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Human Intelligence vs Robot Intelligence

Updated: Feb 28

โ“ Did you know what makes robots intelligent?


๐Ÿ’Ž In 1983, a developmental psychologist named Howard Gardner proposed that humans possess multiple (currently, nine) intelligences, thereby challenging the traditional view of intelligence based on I.Q. Tests.


๐Ÿ’Ž While this theory has influenced #pedagogy and educational sciences, the intelligence of artificial agents like #robots is rarely studied or discussed in these terms.


๐Ÿ’Ž Instead, the focus has been on the basic cognitive capabilities needed to exhibit intelligence and the development of artificial methods (computational models) to realize these cognitive capabilities. Some of these #artificialintelligence (A.I.) capabilities that are relevant for present-day robotics include:


๐ŸŽฅ Perception: Robots need A.I. to understand what they are seeing, hearing, or touching. For this, they use models and methods from #computervision, automatic speech recognition, natural language understanding, and #machinelearning in general.


๐Ÿ—๏ธ Knowledge representation: Robots need A.I. to represent and update its knowledge about the world. For this, it often relies on domain-specific #ontologies and semantic networks.


๐Ÿ”ฎ Reasoning: Robots need A.I. to reason based on what it knows, to derive new conclusions that are valid within the given context. Inductive, deductive, and abductive reasoning is the commonly used #logicalreasoning approaches.


๐ŸŽฏ Decision-making: Robots need A.I. to learn what would be the best action to perform, in a given situation. They use #reinforcementlearning to learn an optimal sequence of actions to maximize the expected rewards in the long run.


๐Ÿ“‹ Planning: Robots need A.I. to plan how to achieve their goals, i.e., to reach any state that satisfies the conditions specified in the goal (e.g., the robot is at a specific location, the table is clean, etc.). They use #automatedplanningmethods to determine the robot's actions and the sequence to arrive at one of the goal states.


โ—To generate and exhibit intelligent behavior, robots integrate several of these A.I. models and methods within a robot control architecture. The intelligent behavior of artificial agents typically results from integrating different A.I. models and methods.


Check out the Gardnerโ€™s Theory of Multiple Intelligences: โ–ถ๏ธ https://lnkd.in/dvHgPKJn


To learn more about the cognitive (as well as physical) capabilities needed by robots, check out this Handbook of Robotics, especially chapters 3, 4, 8, and 9: AI-perspectives: the #Turing option

โ–ถ๏ธ https://lnkd.in/d6P9VWez


For more fun: Check out this collection of robots

โ–ถ๏ธ https://lnkd.in/gFjisTb


Contributing Editor: Dr. Teena Hassan


#DidYouKnow




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