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To browse Academia. The text explores the philosophical implications of consciousness and intelligence as they relate to complex systems, such as biological neural networks and artificial intelligences. It questions whether computational systems can genuinely understand language or if they merely mimic human communication without true comprehension. Additionally, it touches on historical correspondence regarding academic work and personal anecdotes, highlighting the blend of intellectual pursuit and personal connections within the scientific community.
The present article addresses the question of coexistence of non-human machines and the process of thinking. By drawing rationale and cues from earlier research efforts, a new scheme of thought for storage of learned knowledge — as an upper envelope — followed by subsequent reconstruction of brain's neural network, is proposed. This designed concept is then put into perspective by providing arguments from the existing research, thereby making a small effort towards realizing machines that may be conscious.
Dijkstra 1 Artificial Intelligence n. According to one philosopher, Lady Lovelace, she argued that, A computer cannot "originate anything" but only "can do whatever we know how to order it to perform". But Allan Turing proved that his "universal computing machine" would be capable of performing any conceivable mathematical computation if it were representable as an algorithm. I will argue that an action made by an artefact does not only depend on the order made by its human designer rather an artefact is capable of learning.
The human brain has been the source of inspiration behind the birth and growth of Artificial Intelligence. The achievements in the diverse domains of AI have stemmed from replication of brain circuits. Almost as if a full circle, AI which had been inspired from the brain, has also found several applications in the field of Neuroscience and understanding the brain. In this article, we explore these two domains individually, as well as make an attempt to elucidate how closely correlated they actually are.
A undergoing a revolution To explain how and why, and to put John R. Searle's argument in perspective, we first need a flashback.