeczną). "Wielki bohater historii" i "nadczłowiek" są próbami ujęcia konkretu społeczno-historycznego. Rzut oka na strukturalną pozycję (...) kategorii Hegla w jego systemie oraz ideału Nietzschego w jego myśli (mediatyzacja a problem wątpliwej konkretności nadczłowieka) uprawdopodabnia następujący wniosek: Nadczłowiek stanowi abstrakcyjny projekt uchwycenia konkretu. Nie można ukryć trudności w ocenie stosunku Hegla i Nietzschego wobec konserwatyzmu romantycznego. Przyczyna leży m.in. w wykorzystaniu arsenału myśli konserwatywnej przy jednoczesnym jej przekształceniu. Stąd trudno orzec, czy "konserwatyzm romantyczny" zniesiony (Hegel) lub przekształcony w ekstatyczno-chiliastyczną filozofię przyszłości (Nietzsche) jest bardziej konserwatywny, czy raczej liberalny itp. Jeden przykład z "warsztatu filozofowania" obu myślicieli wykazuje swoiste odniesienie się do konkretu, a także problematyczność tego odniesienia. Co więcej, opozycja konkret-abstrakt przy zmieniającym się jej nacechowaniu ideologicznym obejmuje również "empiryzm transcendentalny" samego Deleuze'a, a także - jak się zdaje - sporą część filozofii kontynuującej Nietzschego w intencji sprzeciwienia się Heglowi i jego metanarracjom. Wieloznaczność problemu konkretu ukrywa to, że jest pseudoproblemem lub - w najlepszym wypadku - mylącym wyróżnikiem stanowiska filozoficznego. (shrink)

Nietzsche's treatment of Epicurus is an interesting example of philosophical hermeneutics. Epicurus bas tren notoriously misinterpreted, claims Nietzsche, because bis mask bas been taken for bis true face. Traditionally Epicurus is presented as a utilitarian or hedonist avant la lettre. This is a simplification motivated by a desire to deprecate bis philosophy. To Nietzsche Epicurus was „an idyllic hero”, a teacher with anistocratic predilections aun his own concept of good, critical of the traditional form of religion, and of the „pre-existent (...) form of Cbristianity”. As a hedonist he was much less convincing, as he was afraid of both pain and pleasure. He assumed the mask of an epicure in order to hide bis true self. Nietzsche warn us over and over again not to trust the traditional interpretation of Epicurus and urges us to penetrate beyond the veil of a stylish disguise. (shrink)

In this paper, I argue that embodied cognition, like many other research traditions in cognitive science, offers mostly fallible research heuristics rather than grand principles true of all cognitive processing. To illustrate this claim, I discuss Aizawa’s rebuttal of embodied and enactive accounts of vision. While Aizawa’s argument is sound against a strong reading of the enactive account, it does not undermine the way embodied cognition proceeds, because the claim he attacks is one of fallible heuristics. These heuristics may be (...) helpful in developing models of cognition in an interdisciplinary fashion. I briefly discuss the issue of whether this fallibility actually makes embodied cognition vulnerable to charges of being untestable or non-scientific. I also stress that the historical approach to this research tradition suggests that embodied cognition is not poised to become a grand unified theory of cognition. (shrink)

In this paper, I argue that even if the Hard Problem of Content, as identified by Hutto and Myin, is important, it was already solved in natu- ralized semantics, and satisfactory solutions to the problem do not rely merely on the notion of information as covariance. I point out that Hutto and Myin have double standards for linguistic and mental representation, which leads to a peculiar inconsistency. Were they to apply the same standards to basic and linguistic minds, they would (...) either have to embrace representationalism or turn to semantic nihilism, which is, as I argue, an unstable and unattractive position. Hence, I conclude, their book does not offer an alternative to representation- alism. At the same time, it reminds us that representational talk in cognitive science cannot be taken for granted and that information is different from men- tal representation. Although this claim is not new, Hutto and Myin defend it forcefully and elegantly. (shrink)

