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Systems psychology is a branch of both theoretical psychology and applied psychology that studies human behaviour and experience as complex systems. It is inspired by systems theory and systems thinking , and based on the theoretical work of Roger Barker , Gregory Bateson , Humberto Maturana and others. [ 1 ]
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
Other capabilities are considered desirable in intelligent systems, as they may affect intelligence or aid in its expression. These include: [30] the ability to sense (e.g. see, hear, etc.), and; the ability to act (e.g. move and manipulate objects, change location to explore, etc.) This includes the ability to detect and respond to hazard. [31]
Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. The concept is employed in work on artificial intelligence . The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems.
Systems thinking is a way of making sense of the complexity of the world by looking at it in terms of wholes and relationships rather than by splitting it down into its parts.
The Institute for Creative Technologies defines a cognitive architecture as a "hypothesis about the fixed structures that provide a mind, whether in natural or artificial systems, and how they work together — in conjunction with knowledge and skills embodied within the architecture — to yield intelligent behavior in a diversity of complex ...
Human intelligence is the intellectual capability of humans, which is marked by complex cognitive feats and high levels of motivation and self-awareness.Using their intelligence, humans are able to learn, form concepts, understand, and apply logic and reason.
The physical symbol system hypothesis claims that both of the following are also examples of physical symbol systems: Intelligent human thought: the symbols are encoded in our brains. The expressions are thoughts. The processes are the mental operations of thinking. English language: the symbols are words. The expressions are sentences.