PDF-(READ)-Artificial Psychology Psychological Modeling and Testing of AI Systems

This book explores the subject of artificial psychology and how the field must adapt human neuropsychological testing techniques to provide adequate cognitive testing of advanced artificial intelligence systems It shows how classical testing methods will reveal nothing about the cognitive nature of the systems and whether they are learning reasoning and evolving correctly for these systems the authors outline how testing techniques similar toadapted from human psychological testing must be adopted particularly in understanding how the system reacts to failure or relearning something it has learned incorrectly or inferred incorrectly The authors provide insights into future architecturescapabilities that artificial cognitive systems will possess and how we can evaluate how well they are functioning It discusses at length the notion of humanAI communication and collaboration and explores such topics as knowledge development knowledge modeling and ambiguity management artificial cognition and selfevolution of learning artificial brain components and cognitive architecture and artificial psychological modelingExplores the concepts of Artificial Psychology and Artificial Neuroscience as applied to advanced artificially cognitive systemsProvides insight into the world of cognitive architectures and biologicallybased computing designs which will mimic human brain functionality in artificial intelligent systems of the futureProvides description and design of artificial psychological modeling to provide insight into how advanced artificial intelligent systems are learning and evolvingExplores artificial reasoning and inference architectures and the types of modeling and testing that will be required to quottrustquot an autonomous artificial intelligent systems. 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