Pinaki Laskar on LinkedIn: #artificialintelligence #machineintelligence #neuralnetwork…

Can we say that animals are more intelligent than #artificialintelligence? Why? They look similar, being unconscious in response to external conditions, automatic and programmed or trained in their behavior, containing both innate (inborn) and learned elements. In all, there are three grades/scales of intelligence: Natural non-human intelligence, marked with basic cognition, animal instincts, trial and error, unconscious and automatic behaviour and learned behaviour [from operant conditioning] through training, reinforcement or punishment; Natural human intelligence, marked with full cognition, causal reasoning, language, numeracy, problem-solving, learning, theory of mind, consciousness, self-awareness or sapience; Artificial or #machineintelligence, marked with world models and computing algorithms and trial and error, unconscious and automatic behaviour and learned behaviour from [operant conditioning] through data training, reinforcement or punishment; In reality, there is no human-like animal cognition, but animal reflexes and instincts, inherited patterns of behavior, as FAPs, caused by the hard-wired #neuralnetwork mechanisms, added with basic cognitions. For example, long-distance navigation should not be considered as #spatialcognition, when many animals travel thousands of kilometers in seasonal migrations or returns to breeding grounds. They may be guided by the sun, the stars, the polarization of light, magnetic cues, olfactory cues, winds, or a combination of these environmental variables.