Complex Computational Ecosystems: First International Conference, CCE 2023, Baku, Azerbaijan, April 25–27, 2023, Proceedings (Lecture Notes in Computer Science, 13927)

Preface
Organization
Keynotes
	Volatile Multiple Smart Systems Network
	Complex Systems and Epidemic Modeling
	A Diachronic Epistemology of Complex System
	Method Based on Alpha-Level Fuzzy Model to Efficiently Process Z-Numbers in Business Applications
	Contents
Symbolic Artificial Intelligence
Automation of User Interface Testing by Reinforcement Learning-Based Monkey Agents
	1 Introduction
	2 Related Work
	3 Test Bed
	4 Problem and Algorithm Description
	5 Experiments
	6 Conclusion
	References
New Siamese Neural Networks for Text Classification and Ontologies Alignment
	1 Introduction
	2 Related Work
		2.1 Ontology Alignment and Semantic System
		2.2 Matching System and Background Knowledge for Alignments
	3 Transformers
		3.1 Pre-trained Language Models
		3.2 Siamese Models
	4 Proposed Models: BioStransformers and BioS-MiniLM
	5 Models Evaluation by NLP Tasks
		5.1 Experiments
		5.2 Results
	6 Ontology Alignment
	7 Ontology Alignment with BioSTransformers
		7.1 The Pre-processing Phase
		7.2 The Matching Phase
		7.3 The Merging Phase
	8 Conclusion
	References
Theorizing, Modeling and Visualizing Business Ecosystems. What Should Be Done?
	1 Introduction
	2 Related Work
	3 Towards a Theory of Ecosystems
		3.1 Modularity
		3.2 Complementarity
		3.3 Ecosystem Definitions and Relation to Platforms
	4 Modeling and Analysis of Dependencies: Dependency Matrix, Simplicial Complexes and Hypergraphs
		4.1 Dependency Matrix
		4.2 Simplicial Complexes
		4.3 Hypergraphs
	5 HYPE, a Tool to Compute Simplicial Complexes and Hypergraphs
	6 Application: From Dependence Matrices to Hypergraphs
	7 Perspectives: Computational Modeling of Business Ecosystem Dynamics
	References
Machine Learning, Artificial Evolution and Genetic Programming
A Comparative Study of YOLO V4 and V5 Architectures on Pavement Cracks Using Region-Based Detection
	1 Introduction
	2 Related Works
		2.1 Region-Based Computer Vision Algorithms
		2.2 Evolution of YOLO Algorithm
		2.3 Implementation of YOLO Algorithm on Crack Detection
	3 Comparison Methodology
		3.1 Pavement Crack Datasets
		3.2 Image Augmentation
		3.3 Configuration of YOLOv4 and YOLOv5 Architectures
	4 Experimental Results
		4.1 Experimental Conditions
		4.2 Scoring Methods
		4.3 Results and Interpretation
	5 Conclusion
	References
Evolutionary Reduction of the Laser Noise Impact on Quantum Gates
	1 Introduction
	2 Related Works
	3 Problem Definition
		3.1 Context
		3.2 Mathematical Model
		3.3 Values of Interest and Input Parameters
	4 Proposed Method
	5 Experimental Analysis
		5.1 Experimental Design
		5.2 Result Analysis
	6 Conclusion
	References
Short Time Series Forecasting Method Based on Genetic Programming and Kalman Filter
	1 Introduction
	2 Related Work
	3 Materials and Method
		3.1 Used Techniques in the Proposed Method
		3.2 Method Description
	4 Experiments and Results
		4.1 Experiments Settings
		4.2 Results and Analysis
	5 Conclusion
	References
Performance Upgrade of Sequence Detector Evolution Using Grammatical Evolution and Lexicase Parent Selection Method
	1 Introduction
	2 Related Work on Digital Circuits Evolution
	3 Grammatical Evolution
	4 Tournament Selection vs Lexicase Selection
	5 Data Set Generation
	6 Experiments and Results
		6.1 Experimental Setup, Tools and Evolutionary Parameters
		6.2 SD Evolution Using Minimum and Increased Length Sequences
	7 Conclusion
	References
Fuzzy Pattern Trees with Pre-classification
	1 Introduction
	2 Background
		2.1 FPTs
		2.2 GE
		2.3 Human in the Loop FPTs
	3 Pre-classification
