Inhalt

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   1 Introduction
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  2 What Kind of Systems?
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   2.1 Adaptive Learning and Interaction System
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   2.1.1 Challenges
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   2.1.2 System Hypothesis
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   2.1.3 Specific Algorithms
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   2.1.4 Process
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   2.1.5 Results
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   2.2 Automotive Multi-Cue Object Detection System
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   2.2.1 Challenges
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   2.2.2 System Hypothesis
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   2.2.3 Specific Algorithms
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   2.2.4 Process
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   2.2.5 Results
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   2.3 Conclusion
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  3 A Measure for Design Languages
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   3.1 Related Work
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  3.2 Target Setting
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   3.2.1 Why EI System Integration Is Not Software Engineering
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   3.2.2 The Importance of Structural Bias
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   3.2.3 Relation of System Design to Software Infrastructure
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   3.3 Criteria for System Integration Formalisms
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   3.4 Evaluation of Existing Formalisms
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   3.4.1 The `Boxes and Arrows' Formalism
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   3.4.2 3-Tier Architectures
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   3.4.3 CogAff
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   3.4.4 SYSTEMATICA
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   3.5 Conclusion
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   4 A New Design Language
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  4.1 SYSTEMATICA 2D Language Specification
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   4.1.1 Functional System Design
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   4.1.2 Functional vs. Technical Aspects
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   4.1.3 Descriptive System Design
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   4.1.4 Visual Representation
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  4.2 Structural Bias
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   4.2.1 Definition and Proof of System Properties
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   4.2.2 Impact of Structural Bias
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  4.3 Evaluation
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   4.3.1 Translation of existing formalisms
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   4.3.2 Evaluation of SYSTEMATICA 2D in the Measure
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  4.4 Results
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   4.4.1 The AutoSys design
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   4.5 Conclusion
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   5 From Design to System
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  5.1 Mapping Design To Infrastructure
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   5.1.1 Infrastructure Prerequisites
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   5.1.2 Mappings to Specific Infrastructure Paradigms
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   5.2 Generic System Elements
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   5.2.1 Reliable Modulation
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   5.2.2 SYS2D Monitoring System
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  5.3 Intermediate Summary: The Final Hypothesis Test Cycle
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   5.3.1 From Hypothesis to Design
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   5.3.2 Mapping Design to Infrastructure
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   5.3.3 Stepwise Implementation of the Mapped Design
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   5.3.4 Evaluation and Publication of Implemented System
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   5.3.5 Decomposition of Final System and Revision of the Hypothesis
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   5.4 Conclusion
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   6 System Properties and Types
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  6.1 System Properties
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   6.1.1 Sensor and Behavior Spaces
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   6.1.2 Incremental Representations
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   6.1.3 Sensory and Behavioral Confinement
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   6.2 EI System Design Types
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   6.2.1 Incremental Processing
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   6.2.2 Hierarchical Behavior
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   6.2.3 Incremental Behavior
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   6.3 Conclusion
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   7 Results
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  7.1 Hypothesis Formulation and Evolution
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   7.1.1 Description of Hypothesis Concepts
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   7.1.2 Description of Existing Systems
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   7.1.3 Description of New Systems
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   7.1.4 Comparison of ALIS and AutoSys System Properties
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   7.2 System Construction Process & Properties
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   7.3 Reduced System Construction Effort
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   7.4 Conclusion
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   8 Conclusion
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   Appendix
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   Bibliography