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This book explores the subject of artificial psychology and how the
field must adapt human neuro-psychological 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
to/adapted 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
architectures/capabilities that artificial cognitive systems will
possess and how we can evaluate how well they are functioning. It
discusses at length the notion of human/AI communication and
collaboration and explores such topics as knowledge development,
knowledge modeling and ambiguity management, artificial cognition
and self-evolution of learning, artificial brain components and
cognitive architecture, and artificial psychological modeling.
Explores the concepts of Artificial Psychology and Artificial
Neuroscience as applied to advanced artificially cognitive systems;
Provides insight into the world of cognitive architectures and
biologically-based computing designs which will mimic human brain
functionality in artificial intelligent systems of the future;
Provides description and design of artificial psychological
modeling to provide insight into how advanced artificial
intelligent systems are learning and evolving; Explores artificial
reasoning and inference architectures and the types of modeling and
testing that will be required to "trust" an autonomous artificial
intelligent systems.
The goal of this book is to establish the foundation, principles,
theory, and concepts that are the backbone of real, autonomous
Artificial Intelligence. Presented here are some basic human
intelligence concepts framed for Artificial Intelligence systems.
These include concepts like Metacognition and Metamemory, along
with architectural constructs for Artificial Intelligence versions
of human brain functions like the prefrontal cortex. Also presented
are possible hardware and software architectures that lend
themselves to learning, reasoning, and self-evolution
This book examines the paradigm of the engineering design process.
The author discusses agile systems and engineering design. The book
captures the entire design process (function bases), context, and
requirements to affect real reuse. It provides a methodology for an
engineering design process foundation for modern and future systems
design. Captures design patterns with context for actual Systems
Engineering Design Reuse and contains a new paradigm in Design
Knowledge Management.
Management and enables them to deal with the demands and
complexities of modern, agile systems/software/hardware development
teams. The book examines the project/program manager beyond the
concepts of leadership and aims to connect to employees' sense of
identity. The text examines human psychological concepts such as
"locus of control," which will help the manager understand their
team members' view and how best to manage their "world"
contributions. The authors cover new management tools and
philosophies for agile systems/software/hardware development teams,
with a specific focus on how this relates to engineering and
computer science. This book also includes practical case studies.
Discusses management skills needed as they relate to the advances
in software development practices Examines how to manage an agile
development team that includes teams across geographically,
ethnically, and culturally diverse backgrounds Embraces all of the
aspects of modern management and leadership
Management and enables them to deal with the demands and
complexities of modern, agile systems/software/hardware development
teams. The book examines the project/program manager beyond the
concepts of leadership and aims to connect to employees' sense of
identity. The text examines human psychological concepts such as
“locus of control,” which will help the manager understand
their team members’ view and how best to manage their “world”
contributions. The authors cover new management tools and
philosophies for agile systems/software/hardware development teams,
with a specific focus on how this relates to engineering and
computer science. This book also includes practical case studies.
Discusses management skills needed as they relate to the advances
in software development practices Examines how to manage an agile
development team that includes teams across geographically,
ethnically, and culturally diverse backgrounds Embraces all of the
aspects of modern management and leadership
This book examines the paradigm of the engineering design process.
The author discusses agile systems and engineering design. The book
captures the entire design process (function bases), context, and
requirements to affect real reuse. It provides a methodology for an
engineering design process foundation for modern and future systems
design. Captures design patterns with context for actual Systems
Engineering Design Reuse and contains a new paradigm in Design
Knowledge Management.
The goal of this book is to establish the foundation, principles,
theory, and concepts that are the backbone of real, autonomous
Artificial Intelligence. Presented here are some basic human
intelligence concepts framed for Artificial Intelligence systems.
These include concepts like Metacognition and Metamemory, along
with architectural constructs for Artificial Intelligence versions
of human brain functions like the prefrontal cortex. Also presented
are possible hardware and software architectures that lend
themselves to learning, reasoning, and self-evolution
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