		3.1 Fitness Functions
		3.2 Black-Box Pre-classifier
	4 Experimental Setup
		4.1 Pre-classification
		4.2 GE Parameters
		4.3 Fitness Function
		4.4 Benchmarks
	5 Results
	6 Conclusion
	References
Agro-Ecological Computational Ecosystems
Models for the Computational Design of Microfarms
	1 Introduction
		1.1 Related Work
	2 A Phenomenological Model for Plant Growth
	3 Simulation of a Micro-farm Using the French Intensive Method
	4 Intercropping Lettuces and Cabbages
	5 A Random Planting Algorithm for Intercropped Lettuces and Cabbages
	6 Discussion
	References
Vegee Brain Automata: Ultradiscretization of Essential Chaos Transversal in Neural and Ecosystem Dynamics
	1 Introduction
	2 Ultradiscretization of Logistic Models
		2.1 Ultradiscretization of the Logistic Equation
		2.2 Ultradiscretization of the Neuron Model with a Sigmoid Function
		2.3 Analogy Between Neural Network and Agroecological Dynamics
		2.4 Analysis of the Dynamics in Chaotic Ecological Network
	3 Elementary Ultra-discrete Automaton
	4 Discussion
	5 Conclusion
	References
Modeling Ecosystem Management Based on the Integration of Image Analysis and Human Subjective Evaluation - Case Studies with Synecological Farming
	1 Introduction
	2 Subjective and Inter-Subjective Human Evaluation of a Synecological Farm
	3 Objective Classification of Conventional and Synecological Farms Based on Image Analyses
	4 Integrated Modeling of Ecosystem Management Based on Inter-Subjective Objectivity
	5 Interfaces for Collaborative Robotics
	6 Conclusions
	References
Security for Complex Computing Systems
On the Provision of Network-Wide Cyber Situational Awareness via Graph-Based Analytics
	1 Introduction
	2 Background Information and Related Work
		2.1 Tooling and Perception of the Cyber Environment
		2.2 Comprehension and Knowledge Building
		2.3 Existing Surveys
	3 Selected Cyber Security Tasks Using Graph-Based Analytics
		3.1 Finding Similar Hosts in Close Proximity by Graph Traversal
		3.2 Vulnerable Asset Discovery via Graph Traversal
		3.3 Network Segmentation via Community Detection and FSM
		3.4 Node Criticality Estimation via Graph Centrality
	4 Open Issues and Challenges
		4.1 Need to Learn a New Paradigm
		4.2 Dataset
		4.3 Unified Ontology
		4.4 Application of Graph Neural Networks and Graph AI
	5 Conclusion
	References
Metrics for Evaluating Interface Explainability Models for Cyberattack Detection in IoT Data
	1 Introduction
	2 State of the Art
		2.1 Trusted AI
		2.2 Explainable AI
		2.3 Explainability for Cybersecurity in IoT Data
	3 Metrics for Evaluating the Quality of Interface Explainability Models
	4 Datasets and Implementation
	5 Evaluation
	6 Discussion
	7 Conclusions and Perspectives
	References
Education Computational Ecosystems
Machine Learning Model Applied to Higher Education
	1 Introduction
	2 State of the Question
	3 Methodology
	4 Information Dataset
	5 Machine Learning Techniques
	6 Results
	7 Conclusion
	8 Future Works
	9 Discussion
	References
Satellite and Climate Ecosystems
Modeling El Niño and La Niña Events Using Evolutionary Algorithms
	1 Introduction
	2 Data and Methodology
		2.1 Data
		2.2 Methodology
		2.3 Statistics
	3 Results and Discussion
		3.1 El Niño Results
		3.2 La Niña Results
	4 Conclusion
	References
Geosphere Computational Ecosystems
Estimation of Seismic Phase Delays Using Evolutionary Algorithms
	1 Introduction
	2 Data and Methodology
		2.1 Seismograms and Phase Delay
		2.2 Phase Delay Measurement with Discrete Fourier Transform
		2.3 Evolutionary Algorithms
		2.4 Description of the Proposed Algorithm
	3 Results and Discussion
		3.1 Physical Interpretation of the Results
		3.2 Discussion
	4 Conclusion
	References
Author Index