UnderstandingIntelligence

Here we provide the general structure and some excerpts from our book
Understanding Intelligence as starting points for discussion. All excerpts are copyright restricted and locked from editing. They are published with permission. See also our programming examples.

Related discussion may be placed on this page or linked from here, e.g. by using the wikified Table of Contents at the bottom. Feel free of course to place discussion wherever it suits you, be it on already existing or new pages. To find pages commenting on a certain chapter you may click on its title which will give you all pages containing "ChapterX".

Of the many sites on the web which discuss the book mainly these two are worth visiting:

• Understanding Intelligence at Beats Biblionetz - German
• Dawson's Margin Notes On Understanding Intelligence

Table of contents

Part I The Study of Intelligence-Foundations and Issues

1 The Study of Intelligence

• 1.1 Characterizing Intelligence
• 1.2 Studying Intelligence: The Synthetic Approach

2 Foundations of Classical Artificial Intelligence and Cognitive Science

• 2.1 Cognitive Science: Preliminaries
• 2.2 The Cognitivistic Paradigm
• 2.3 An Architecture for an Intelligent Agent

3 The Fundamental Problems of Classical AI and Cognitive Science

• 3.1 Real Worlds versus Virtual Worlds
• 3.2 Some Well-Known Problems with Classical Systems
• 3.3 The Fundamental Problems of Classical AI
• 3.4 Remedies and Alternatives

Part II A Framework for Embodied Cognitive Science

4 Embodied Cognitive Science: Basic Concepts

• 4.1 Complete Autonomous Agents
• 4.2 Biological and Artificial Agents
• 4.3 Designing for Emergence-Logic-Based and Embodied Systems
• 4.4 Explaining Behavior

5 Neural Networks for Adaptive Behavior

• 5.1 From Biological to Artificial Neural Networks
• 5.2 The Four of Five Basics
• 5.3 Distributed Adaptive Control
• 5.4 Types of Neural Networks
• 5.5 Beyond Information Processing: A Polemic Digression

Part III Approaches and Agent Examples

6 Braitenberg Vehicles

• 6.1 Motivation
• 6.2 The Fourteen Vehicles
• 6.3 Segmentation of Behavior and the Extended Braitenberg Architecture

7 The Subsumption Architecture

• 7.1 Behavior-Based Robotics
• 7.2 Designing a Subsumption-Based Robot
• 7.3 Examples of Subsumption-Based Architectures
• 7.4 Conclusions: The Subsumption Approach to Designing Intelligent Systems

8 Artificial Evolution and Artificial Life

• 8.1 Basic Principles
• 8.2 An Introduction to Genetic Algorithms: Evolving a Neural Controller for an Autonomous Agent
• 8.3 Examples of Artificially Evolved Agents
• 8.4 Toward Biological Plausibility: Cell Growth from Genome-Based Cell-to-Cell Communication
• 8.5 Real Robots, Evolution of Hardware, and Simulation
• 8.6 Artificial Life: Additional Examples
• 8.7 Methodological Issues and Conclusions

9 Other Approaches

• 9.1 The Dynamical Systems Approach
• 9.2 Behavioral Economics
• 9.3 Schema-Based Approaches

Part IV Principles of Intelligent Systems

10 Design Principles of Autonomous Agents

• 10.1 The Nature of the Design Principles
• 10.2 Design Principles for Autonomous Agents
• 10.3 Design Principles in Context

11 The Principle of Parallel, Loosely Coupled Processes

• 11.1 Control Architectures for Autonomous Agents
• 11.2 Traditional Views on Control Architectures
• 11.3 Parallel, Decentralized Approaches
• 11.4 Case Study: A Self-Sufficient Garbage Collector

12 The Principle of Sensory-Motor Coordination

• 12.1 Categorization: Traditional Approaches
• 12.2 The Sensory-Motor Coordination Approach
• 12.3 Case Study: The SMC? Agents
• 12.4 Applications: Active Vision

13 The Principles of Cheap Design, Redundancy, and Ecological Balance

• 13.1 The Principle of Cheap Design
• 13.2 The Redundancy Principle
• 13.3 The Principle of Ecological Balance

