Oscar

Pentagram (Video Game)

Hybrid Intelligent System Design by Fusion of Soft Computing Models

In this book, intelligent system design by fusion of soft computing models, such as fuzzy logic, neural networks and optimization algorithms, as well as their hybridizations are outlined. In addition, the utilization of the above-mentioned methods in application areas such as, control and robotics, pattern recognition, medical diagnosis, decision-making, time series prediction and optimization of complex problems, are presented. Recently, the main topics of this book are highly relevant, as most of the intelligent systems and their hardware implementations in use today, manifest some form of intelligent feature to enhance their performance. There are a group of papers with the main theme of type-1, type-2 and type-3 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1, type-2 and type-3 fuzzy logic and their applications. There is also a set of papers that offer theoretical concepts and applications of meta-heuristics in different areas. There are also some papers that present theory and practice of neural networks in different applications. Finally, there are papers that offer theory and practice of optimization and evolutionary algorithms in different application areas.

Penguin Software

Penguin Software was a video game publisher from Geneva, Illinois that produced graphics software and games for the Apple II, Macintosh, IBM, Commodore 64, Amiga, Atari 8-bit, and Atari ST computers. They are mostly known for their graphics programs Graphics Magician and Complete Graphics System, graphic adventure games such as the Transylvania series, arcade-style games like Spy's Demise, and role-playing video games such as Xyphus. The company was founded in 1978 by Mark Pelczarski but adopted the name of "Penguin Software" only in 1981.

1. Erik Cuevas
2. Óscar A. González-Sánchez
3. Fernando Vega-Parra

Inside Metaheuristics

This book provides a comprehensive and structured exploration of the fundamental mechanisms that govern metaheuristic optimization methods. Rather than cataloging existing algorithms, it focuses on the building blocks—the operators and strategies—that enable metaheuristics to efficiently navigate complex search spaces. By analyzing the principles of exploration, exploitation, and their dynamic interaction, the book reveals how the balance between these processes determines algorithmic performance, convergence, and robustness. The book introduces the theoretical foundations of optimization and the architecture common to most metaheuristic algorithms. Readers are guided through the core concepts of search space analysis, stochastic behavior, and the general structure shared by population-based methods. This foundation prepares the ground for a detailed examination of how exploration and exploitation operate as complementary forces within optimization processes. Exploration operators—such as randomization, chaotic dynamics, opposition-based learning, and mutation—are presented as tools for promoting diversity and global discovery. The authors then focuse on exploitation, examining how greedy selection, local refinement, leader-based attraction, and adaptive step-size control enhance convergence toward high-quality solutions. The discussion subsequently extends to dual-role operators that integrate both behaviors, including crossover and hybrid recombination, demonstrating how they dynamically shift between global and local search depending on the problem landscape. The final chapters synthesize these ideas to show how combinations of operators can be strategically designed to create hybrid and adaptive metaheuristics. Readers will learn how operator synergy influences performance, how hybrid frameworks can integrate complementary search mechanisms, and how self-adaptive strategies allow algorithms to evolve their own balance between exploration and exploitation.By shifting the focus from individual algorithm names to the mechanisms that make them work, this book provides a unified framework for understanding, comparing, and designing metaheuristic methods. It equips readers with the conceptual tools to analyze the internal dynamics of optimization processes and to construct their own customized search strategies for complex real-world problems. Written in a clear and accessible style, this book is intended for graduate students, researchers, and practitioners in computer science, engineering, and applied mathematics who wish to deepen their understanding of metaheuristic design principles and develop more efficient, adaptive optimization algorithms.

Artificial Intelligence and Quantum Computing: Early Innovations. Volume 2

This book extends the first volume with contributions that advance the state of the art and demonstrate their impact in real-world applications. In a few years, the convergence of artificial intelligence (AI) and quantum computing has moved from speculation to concrete prototypes and tools. Key Highlights• Health and Precision Medicine: Deep learning and hybrid quantum–classical models support osteoporosis screening from dental radiographs, Alzheimer’s staging with 3D MRI, EEG-based cognitive-state assessment, and HIV/TB biomarker classification, strengthening prevention, diagnosis, and personalized treatment.• Education, Human–AI Interaction and Fairness: An automatic reviewer of handwritten flowcharts scales feedback in programming courses, while a benchmarking study on speaker ID and gender recognition analyzes bias; quantum granular computing provides a Hilbert-space framework for advanced teaching and research.• Sustainable Production, Cities, and Environment: Vision systems for welding defects, cucumber disease detection, and analogue water-meter digitization improve manufacturing quality, reduce food waste, and enable transparent water management, alongside work on electric fleets, mobile robots, and sea turtle monitoring.• Data-Centric and Trustworthy AI for the Digital Economy: GAN-based synthetic tabular data, decision-support for cryptocurrency markets, and benchmarks for intrusion detection and malware classification offer tools for scarce or volatile data, with emphasis on robustness, interpretability, and reproducible evaluation.• Quantum Algorithms, Hardware and Software Infrastructure: Chapters address quantum optimization (QAOA, adiabatic 3-SAT), quantum error correction and superconducting devices, plus experimental QKD, while a C-to-QIR compiler and quantum granules framework provide software and conceptual support for hybrid systems.•Optimization and Intelligent Systems: Fuzzy fractal search and fuzzy dragonfly metaheuristics optimize neural architectures and controllers and, together with dynamic hypernetworks and RL-based fleet planning, show how advanced optimization can be embedded in practical engineering workflows.This book is aimed at researchers, graduate students, and practitioners seeking rigorous, application-oriented work at the AI–quantum interface. By linking methodological advances with SDG-aligned use cases in health, education, infrastructure, energy, and security, it offers a concise blueprint for how quantum-aware intelligent technologies can support more resilient and sustainable societies.

Roland Virtual Accordion

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. The Roland Virtual Accordion is the world's first electronic instrument to use Physical Behaviour Modelling (PBM) to simulate a wide range of acoustic instruments, including many musettes, bandoneon, concertina, and other ethnic accordions and melodeons. It also features a range of Orchestral instruments, all of which respond to the bellows movements, etc.Manufactured by the Roland Corporation, the V-Accordion, which was released in 2004, comes in two models- The FR-5 and the FR-7. The FR-7 features built-in battery-powered amplifiers and speakers, making it independent of mains power. The FR-5 is identical, except it lacks the internal speakers. The operating system within the instruments is upgradeable through the extensive MIDI features. The V-Accordion is the result of some 7 years development by a Roland Europe team based in Italy.