Artificial Mind System Kernel Memory Approach 1st Edition by Tetsuya Hoya ISBN 3540260722 9783540260721

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Product details:
ISBN 10: 3540260722
ISBN 13: 9783540260721
Author: Tetsuya Hoya

Artificial Mind System Kernel Memory Approach 1st Edition Table of contents:

Part I: Theoretical Foundations of Artificial Minds

2. Memory and Cognition in Humans and Machines

   • Cognitive Models of Human Memory
   • Types of Memory: Sensory, Working, and Long-Term Memory
   • Comparing Biological and Artificial Memory Systems
   • Case Study: Memory Mechanisms in Neural Networks

3. Computational Models of Memory

   • Basic Principles of Memory Modeling
   • Distributed vs. Centralized Memory Architectures
   • Memory as a Computational Resource in AI Systems
   • Case Study: Memory in Deep Learning Models

4. The Role of Kernel Memory in Cognitive Systems

   • Defining Kernel Memory: Conceptual Overview
   • Kernel Memory and Its Cognitive Functions
   • Building Memory Systems Based on Kernel Models
   • Case Study: Kernel Memory in Cognitive Robotics

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Part II: Implementing the Kernel Memory Approach

5. Designing the Artificial Mind System

   • Core Components of the Artificial Mind System
   • Architecture of Kernel Memory in AI
   • Memory Encoding, Storage, and Retrieval Processes
   • Case Study: Memory Encoding in Artificial Neural Networks

6. Algorithms for Kernel Memory Processing

   • Theoretical Algorithms for Memory Access and Management
   • Memory Consistency and Synchronization Algorithms
   • Computational Efficiency and Optimization in Kernel Memory Systems
   • Case Study: Algorithmic Solutions for Real-Time Memory Processing

7. Integrating Memory and Perception in Artificial Minds

   • Sensory Input and Memory Formation in AI Systems
   • Perception Models and Memory Interaction
   • Building Perception-Action Loops Using Kernel Memory
   • Case Study: Perception-Based Memory in Autonomous Systems

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Part III: Applications and Practical Implementations

8. Artificial Mind Systems in Robotics

   • Memory in Autonomous Robotic Systems
   • Building Memory Networks for Complex Decision Making
   • The Role of Kernel Memory in Autonomous Navigation
   • Case Study: Memory Models in Robotic Learning Systems

9. AI and Human-Computer Interaction (HCI)

   • Memory in User Interfaces and Interactive Systems
   • Cognitive User Models for Enhanced Interaction
   • Adapting Memory Systems for Personalized User Experiences
   • Case Study: Memory-Based Personal Assistants

10. Cognitive Modeling and Simulation Using Kernel Memory

    • Using Kernel Memory for Cognitive Simulations
    • Memory-Based Approaches in Cognitive Science
    • Simulating Human-Like Memory in Artificial Minds
    • Case Study: Cognitive Modeling in Virtual Agents

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Part IV: The Future of Artificial Minds

11. Enhancing Artificial Mind Systems with Advanced Memory Techniques

    • Next-Generation Memory Models for AI
    • Hybrid Approaches: Combining Kernel Memory with Other Cognitive Models
    • Memory as a Key Driver for AI Advancement
    • Case Study: Future Applications of Kernel Memory in AI

12. Ethical and Philosophical Implications of Artificial Minds

    • Memory and Identity in Artificial Intelligence
    • Ethical Considerations in Creating Memory-Based AI Systems
    • The Philosophical Debate on Artificial Consciousness and Mind
    • Case Study: Ethical Issues in Memory-based AI Decision-Making

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