14 The Value Principle

• 14.1 Value Systems
• 14.2 Self-Organization
• 14.3 Learning in Autonomous Agents

15 Human Memory: Case Study

• 15.1 Memory Defined
• 15.2 Problems of Classical Notions of Memory
• 15.3 The Frame Problem in Memory Research
• 15.4 The Alternatives
• 15.5 Implications for Memory Research

Part V Design and Evaluation

16 Agent Design Considerations

• 16.1 Preliminary Design Considerations
• 16.2 Agent Design
• 16.3 Putting It All Together: Control Architectures
• 16.4 Summary and a Fundamental Issue

17 Evaluation

• 17.1 General Introduction
• 17.2 Performing Agent Experiments
• 17.3 Measuring Behavior

Part VI Future Directions

18 Theory, Technology, and Applications

• 18.1 Hard Problems
• 18.2 Theory and Technology
• 18.3 Applications

19 Intelligence Revisited

• 19.1 Elements of a Theory of Intelligence
• 19.2 Implications for Society

Glossary

References

Wikified table of contents

(feel free to change and use for new pages whatever you like)

1. TheStudyOfIntelligence?
   
   1. WhatIsIntelligence?
      
   2. SyntheticMethodology?
      
2. Foundations of ClassicalArtificialIntelligence? and Cognitive Science
   
   1. CognitiveScience?
      
   2. TheCognitivisticParadigm?
      
3. TheFundamentalProblemsOfClassicalAI? and Cognitive Science
   
   1. RealWorld? vs. VirtualWorlds?
      
4. EmbodiedCognitiveScience?: basic concepts
   
   1. CompleteAutonomousAgents?
      
   2. BiologicalAgents? and ArtificialAgents?
      
   3. DesignForEmergence?: LogicBasedSystems? and EmbodiedSystems?
      
   4. ExplainingBehavior?
      
5. NeuralNetworks? for AdaptiveBehavior?
   
   1. From BiologicalNeuralNetworks? to ArtificialNeuralNetworks?
      
   2. TheFourOrFiveBasics?
      
   3. DistributedAdaptiveControl?
      
   4. TypesOfNeuralNetworks?
      
   5. BeyondInformationProcessing?
      
6. BraitenbergVehicles?
   
   1. SegmentationOfBehavior? and the ExtendedBraitenbergArchitecture?
      
7. The SubsumptionArchitecture
   
   1. BehaviorBasedRobotics?
      
   2. DesigningIntelligentSystems?
      
8. ArtificialEvolution?
   
   1. BasicPrinciples?
      
   2. GeneticAlgorithms? evolve AutonomousAgent?
      
   3. ArtificiallyEvolvedAgents?
      
   4. BiologicalPlausibility?
      
   5. EvolutionOfHardware?
      
   6. ArtificialLife?
      
9. Other approaches
   
   1. DynamicalSystems?
      
   2. BehavioralEconomics?
      
   3. SchemaBasedApproaches?
      
10. DesignPrinciplesOfAutonomousAgents?
    
11. PrincipleOfParallelLooselyCoupledProcesses?
    
    1. ControlArchitectures? for AutonomousAgents?
       
12. PrincipleOfSensoryMotorCoordination?
    
    1. [[Categorization?]]
       
    2. ActiveVision?
       
13. The principles of cheap design, redundancy, and ecological balance
    
    1. The PrincipleOfCheapDesign?
       
    2. The RedundancyPrinciple?
       
    3. The PrincipleOfEcologicalBalance?
       
14. The ValuePrinciple?
    
    1. ValueSystems?
       
    2. SelfOrganization?
       
    3. LearningInAutonomousAgents?
       
15. Human memory: a case study
    
    1. TheFrameOfReferenceProblem?
       
16. AgentDesignConsiderations?
    
    1. AgentDesign?
       
    2. ControlArchitectures?
       
17. Evaluation
    
    1. Performing AgentExperiments?
       
    2. MeasuringBehavior?
       
18. Theory, technology and applications
    
    1. HardProblems?
       
19. IntelligenceRevised?
    
    1. ImplicationsForSociety?

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