Brain-mind machinery : brain-inspired computing and mind opening / Gee-Wah Ng.

Format:

Book

Author/Creator:

Ng, G. W. (Gee Wah), 1964-

Language:

English

Subjects (All):

Neural networks (Computer science).

Artificial intelligence.

Physical Description:

1 online resource (384 p.)

Edition:

1st ed.

Place of Publication:

Hackensack, NJ : World Scientific, c2009.

Language Note:

English

Summary:

Brain-Mind Machinery provides a walkthrough to the world of brain-inspired computing and mind-related questions. Bringing together diverse viewpoints and expertise from multidisciplinary communities, the book explores the human quest to build a thinking machine with human-like capabilities. Readers will acquire a first-hand understanding of the brain and mind mechanisms and machineries, as well as how much we have progressed in and how far we are from building a truly general intelligent system like the human brain.

Contents:

Preface; Acknowledgement; CONTENTS; Chapter 1: The Brain: The Center of Attraction; How is the Brain Organized? Specificity Implies Regionalization and Specialization; How Does the Brain Wire Itself?; What is the "computational power" of the brain?; Summary; Chapter 2: Neurons and Synapses: The Key to Memory and Learning; How Do Neurons Communicate and Affect Our Learning and Memory?; How Does Synaptic Plasticity Give Rise to Learning and Memory?; Modeling the Neurons and Synapses; Chapter 3: The Cortex Architecture: The Building Block of Intelligence

How is the Cortex Structurally Arranged?Other Design Factors in the Cortex; Computational Model of the Cortex Architecture - Model After the Hierarchical Structure; Case Study - Why the Brain Can Discriminate and Recognize Pictures in a Glance; How Does the Prefrontal Cortex Perform Decision-Making?; Summary; Chapter 4: Many Faces of Memories - Investigating the Human Multiple Memory Systems; Memory Systems Based on Information Storage Time; Memory Systems Based on the Type of Information Stored; Declarative Memory; Semantic Memory; Episodic Memory; Non-Declarative Memory

Role of Hippocampus in MemoryLet Us Sleep Over It; Interesting Observation of Human Memory; Human Memory in Chronological Age; Summary; Chapter 5: Learning Like a Human: How Does Learning Take Place in Our Brain?; How Do Humans Learn?; How Plasticity and Stability Give Rise to Learning; Forms of Human Learning; Perceptual Learning; Stimulus-Response Learning (S-R Learning); Computational Techniques Based on S-R Learning; Motor Learning; Relational Learning; Dopamine's Role in Learning; Cognitive Learning; Summary; Chapter 6: Emotion and Cognition; Introduction; What are the Emotions?

What is the Possible Emotional Circuitry in the Brain?What is Emotional State?; How Can We Model Emotion and Cognition?; How Do Emotions Affect Our Cognitive Abilities?; Conclusions; Chapter 7: Laminar Computing; What, How, and Why Laminar Computing?; The Neocortex has a Laminar Pattern; Top Down, Bottom-Up, and Horizontal Interactions; Shunting Networks; Folded Feedback; Complementary Properties; The "Drum-up" to Laminar Computing; From Vision to Cognition; Chapter 8: Probabilistic Computing: The Bayesian Mind; Probabilistic Model of Cognitive Process; Bayesian Networks; Conclusions

Chapter 9: Thinking Machine: Higher Theories of Brain and Commonsense Knowledge GenerationCan a Machine Think and Have a Mind?; Multiple Layers of Machinery; Multiple Intelligences; Triarchic Theory of Intelligence; Conceptual Blending Theory; Commonsense Knowledge Representation; The Wise Machine - AI with Wisdom; Summary; Chapter 10: Modeling the Entire Brain: Biologically Inspired Cognitive Architectures; Integrated Cognitive Architecture; SOAR Architecture; ACT-R Architecture; ICARUS Architecture; BDI Architecture; Subsumption Architecture; CLARION Architecture

Functional Comparison of the Six Cognitive Architectures

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

ISBN:

9786612441523

9781282441521

1282441523

9789812790262

9812790268

OCLC:

555893203