1,642 research outputs found

    Is mindfulness buddhist? (and why it matters)

    Get PDF
    Modern exponents of mindfulness meditation promote the therapeutic effects of “bare attention”—a sort of non-judgmental, non-discursive attending to the moment-to-moment flow of consciousness. This approach is arguably at odds with more traditional Theravada Buddhist doctrine and meditative practice, but the cultivation of present-centered awareness is not without precedent in Buddhist history; similar innovations arose in medieval Chinese Zen (Chan) and Tibetan Dzogchen. These movements have several things in common. In each case the reforms were, in part, attempts to render Buddhist practice and insight accessible to laypeople unfamiliar with Buddhist philosophy and/or unwilling to adopt a renunciatory lifestyle. They also promised quick results. And finally, the innovations were met with suspicion and criticism from traditional Buddhist quarters. Those interested in the therapeutic effects of mindfulness and bare attention are often not aware of the existence, much less the content, of the controversies surrounding these practices in Asian Buddhist history

    Network Identification for Diffusively-Coupled Systems with Minimal Time Complexity

    Full text link
    The theory of network identification, namely identifying the (weighted) interaction topology among a known number of agents, has been widely developed for linear agents. However, the theory for nonlinear agents using probing inputs is less developed and relies on dynamics linearization. We use global convergence properties of the network, which can be assured using passivity theory, to present a network identification method for nonlinear agents. We do so by linearizing the steady-state equations rather than the dynamics, achieving a sub-cubic time algorithm for network identification. We also study the problem of network identification from a complexity theory standpoint, showing that the presented algorithms are optimal in terms of time complexity. We also demonstrate the presented algorithm in two case studies.Comment: 12 pages, 3 figure
    corecore