David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
Evolution produced many species whose members are pre-programmed with almost all the competences and knowledge they will ever need. Others appear to start with very little and learn what they need, but appearances can deceive. I conjecture that evolution produced powerful innate meta-knowledge about a class of environments containing 3- D structures and processes involving materials of many kinds. In humans and several other species these innate learning mechanisms seem initially to use exploration techniques to capture a variety of useful generalisations after which there is a "phase transition" in which learnt generalisations are displaced by a new generative architecture that allows novel situations and problems to be dealt with by reasoning -- a pre-cursor to explicit mathematical theorem proving in topology, geometry, arithmetic, and kinematics. This process seems to occur in some non-human animals and in preverbal human toddlers, but is clearest in the switch from pattern-based to syntax-based language use. The discovery of non-linguistic toddler theorems has largely gone unnoticed, though Piaget investigated some of the phenomena, and creative problem solving in some other animals also provides clues. A later evolutionary development seems to have enabled humans to cope with domains that involve both regularities and exceptions, explaining "U-shaped" language learning. Only humans appear to be able to develop meta-meta-competences needed for teaching learnt "theorems" and their proofs. I'll sketch a speculative theory, present examples, and propose a research programme, reducing the 'G' in AGI, while promising increased power in return
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library||
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Aaron Sloman, Evolution of Language and Creativity: Evolutionary Precursors to Communicative Language: Internal Languages.
Mateja Jamnik, Alan Bundy & Ian Green (1999). On Automating Diagrammatic Proofs of Arithmetic Arguments. Journal of Logic, Language and Information 8 (3):297-321.
John L. Locke & Barry Bogin (2006). Language and Life History: A New Perspective on the Development and Evolution of Human Language. Behavioral and Brain Sciences 29 (3):259-280.
John W. Dawson Jr (2006). Why Do Mathematicians Re-Prove Theorems? Philosophia Mathematica 14 (3):269-286.
Günther Witzany (2006). Natural Genome-Editing Competences of Viruses. Acta Biotheoretica 54 (4):235-253.
Yury P. Shimansky (2004). The Concept of a Universal Learning System as a Basis for Creating a General Mathematical Theory of Learning. Minds and Machines 14 (4):453-484.
Marc Ereshefsky (2004). Bridging the Gap Between Human Kinds and Biological Kinds. Philosophy of Science 71 (5):912-921.
Ingmar Persson & Julian Savulescu (2010). Moral Transhumanism. Journal of Medicine and Philosophy 35 (6):656-669.
Helen De Cruz (2007). An Enhanced Argument for Innate Elementary Geometric Knowledge and its Philosophical Implications. In Bart Van Kerkhove (ed.), New perspectives on mathematical practices. Essays in philosophy and history of mathematics. World Scientific
Reginald Melton (1995). Developing Meaningful Links Between Higher Education and Training. British Journal of Educational Studies 43 (1):43 - 56.
Lorenzo Carlucci & John Case (2013). On the Necessity of U-Shaped Learning. Topics in Cognitive Science 5 (1):56-88.
Added to index2011-06-07
Total downloads26 ( #155,220 of 1,911,856 )
Recent downloads (6 months)4 ( #181,474 of 1,911,856 )
How can I increase my downloads?