Page 334 - Deep Learning
P. 334

The Formation of Belief                317

            triggering condition for change as the appearance of a scientific problem, and
            “problems arise … where our ideas about the world are at variance either with
            nature, or with one another: … Conceptual problems in science emerge from
            the comparison, not of ‘propositions’ with ‘observations’, but of ‘ideas’ with
                       59
            ‘experience.’ ”  A conceptual innovation “calls … for a collective dissatisfac-
            tion with the existing conceptual repertory.”  Toulmin does not explain how
                                                 60
            an “idea” being “at variance” with “experience” differs from Kuhn’s concept of
            an anomaly.
               The sheer reasonableness of the idea that theory change is driven by con-
            flicting evidence is the strongest argument in its favor. Why would scientists
            search for a better theory unless they recognize flaws in their current one?
            But the assumption of cognitive conflict as a driving force brings with it the
            need to explain how resistance is overcome. Why are the anomalous, con-
            tradictory or falsifying data not swept under the cognitive rug via periph-
            eral changes? What enables contradictory information to travel up a belief
            hierarchy and affect core scientific principles? Although cognitive analyses
            of science have generated many different proposals regarding the processes
            of theory change, there is no new and clearly articulated answer to this ques-
            tion. For example, there have been several attempts to propose a Darwinian
            variation-selection theory of scientific progress. According to Toulmin, the
            key features of the growth of scientific knowledge are the generation of a pop-
            ulation of conceptual variants and their selection for transmission to the next
            generation of scholars. Presumably, contradictory data and arguments serve
            the selective function in this application of variation-selection. But why are
            the data and arguments accepted rather than resisted? A variation-selection
            account presupposes that negative information about conceptual variants is
            heeded rather than resisted, but it does not by itself explain how or when,
            under which circumstances, this happens.
               other theoretical proposals fare no better on this point. Philip Kitcher’s
            1993  book  Advancement  of  Science  argues  that  science  moves  forward  by
                                        61
            increasing  its  explanatory  power.   in  Kitcher’s  view,  a  scientific  practice  is
            organized around a repertoire of explanation schemas. An explanation schema
            is a template for how to structure the explanation of a particular type of phe-
            nomenon or event. For example, Darwinian variation-selection explanation
            should identify the ancestor species, describe the heritable variations, explain
            the relevant selective pressure and calculate its cumulative effect over many
            generations. To make scientific progress is to improve the repertoire of expla-
            nation schemas. Kitcher writes, “Four distinct kinds of processes are at work
            [in] explanatory progress.” They are “the introduction of correct schemata”;
   329   330   331   332   333   334   335   336   337   338   339