The claim defended in the paper is that the mechanistic account of explanation can easily embrace idealization in big-scale brain simulations, and that only causally relevant detail should be present in explanatory models. The claim is illustrated with two methodologically different models: Blue Brain, used for particular simulations of the cortical column in hybrid models, and Eliasmith’s SPAUN model that is both biologically realistic and able to explain eight different tasks. By drawing on the mechanistic theory of computational explanation, I (...) argue that large-scale simulations require that the explanandum phenomenon is identified; otherwise, the explanatory value of such explanations is difficult to establish, and testing the model empirically by comparing its behavior with the explanandum remains practically impossible. The completeness of the explanation, and hence of the explanatory value of the explanatory model, is to be assessed vis-à-vis the explanandum phenomenon, which is not to be conflated with raw observational data and may be idealized. I argue that idealizations, which include building models of a single phenomenon displayed by multi-functional mechanisms, lumping together multiple factors in a single causal variable, simplifying the causal structure of the mechanisms, and multi-model integration, are indispensable for complex systems such as brains; otherwise, the model may be as complex as the explanandum phenomenon, which would make it prone to so-called Bonini paradox. I conclude by enumerating dimensions of empirical validation of explanatory models according to new mechanism, which are given in a form of a “checklist” for a modeler. (shrink)

The purpose of this paper is to present a general mechanistic framework for analyzing causal representational claims, and offer a way to distinguish genuinely representational explanations from those that invoke representations for honorific purposes. It is usually agreed that rats are capable of navigation because they maintain a cognitive map of their environment. Exactly how and why their neural states give rise to mental representations is a matter of an ongoing debate. I will show that anticipatory mechanisms involved in rats’ (...) evaluation of possible routes give rise to satisfaction conditions of contents, and this is why they are representationally relevant for explaining and predicting rats’ behavior. I argue that a naturalistic account of satisfaction conditions of contents answers the most important objections of antirepresentationalists. (shrink)

Cognitive science is an interdisciplinary conglomerate of various research fields and disciplines, which increases the risk of fragmentation of cognitive theories. However, while most previous work has focused on theoretical integration, some kinds of integration may turn out to be monstrous, or result in superficially lumped and unrelated bodies of knowledge. In this paper, I distinguish theoretical integration from theoretical unification, and propose some analyses of theoretical unification dimensions. Moreover, two research strategies that are supposed to lead to unification are (...) analyzed in terms of the mechanistic account of explanation. Finally, I argue that theoretical unification is not an absolute requirement from the mechanistic perspective, and that strategies aiming at unification may be premature in fields where there are multiple conflicting explanatory models. (shrink)

The purpose of this paper is to argue against the claim that morphological computation is substantially different from other kinds of physical computation. I show that some (but not all) purported cases of morphological computation do not count as specifically computational, and that those that do are solely physical computational systems. These latter cases are not, however, specific enough: all computational systems, not only morphological ones, may (and sometimes should) be studied in various ways, including their energy efficiency, cost, reliability, (...) and durability. Second, I critically analyze the notion of “offloading” computation to the morphology of an agent or robot, by showing that, literally, computation is sometimes not offloaded but simply avoided. Third, I point out that while the morphology of any agent is indicative of the environment that it is adapted to, or informative about that environment, it does not follow that every agent has access to its morphology as the model of its environment. (shrink)

In this paper, an account of theoretical integration in cognitive (neuro)science from the mechanistic perspective is defended. It is argued that mechanistic patterns of integration can be better understood in terms of constraints on representations of mechanisms, not just on the space of possible mechanisms, as previous accounts of integration had it. This way, integration can be analyzed in more detail with the help of constraintsatisfaction account of coherence between scientific representations. In particular, the account has resources to talk of (...) idealizations and research heuristics employed by researchers to combine separate results and theoretical frameworks. The account is subsequently applied to an example of successful integration in the research on hippocampus and memory, and to a failure of integration in the research on mirror neurons as purportedly explanatory of sexual orientation. (shrink)

In most accounts of realization of computational processes by physical mechanisms, it is presupposed that there is one-to-one correspondence between the causally active states of the physical process and the states of the computation. Yet such proposals either stipulate that only one model of computation is implemented, or they do not reflect upon the variety of models that could be implemented physically. -/- In this paper, I claim that mechanistic accounts of computation should allow for a broad variation of models (...) of computation. In particular, some non-standard models should not be excluded a priori. The relationship between mathematical models of computation and mechanistically adequate models is studied in more detail. (shrink)

This is a short presentation by the Guest Editors of the series of Special Issues of the journal _Philosophies_ under the common title “Contemporary Natural Philosophy and Philosophies” in which we present Part 2. The series will continue, and the call for contributions to the next Special Issue will appear shortly.

