Abstract
Over the past decade, AI has made a remarkable progress. It is agreed that this is due to the recently revived Deep Learning technology. Deep Learning enables to process large amounts of data using simplified neuron networks that simulate the way in which the brain works. However, there is a different point of view, which posits that the brain is processing information, not data. This unresolved duality hampered AI progress for years. In this paper, I propose a notion of Integrated information that hopefully will resolve the problem. I consider integrated information as a coupling between two separate entities – physical information (that implies data processing) and semantic information (that provides physical information interpretation). In this regard, intelligence becomes a product of information processing. Extending further this line of thinking, it can be said that information processing does not require more a human brain for its implementation. Indeed, bacteria and amoebas exhibit intelligent behavior without any sign of a brain. That dramatically removes the need for AI systems to emulate the human brain complexity! The paper tries to explore this shift in AI systems design philosophy
Highlights
There is a broad consensus that AI research is making impressive advances in many fields of applications
Intelligence becomes an umbrella term that embraces a multitude of cognitive capabilities, which all together produce the effect of intelligence. Another commonly shared conception is that human cognitive capabilities are all a product of human brain activity, [11]
Following the explained above subdivision of the structures discernible in a given image, two types of information must be distinguished – Physical Information and Semantic Information
Summary
There is a broad consensus that AI research is making impressive advances in many fields of applications. Shane Legg, one of the DeepMind founders, wrote on this issue: “A fundamental problem in strong artificial intelligence is the lack of a clear and precise definition of intelligence itself. Intelligence becomes an umbrella term that embraces (integrates) a multitude of cognitive capabilities (to sense, to perceive and to interpret the surrounding environment; to recognize, to categorize, to generate plans and to solve problems; to predict future situations, to make decisions and select among alternatives; to learn, to memorize, and so on), which all together produce the effect of intelligence Another commonly shared conception is that human cognitive capabilities are all a product of human brain activity, [11]. I think that the Introduction has already went out of bounds and it will be wise to start with the main part of our discussion
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