Download Artificial Cognition Architectures by James Crowder, Visit Amazon's John N. Carbone Page, search PDF

By James Crowder, Visit Amazon's John N. Carbone Page, search results, Learn about Author Central, John N. Carbone, , Shelli Friess

The aim of this ebook is to set up the root, ideas, concept, and ideas which are the spine of actual, self sufficient man made Intelligence. offered listed below are a few uncomplicated human intelligence options framed for man made Intelligence structures. those contain suggestions like Metacognition and Metamemory, in addition to architectural constructs for synthetic Intelligence models of human mind services just like the prefrontal cortex. additionally provided are attainable and software program architectures that lend themselves to studying, reasoning, and self-evolution

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Take for example cognitive psychology that studies how the brain thinks and works. This includes learning, memory, perception, language, logic. Developmental psychology considers the developmental stages in which an individual develops and what is appropriate to consider normal/standard for a human based upon these stages of development. Sports psychology considers mechanisms specifically to affect individual performance and how performance affects the individual. Hence, Artificial Psychology, in the context of this book, contains the artificial mental process considered necessary to create intelligent, autonomous, self-evolving, artificially cognitive systems.

Harmon [129] found that both computer terminal and humanoid robot had significant correlation for understanding/pleasant and friendly/optimistic characteristics assigned by humans. Yet only the computer terminal showed significant correlation in regard to understandable/capable, pleasant/reliable, and helpful/reliable. Thus, concluding that humans were willing to assign human characteristics to computers. Considering the research described in this chapter one can conclude that how Artificial Intelligence is presented to humans will affect how it is perceived.

Giving credence to the hypothesis that as humans and robots interact, increased understanding of constraint and limitation characteristics grows and directly affects qualitative collaboration. Trends in human-robot interaction [127] show that several characteristics increase human trust in robots, among which reliability is a major factor. Also influencing trust is type, size, proximity, and behavior of the robot. Later research indicates that human characteristics such as ability and personality, and environmental characteristics such as task and team, along with robot performance characteristics/ attributes effect training and design implications, thus, affecting human-robot collaborative team trust [19].

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