In this chapter we use methods of corpus linguistics to investigate the ways in which mathematicians describe their work as explanatory in their research papers. We analyse use of the words explain/explanation (and various related words and expressions) in a large corpus of texts containing research papers in mathematics and in physical sciences, comparing this with their use in corpora of general, day-to-day English. We find that although mathematicians do use this family of words, such use is considerably less prevalent (...) in mathematics papers than in physics papers or in general English. Furthermore, we find that the proportion with which mathematicians use expressions related to ‘explaining why’ and ‘explaining how’ is significantly different to the equivalent proportion in physics and in general English. We discuss possible accounts for these differences. (shrink)

In this paper, I show how semantic factors constrain the understanding of the computational phenomena to be explained so that they help build better mechanistic models. In particular, understanding what cognitive systems may refer to is important in building better models of cognitive processes. For that purpose, a recent study of some phenomena in rats that are capable of ‘entertaining’ future paths (Pfeiffer and Foster 2013) is analyzed. The case shows that the mechanistic account of physical computation may be complemented (...) with semantic considerations, and in many cases, it actually should. (shrink)

In his recent book, Daniel Dennett defends a novel account of semantic information in terms of design worth getting (Dennett, 2017). While this is an interesting proposal in itself, my purpose in this commentary is to challenge several of Dennett’s claims. First, he argues that semantic information can be transferred without encoding and storing it. Second, this lack of encoding is what makes semantic information unmeasurable. However, the argument for both these claims, presented by Dennett as an intuition pump, is (...) invalid. (shrink)

In this article, after presenting the basic idea of causal accounts of implementation and the problems they are supposed to solve, I sketch the model of computation preferred by Chalmers and argue that it is too limited to do full justice to computational theories in cognitive science. I also argue that it does not suffice to replace Chalmers’ favorite model with a better abstract model of computation; it is necessary to acknowledge the causal structure of physical computers that is not (...) accommodated by the models used in computability theory. Additionally, an alternative mechanistic proposal is outlined. (shrink)

I discuss whether there are some lessons for philosophical inquiry over the nature of simulation to be learnt from the practical methodology of reengineering. I will argue that reengineering serves a similar purpose as simulations in theoretical science such as computational neuroscience or neurorobotics, and that the procedures and heuristics of reengineering help to develop solutions to outstanding problems of simulation.

In this paper, I review the objections against the claim that brains are computers, or, to be precise, information-processing mechanisms. By showing that practically all the popular objections are either based on uncharitable interpretation of the claim, or simply wrong, I argue that the claim is likely to be true, relevant to contemporary cognitive (neuro)science, and non-trivial.

When discussing the safety of research subjects, including their exploitation and vulnerability as well as failures in clinical research, recent commentators have focused mostly on countries with low or middle-income economies. High-income countries are seen as relatively safe and well-regulated. This article presents irregularities in clinical trials in an EU member state, Poland, which were revealed by the Supreme Audit Office of Poland (the NIK). Despite adopting many European Union regulations, including European Commission directives concerning Good Clinical Practice, these irregularities (...) occurred. Causes as well as potential solutions to make clinical trials more ethical and safer are discussed. (shrink)

The article presents the interdisciplinary approach of Edwin Hutchins, analyzing his conception of distributed cognition as probably the most important and lasting contribution of anthropology to the repertoire of theoretical tools in cognitive science. At the same time, this conception resulted in one of the most interesting relationships between cognitive science and social sciences. These relationships are made possible by the assumptions of Hutchins’ conception, which directly contribute to interdisciplinary collaboration. His account of distributed cognition has enormous potential, allowing the (...) integration of research into cognitive and social processes. This is also because it breaks with methodological individualism. (shrink)

