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Evolutionary Computing for Architecture Optimization
This chapter introduces the basic concepts and notation of evolutionary algorithms, which are basic search methodologies that can be used for... -
Intuitionistic and Type-2 Fuzzy Logic
We describe in this chapter two new areas in fuzzy logic, type-2 fuzzy logic systems and intuitionistic fuzzy logic. Basically, a type-2 fuzzy set is... -
Face Recognition with Modular Neural Networks and Fuzzy Measures
We describe in this chapter a new approach for face recognition using modular neural networks with a fuzzy logic method for response integration. We... -
Unsupervised Learning Neural Networks
This chapter introduces the basic concepts and notation of unsupervised learning neural networks. Unsupervised networks are useful for analyzing data... -
Technology-Aware Enterprise Modeling: Challenging the Model-Driven Architecture Paradigm
We propose a holistic design approach that extends a traditional Model Driven Architecture paradigm with the bottom-up constraint analysis and... -
Evaluating Large Language Models in Process Mining: Capabilities, Benchmarks, and Evaluation Strategies
Using Large Language Models (LLMs) for Process Mining (PM) tasks is becoming increasingly essential, and initial approaches yield promising results.... -
Multi-agent Simulation of Intelligent Energy Regulation in Vehicle-to-Grid
The vehicle-to-grid feature of today’s electric vehicles suggests using them as batteries for stabilizing the power grid besides using them to... -
Introducing Agile Controllability in Temporal Business Processes
Dynamic controllability is currently regarded as the most adequate notion for checking the temporal correctness of business processes with temporal... -
Aspects of Modeling Human Behavior in Agent-Based Social Simulation – What Can We Learn from the COVID-19 Pandemic?
Proper modeling of human behavior is crucial when develo** agent-based models to investigate the effects of policies, such as the potential... -
Enhancing Research Clarity: Ontology-Based Modeling of Argumentation in RPML
Navigating the research process, from problem identification to argumentation construction, challenges novice researchers. This study introduces RPML... -
A Hierarchical Knowledge Framework for Digital Twins of Buildings and Their Energy Systems (Position Paper)
This position paper explores applying the Data, Information, Knowledge, Wisdom (DIKW) framework to Digital Twins of buildings and their energy... -
Enhancing Our Understanding of Business Process Model Comprehension Using Biometric Data
Much research has been done on the comprehension and development of conceptual models. In related areas such as linguistics and software engineering... -
Could a Large Language Model Contribute Significantly to Requirements Analysis?
This research-in-progress paper presents a quasi-experiment in which three different ChatGPT-4 prompts (for system structure, analysis, and... -
An Explanation User Interface for a Knowledge Graph-Based XAI Approach to Process Analysis
In consulting practice, effective use of AI technologies presupposes consultant’s and client’s ability to understand generated results. Our knowledge... -
Combining Constraint-Based and Imperative Programming in MABS for More Reliable Modelling
We argue for a combination of declarative/constraint and imperative programming approaches for MABS: a declarative layer that specified the ontology,... -
Enhancing Cognition Through Cooperative Learning and Augmented Mentorship
With increasing cybercrime, educational institutions are working to create increased opportunities for people to enter the cyber workforce. Some... -
Assessment of a Novel Virtual Environment for Examining Cognitive-Motor Processes During Execution of Action Sequences in a Human-Robot Teaming Context
With the development of advanced AI and robotic systems, there is a growing interest in examining human-robot teaming. While the vast majority of... -
Early Use of Augmented Cognition for Online Learning Games in Hawai‘i
This paper provides a historical and regional perspective on the adoption of technologies in online learning, focusing on gamification as an aspect... -
Distance-Based Lifestyle Medicine for Veterans with Chronic Multi-symptom Illness (CMI): Health Coaching as Behavioral Health Intervention for Clinical Adherence
Chronic multi-symptom illness (CMI) is characterized by persistent, difficult to treat symptoms that interfere with daily functioning, affecting... -
Can Neurofeedback Training Decrease Cognitive Bias? An Exploratory Analysis
Cognitive biases are ubiquitous and finding ways to mitigate them has been an ongoing challenge. Here, we explore the possibility that brain training...