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Ivancevic_Applied-Diff-Geom

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1094 <strong>Applied</strong> <strong>Diff</strong>erential <strong>Geom</strong>etry: A Modern IntroductionRelationship between Memory and Force–Fields. As alreadymentioned, the subspace LSF fields is related to our memory storage[Ashcraft (1994)]. Its global macro–level represents the long–term memory(LTM), defined by the least action principle (6.145), related tocognitive economy in the model of semantic memory [Ratcliff (1978);Collins and Quillian (1969)]. Its local micro–level represents working memory(WM), a limited–capacity ‘bottleneck’ defined by the adaptive pathintegral (6.147). According to our formalism, each of Miller’s 7 ± 2 units[Miller (1956)] of the local WM are adaptively stored and averaged to givethe global LTM capacity (similar to the physical notion of potential). Thisaveraging memory lift, from WM to LTM represents retroactive interference,while the opposite direction, given by the path integral (6.147) itself,represents proactive interference. Both retroactive and proactive interferencesare examples of the impact of cognitive contexts on memory. Motivationalcontexts can exert their influence, too. For example, a reduction intask–related recall following the completion of the task is one of the clearestexamples of force–field influences on memory: the amount of detailsremembered of a task declines as the force–field tension to complete thetask is reduced by actually completing it.Once defined, the global LTM potential ϕ = ϕ(x) is then affecting thelocomotion transition paths through the path action principle (6.137), aswell as general learning (6.135–6.136) and decision making process (6.144).On the other hand, the two levels of LSF fields fit nicely into the two levelsof processing framework, as presented by [Craik and Lockhart (1972)],as an alternative to theories of separate stages for sensory, working andlong–term memory. According to the levels of processing framework, stimulusinformation is processed at multiple levels simultaneously dependingupon its characteristics. In this framework, our macro–level memory field,defined by the fields action principle (6.145), corresponds to the shallowmemory, while our micro–level memory field, defined by the adaptive pathintegral (6.147), corresponds to the deep memory.<strong>Geom</strong>etries, Topologies and Noise in LSF geomOn the macro–level in the subspace LSF geom representing ann−dimensional smooth manifold M with the global Riemannian metrictensor g ij , we formulate the geometrical action principleδS[g ij ] = 0,

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