The paper defends the claim that the mechanistic explanation of information processing is the fundamental kind of explanation in cognitive science. These mechanisms are complex organized systems whose functioning depends on the orchestrated interaction of their component parts and processes. A constitutive explanation of every mechanism must include both appeal to its environment and to the role it plays in it. This role has been traditionally dubbed competence. To fully explain how this role is played it is necessary to explain (...) the information processing inside the mechanism embedded in the environment. The most usual explanation on this level has a form of a computational model, for example a software program or a trained artificial neural network. However, this is not the end of the explanatory chain. What is left to be explained is how the program is realized (or what processes are responsible for information processing in the artificial neural network). By using two dramatically different examples from the history of cognitive science I show the multi-level structure of explanations in cognitive science. These examples are (1) the explanation of human process solving as proposed by A. Newell & H. Simon; (2) the explanation of cricket phonotaxis via robotic models by B. Webb. (shrink)

Background: Biomedical research nowadays is increasingly carried out in multinational and multicenter settings. Due to disparate national regulations on various ethical aspects, such as informed consent, there is the risk of ethical compromises when involving human subjects in research. Although the Declaration of Helsinki is the point of reference for ethical conduct of research on humans, national normative requirements may diverge from its provisions. The aim of this research is to examine requirements on informed consent in biomedical research in Germany, (...) Poland, and Russia to determine how each national regulatory framework relates to the provisions of the Declaration of Helsinki. Methods: For this analysis, we conducted a search of the legal databases “Gesetze im Internet” for Germany, “Internetowy System Aktow Prawnych” for Poland, and “ГAPAHT – Garant” for Russia. The search was complemented by a review of secondary literature contained in the databases Google Scholar, PubMed, Polish National Library, and eLibrary ru. We have identified 21 normative regulations containing provisions on informed consent in clinical research in all three countries. The content of these documents was systematically categorized and analyzed. Results: The normative framework in all three countries shows a strong commitment towards the core ethical principles of research envisaged in the Declaration of Helsinki. Nevertheless, provisions on informed consent vary between these three countries. The differences range from the method and language in which information should be provided, through the amount of information required to be disclosed, to the form of documenting consent or withdrawal. In the case of research on vulnerable groups, these differences are particularly visible. Conclusions: The identified differences can negatively impact the ethical conduct of international clinical studies. Attention needs to be paid that flexibilities within national regulations are not misused to undermine the protection of research subjects. Achieving global or regional legislative harmonization might prove impossible. Such lack of legal consensus reinforces the significance of the international ethical agreements. (shrink)

The development of new methods in the field of prenatal testing leads to an expansion of information that needs to be provided to expectant mothers. The aim of this research is to explore opinions and attitudes of gynecologists in Germany, Poland and Russia towards access to prenatal testing and diagnostics in these countries. Semi-structured interviews were conducted with n = 18 gynecologists in Germany, Poland and Russia. The interviews were analyzed using the methods of content analysis and thematic analysis. Visible (...) in all three countries is a connection of prenatal medicine with the politically and socially contentious issue of pregnancy termination. Respondents in Poland and Russia concentrated on the topic of inadequate resources. Quality of information for expectant mothers is an important point in all three countries. Only in Germany was the issue of language barriers in communication raised. With regard to non-invasive prenatal testing (NIPT) respondents in Germany focused on the ethical issues of routinization of testing; in Poland and Russia they concentrated on fair access to NIPT. Challenges in all three countries arise from structural factors such as imprecise and prohibitive regulations, lack of resources or organization of healthcare services. These should be addressed on a political and medico-ethical level. (shrink)

The introduction to the volume and the overview of the idea of naturalizing the mind.

