封面
版权信息
Chapter 1 Introduction
Chapter 2 Backgrounds
2.1 Operational Semantics
2.2 Proof Techniques
2.3 Truly Concurrent Process Algebra-APTC
2.3.1 Basic Algebra for True Concurrency
2.3.2 APTC with Left Parallel Composition
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2.3.3 Recursion
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2.3.4 Abstraction
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2.3.5 Placeholder
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2.3.6 App lications
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2.4 Truly Concurrent Process Algebra with Localities
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2.4.1 Operational Semantics with Localities
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2.4.2 BATC with Localities
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2.4.3 APTC with Localities
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2.4.4 Recursion with Localities
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2.4.5 Abstraction with Localities
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Chapter 3 An Axiomatization of Discrete Event Processes
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3.1 Basic Algebra for True Concurrency-BATC
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3.1.1 Axiom System of BATC
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3.1.2 Properties of BATC
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3.1.3 Structured Operational Semantics of BATC
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3.2 Algebra for Parallelism in True Concurrency
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3.2.1 Parallelism as a Fundamental Computational Pattern
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3.2.2 Axiom System of Parallelism
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3.2.3 Properties of Parallelism
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3.2.4 Structured Operational Semantics of Parallelism
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3.2.5 Encapsulation
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3.3 Recursion
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3.3.1 Guarded Recursive Specifications
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3.3.2 Recursive Definition and Specification Principles
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3.3.3 Approximation Induction Principle
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3.4 Silent Step and Abstraction
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3.4.1 Guarded Linear Recursion
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3.4.2 Algebraic Laws for the Silent Step
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3.4.3 Abstraction
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Chapter 4 An Axiomatization of Distributed Discrete Event Processes
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4.1 BATC with Static Localities
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4.1.1 Axiom System of BATC with Static Localities
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4.1.2 Properties of BATC with Static Localities
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4.1.3 Structured Operational Semantics of BATC with Static Localities
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4.2 APTC with Static Localities
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4.2.1 Properties of Parallelism with Static Localities
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4.2.2 Structured Operational Semantics of Parallelism with Static Localities
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4.2.3 Encapsu lation with Static Localities
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4.3 Recursion with Static Localities
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4.3.1 Guarded Recursive Specifications with Static Localities
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4.3.2 Recursive Definition and Specification Principles with Static Localities
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4.3.3 Approximation Induction Principle with Static Localities
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4.4 Silent Step and Abstraction with Static Localities
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4.4.1 Guarded Linear Recursion with Static Localities
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4.4.2 Algebraic Laws for the Silent Step with Static Localities
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4.4.3 Abstraction with Static Localities
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Chapter 5 Hybrid Process Algebra
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5.1 Truly Concurrent Semantics
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5.2 Hybrid BATC
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5.2.1 Axiom System of Hybrid BATC
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5.2.2 Properties of Hybrid BATC
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5.2.3 Structured Operational Semantics of Hybrid BATC
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5.3 Hybrid APTC
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5.3.1 Properties of Parallelism of Hybrid APTC
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5.3.2 Structured Operational Semantics of Parallelism of Hybrid APTC
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5.3.3 Encapsulation of Hybrid APTC
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5.4 Recursion of Hybrid APTC
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5.4.1 Guarded Recursive Specifications
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5.4.2 Recursive Definition and Specification Principles of Hybrid APTC
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5.4.3 Approximation Induction Principle of Hybrid APTC
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5.5 Silent Step and Abstraction of Hybrid APTC
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5.5.1 Guarded Linear Recursion of Hybrid APTC
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5.5.2 Algebraic Laws for the Silent Step of Hybrid APTC
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5.5.3 Abstraction
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5.6 Application of Hybrid APTC in Modeling Neural Networks
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5.6.1 Modeling of Neurons
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5.6.2 Modeling of Neural Networks
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Chapter 6 Hybrid Process Algebra with Localities
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6.1 Locality Semantics
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6.2 Hybrid BATC with Localities
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6.2.1 Axiom System of Hybrid BATC with Localities
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6.2.2 Properties of Hybrid BATC With Localities
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6.2.3 Structured Operational Semantics of Hybrid BATC with Localities
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6.3 Hybrid APTC with Localities
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6.3.1 Properties of Parallelism of Hybrid APTC with Localities
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6.3.2 Structured Operational Semantics of Parallelism of Hybrid APTC with Localities
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6.3.3 Encapsu lation of Hybrid APTC with Localities
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6.4 Recursion of Hybrid APTC with Localities
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6.4.1 Guarded Recursive Specifications of Hybrid APTC with Localities
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6.4.2 Recursive Definition and Specification Principles of Hybrid APTC with Localities
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6.4.3 Approximation Induction Principle of Hybrid APTC with Localities
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6.5 Silent Step and Abstraction of Hybrid APTC with Localities
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6.5.1 Guarded Linear Recursion of Hybrid APTC with Localities
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6.5.2 Algebraic Laws for the Silent Step of Hybrid APTC with Localities
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6.5.3 Abstraction of Hybrid APTC with Localities
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6.6 Application of Hybrid APTC with Localities in Modeling Distributed/Federated Neural Networks
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6.6.1 Modeling of Distributed/Federated Neurons
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6.6.2 Modeling of Distributed/Federated Neural Networks
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Bibliography
更新时间:2024-02-01 14:46:29