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4. Wearable Personal Assistants   107




                     Media Guide. The personal assistant could also suggest to his user news arti-
                     cles, videos, movies, or music based on user history and current preferences
                     which he could then stream to any of the user’s device. Unlike the existing
                     media assistants which push the services of a proprietary manufacturer or
                     content provider, it would always act on the user’s behalf and keep his confi-
                     dential information protected from prying eyes.
                     Lifestyle and Transactions. Finally, neural assistants could suggest to the user
                     suitable activity and even perform many types of transactions online, from
                     renting a room on Airbnb, and hiring a plumber on TaskRabbit, to investing in
                     electronic currencies such as bitcoin. In fact, blockchain technology and
                     Ethereum smart contracts are perfect match for wearable assistants in their
                     never ceasing effort to protect the user data. Over time they become their users’
                     alter egos.
                     I conclude this chapter with some principles of the design for neural-based wear-
                  able personal assistants I developed over the years. Taken together, they offer a
                  glimpse of a new way of not only looking at AI and personal assistants, but perhaps
                  they also offer a new view of how our brains and bodies think and act in our world:
                  1. Neural Populations Form Fields, Not Structures. Structures, like neural
                     networks, are static spatial patterns, frozen in time. Resonant neural populations
                     form and reform dynamically, in real time, over the entire brain via AM carrier
                     waves.
                  2. Meaning Is Embodied. Meanings reside in the mutually entrained ecosystem of
                     brain, body, and environment. They are not representations; meanings arise
                     from the global resonance of large neuron populations in the cortex. They are
                     assembled from already meaningful local multimodal sensor streams which are
                     combined to form context dependent attractor basins. Meanings do not reside in
                     the outside world, but symbols, and other artifacts such as a knife, traffic sign,
                     gestures, alphabet, grammar, do.
                  3. Meaning Is Context-Based. When learning to walk, infants will produce walking
                     behavior earlier when placed in inductive context, that is, buoyed by water, or
                     put on the treadmill. Meaning of the word “bank” in “I sat on a river bank,”
                     differs from its meaning in “I walked into Citi bank.” Same color swatch will
                     look different on different colored backgrounds, and the same music phrase will
                     sound different depending on what notes preceded or followed it.
                  4. The Brain Does Not Represent, It Assimilates. It does not “store processed input
                     signals,” or stimuli, there are no representations inside the brain, that is, no links
                     between the internal world of symbols and external world of objects. The body
                     does not “absorb” stimuli, but changes its own form to become similar to
                     aspects of stimuli that are relevant to the intent that emerged within the brain.
                  5. Categorization Is Perceptual. Concepts form when two or more percepts
                     temporally correlate. Meaning of a concept is not based on its link to the outside
                     world, but on its usefulness to the user, planning actions in different
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