In this paper, the role of the environment and physical embodiment of computational systems for explanatory purposes will be analyzed. In particular, the focus will be on cognitive computational systems, understood in terms of mechanisms that manipulate semantic information. It will be argued that the role of the environment has long been appreciated, in particular in the work of Herbert A. Simon, which has inspired the mechanistic view on explanation. From Simon’s perspective, the embodied view on cognition seems natural but (...) it is nowhere near as critical as its proponents suggest. The only point of difference between Simon and embodied cognition is the significance of body-based off-line cognition; however, it will be argued that it is notoriously over-appreciated in the current debate. The new mechanistic view on explanation suggests that even if it is critical to situate a mechanism in its environment and study its physical composition, or realization, it is also stressed that not all detail counts, and that some bodily features of cognitive systems should be left out from explanations. (shrink)

Multiple realizability (MR) is traditionally conceived of as the feature of computational systems, and has been used to argue for irreducibility of higher-level theories. I will show that there are several ways a computational system may be seen to display MR. These ways correspond to (at least) five ways one can conceive of the function of the physical computational system. However, they do not match common intuitions about MR. I show that MR is deeply interest-related, and for this reason, difficult (...) to pin down exactly. I claim that MR is of little importance for defending computationalism, and argue that it should rather appeal to organizational invariance or substrate neutrality of computation, which are much more intuitive but cannot support strong antireductionist arguments. (shrink)

This study is intended to determine the efficacy of the teachers and students involving social, cognitive, and teaching presences to the Senior High School students of Saint Joseph College. This study utilized the descriptive survey design. Calderon (2006), defined descriptive research as a purposive process of gathering, analyzing, classifying, and tabulating data about prevailing conditions, practices, processes, trends, and cause-effect relationships and then making an adequate and accurate interpretation of such data with or without or sometimes minimal aid of statistical (...) methods. The following major findings are: the status of the implementation of the online educational community is at a well-implemented level as rated by the students and the teachers. There is no significant difference between the rating of the teachers and the students on the status of the implementation of the online educational community. It can be concluded that the implementation of the online educational community could not be indicative of the performance of the students. Since there is no significant relationship between the implementation of utilizing online education, online learning can still continue as a learning modality whether there is an ongoing pandemic or not because there might be other factors that affect the performance of the students. The mode of the teaching-learning process could not affect the performance of the students. (shrink)

Is there a field of social intelligence? Many various disciplines ap-proach the subject and it may only seem natural to suppose that different fields of study aim at explaining different phenomena; in other words, there is no spe-cial field of study of social intelligence. In this paper, I argue for an opposite claim. Namely, there is a way to integrate research on social intelligence, as long as one accepts the mechanistic account to explanation. Mechanistic inte-gration of different explanations, however, comes (...) at a cost: mechanism requires explanatory models to be fairly complete and realistic, and this does not seem to be the case for many models concerning social intelligence, especially models of economical behavior. Such models need either be made more realistic, or they would not count as contributing to the same field. I stress that the focus on integration does not lead to ruthless reductionism; on the contrary, mechanistic explanations are best understood as explanatorily pluralistic. (shrink)

The paper proposes an empirical method to investigate linguistic prescriptions as inherent corrective behaviors. The behaviors in question may but need not necessarily be supported by any explicit knowledge of rules. It is possible to gain insight into them, for example by extracting information about corrections from revision histories of texts (or by analyzing speech corpora where users correct themselves or one another). One easily available source of such information is the revision history of Wikipedia. As is shown, the most (...) frequent and short corrections are limited to linguistic errors such as typos (and editorial conventions adopted in Wikipedia). By perusing an automatically generated revision corpus, one gains insight into the prescriptive nature of language empirically. At the same time, the prescriptions offered are not reducible to descriptions of the most frequent linguistic use. (shrink)

This paper argues in favor of two related theses. First, due to a fundamental, biologically grounded world-openness, human culture is a biological imperative. As both biology and culture evolve historically, cultures rise and fall and the diversity of the human species develops. Second, in this historical process of rise and fall, abnormality plays a crucial role. From the perspective of a broader context traditionally addressed by speculative philosophies of history, the so-called mental disorders may be seen as entailing particular functional (...) advantages, and thus have a great impact on the course of human history. Nowadays, however, we live under a threat of cultural uniformity. While the diversity of the human species is cherished at the political level, it is being slowly eradicated through medical means. This paradox is a dangerous feature of contemporary globalized society that can lead to highly problematic consequences. (shrink)

The nature of legislative intent remains a subject of vigorous debate. Its many participants perceive the intent in different ways. In this paper, I identify the reason for such diverse perceptions: three intentions are involved in lawmaking, not one. The three intentions correspond to the three aspects of a speech act: locutionary, illocutionary and perlocutionary. The dominant approach in legal theory holds that legislative intent is a semantic (locutionary) one. A closer examination shows that it is, in fact, an illocutionary (...) one. In the paper, I draw the consequences for legal interpretation of this more theorized model of legislative intent. (shrink)

In light of the recent credibility crisis in psychology, this paper argues for a greater emphasis on theorizing in scientific research. Although reliable experimental evidence, preregistration, methodological rigor, and new computational frameworks for modeling are important, scientific progress also relies on properly functioning theories. However, the current understanding of the role of theorizing in psychology is lacking, which may lead to future crises. Theories should not be viewed as mere speculations or simple inductive generalizations. To address this issue, the author (...) introduces a framework called “cognitive metascience,” which studies the processes and results of evaluating scientific practice. This study should proceed both qualitatively, as in traditional science and technology studies and cognitive science, and quantitatively, by analyzing scientific discourse using language technology. By analyzing theories as cognitive artifacts that support cognitive tasks, this paper aims to shed more light on their nature. This perspective reveals that multiple distinct theories serve entirely different roles, and studying these roles, along with their epistemic vices and virtues, can provide insight into how theorizing should proceed. The author urges a change in research culture to appreciate the variety of distinct theories and to systematically advance scientific progress. . (shrink)

Predictive processing (PP) has been repeatedly presented as a unificatory account of perception, action, and cognition. In this paper, we argue that this is premature: As a unifying theory, PP fails to deliver general, simple, homogeneous, and systematic explanations. By examining its current trajectory of development, we conclude that PP remains only loosely connected both to its computational framework and to its hypothetical biological underpinnings, which makes its fundamentals unclear. Instead of offering explanations that refer to the same set of (...) principles, we observe systematic equivocations in PP‐based models, or outright contradictions with its avowed principles. To make matters worse, PP‐based models are seldom empirically validated, and they are frequently offered as mere just‐so stories. The large number of PP‐based models is thus not evidence of theoretical progress in unifying perception, action, and cognition. On the contrary, we maintain that the gap between theory and its biological and computational bases contributes to the arrested development of PP as a unificatory theory. Thus, we urge the defenders of PP to focus on its critical problems instead of offering mere re‐descriptions of known phenomena, and to validate their models against possible alternative explanations that stem from different theoretical assumptions. Otherwise, PP will ultimately fail as a unified theory of cognition. (shrink)

For millennia, knowledge has eluded a precise definition. The industrialization of knowledge (IoK) and the associated proliferation of the so-called knowledge communities in the last few decades caused this state of affairs to deteriorate, namely by creating a trio composed of data, knowledge, and information (DIK) that is not unlike the aporia of the trinity in philosophy. This calls for a general theory of knowledge (ToK) that can work as a foundation for a science of knowledge (SoK) and additionally distinguishes (...) knowledge from both data and information. In this paper, I attempt to sketch this generality via the establishing of both knowledge structures and knowledge systems that can then be adopted/adapted by the diverse communities for the respective knowledge technologies and practices. This is achieved by means of a formal–indeed, mathematical–approach to epistemological matters a.k.a. formal epistemology. The corresponding application focus is on knowledge systems implementable as computer programs. (shrink)

W artykule przedstawiono argumenty, że konfirmacja tezy, iż istnieją moduły umysłowe wyjaśniające cechy umysłu, jest z kilku powodów kłopotliwa. Po pierwsze, istnieje kilka konkurencyjnych teorii modularności, które zresztą nie zawsze się wykluczają, przez co nie można między nimi rozstrzygać eksperymentalnie. Po drugie, tezy na temat modularności często oparte są na bezzasadnym założeniu, iż wyróżnianie specyficznych dziedzin (semantycznych lub składniowych) działania modułów nie jest problematyczne. Po trzecie, analizując znany z literatury moduł wykrywania oszustów, postulowany przez Cosmides w celu wyjaśnienia rzekomej irracjonalności (...) objawiającej się w tzw. zadaniu Wasona, pokazuję, że wyjaśniane zjawisko nie zostało zdefiniowane dostatecznie dokładnie, a przez to nieostra jest funkcjonalna charakterystyka modułów je wyjaśniających. Co więcej, nie ma powodów sądzić, że zjawisko, które ten moduł miał wyjaśniać, w ogóle istnieje. Wskazuję też kilka problemów metodologicznych związanych ze zbieraniem eksperymentalnych świadectw na rzecz modularności, takich jak zaburzanie wyników eksperymentów przez uśrednianie i brak kontroli nad kluczowymi czynnikami wpływającymi na rezultaty uzyskiwane przez uczestników badania. (shrink)

The goal of the article is to show that a complete answer to the title question can be given only in the context of the natural sciences. We believe that the group of cognitive sciences are the most reliable source of information about cognitive mental processes is. Making use of their achievements, we present a series of criteria for possessing a mind. We distinguish between many kinds of minds. We attempt to outline the conditions that must be fulfilled by an (...) adequate model of the mind. In our opinion, such a model must make use of all available empirical data and of scientific theories constructed on the basis of such data. From the point of view of philosophy, the requirements placed upon such theories by ontology are especially important. Their reconstruction can be a prolegomenon to a future integrated ontology of the mind. We emphasize that the mind is not an independent thing. In speaking about the mind we have in mind states, events, processes, functions, and dispositions that are derivative with respect to processes of a lower order. We assume that an adequate model of the mind is multi-dimensional, taking into account several mutually interacting levels of organization. We interpret the psychophysical problem as one of the relation between levels of organization, a relation that is constitutive for the actualization of mental states. Psychophysical relations turn out to be a particular case of the broader issue of relations between levels. In carrying out a preliminary conceptualization we make use of the notion of emergence; this is why our position, which is mainly in opposition to substantial dualism, may be termed emergent monism or naturalism. (shrink)

Recent work on skin-brain thesis suggests the possibility of empirical evidence that empiricism is false. It implies that early animals need no traditional sensory receptors to be engaged in cognitive activity. The neural structure required to coordinate extensive sheets of contractile tissue for motility provides the starting point for a new multicellular organized form of sensing. Moving a body by muscle contraction provides the basis for a multicellular organization that is sensitive to external surface structure at the scale of the (...) animal body. In other words, the nervous system first evolved for action, not for receiving sensory input. Thus, sensory input is not required for minimal cognition; only action is. The whole body of an organism, in particular its highly specific animal sensorimotor organization, reflects the bodily and environmental spatiotemporal structure. The skin-brain thesis suggests that, in contrast to empiricist claims that cognition is constituted by sensory systems, cognition may be also constituted by action-oriented feedback mechanisms. Instead of positing the reflex arc as the elementary building block of nervous systems, it proposes that endogenous motor activity is crucial for cognitive processes. In the paper, I discuss the issue whether the skin-brain thesis and its supporting evidence can be really used to overthrow the main tenet of empiricism empirically, by pointing out to cognizing agents that fail to have any sensory apparatus. (shrink)

In Darwin’s Dangerous Idea, Daniel Dennett claims that evolution is algorithmic. On Dennett’s analysis, evolutionary processes are trivially algorithmic because he assumes that all natural processes are algorithmic. I will argue that there are more robust ways to understand algorithmic processes that make the claim that evolution is algorithmic empirical and not conceptual. While laws of nature can be seen as compression algorithms of information about the world, it does not follow logically that they are implemented as algorithms by physical (...) processes. For that to be true, the processes have to be part of computational systems. The basic difference between mere simulation and real computing is having proper causal structure. I will show what kind of requirements this poses for natural evolutionary processes if they are to be computational. (shrink)

Artificial models of cognition serve different purposes, and their use determines the way they should be evaluated. There are also models that do not represent any particular biological agents, and there is controversy as to how they should be assessed. At the same time, modelers do evaluate such models as better or worse. There is also a widespread tendency to call for publicly available standards of replicability and benchmarking for such models. In this paper, I argue that proper evaluation ofmodels (...) does not depend on whether they target real biological agents or not; instead, the standards of evaluation depend on the use of models rather than on the reality of their targets. I discuss how models are validated depending on their use and argue that all-encompassing benchmarks for models may be well beyond reach. (shrink)