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"THE GLOSSARY" shown at other AI exhibition, Lobe Block Berlin in July 2023

ABSTRACTION:
Abstraction is the process of simplifying complex systems by focusing on essential features and ignoring unnecessary details. It enables machines to generalize knowledge, analyze data efficiently, and make informed decisions based on higher-level representations. Abstraction enables us to grasp the essence of something without being overwhelmed by its intricacies. It plays a fundamental role in various disciplines, including computer science, mathematics, art, and philosophy, helping us to better understand and work with complex systems and ideas.

API:
API stands for Application Programming Interface, which is a set of rules and protocols that allows different software applications to communicate and interact with each other. It provides a defined way for developers to access and utilize the functionalities and data of a particular software or service without needing to understand its underlying implementation details.

ARTIFICIAL INTELLIGENCE:
Artificial intelligence (AI) refers to the development of computer systems or machines that can perform tasks typically requiring human intelligence, such as visual perception, speech recognition, problem-solving, and decision-making. AI involves the creation of algorithms and models that enable machines to learn from data, adapt to new inputs, and make autonomous decisions or predictions. AI has applications in various fields and aims to mimic human cognitive abilities.

ARG:
An ARG, or Alternate Reality Game, is an interactive form of entertainment that blurs the line between the real world and a fictional narrative. Players engage in a combination of online and offline activities to solve puzzles, uncover clues, and progress the game's storyline.

AUGMENTED VIRTUALITY:
Augmented virtuality layering is a concept that combines elements of virtual reality and augmented reality to create an immersive experience. It involves overlaying virtual objects or information onto a real-world environment, enhancing the user's perception and interaction with the physical world.

AUTONOMOUS:
Autonomous refers to the ability of a system or entity to operate and make decisions independently, without requiring direct human intervention or control. It implies self-governance and the capability to perform tasks, make choices, and adapt to changing circumstances based on its own internal processes and programming.

BLOCKCHAIN:
Blockchain is a decentralized and distributed digital ledger that records and verifies transactions across multiple computers or nodes. It allows for secure, transparent, and immutable storage of data, enabling trust and eliminating the need for intermediaries in various applications such as cryptocurrencies, supply chain management, and smart contracts.

COMPUTER VISION:
Computer vision refers to the field of artificial intelligence and computer science that focuses on enabling computers to understand and interpret visual information from digital images or video. It involves developing algorithms and techniques to extract, analyze, and comprehend visual data, allowing machines to perform tasks such as object recognition, image classification, and scene understanding.

COMPUTER-HUMAN SYMBIOSIS:
Computer-human symbiosis refers to the mutually beneficial partnership between humans and computers. It involves integrating technology with human cognition to enhance efficiency, problem-solving, and productivity. By combining the strengths of both, such as computational power and human creativity, symbiosis amplifies intelligence and facilitates seamless collaboration in various domains. It aims to create a harmonious relationship where humans leverage technology while maintaining ethical considerations and human values.

DAO:
A decentralized autonomous organization (DAO) is a self-governing entity that operates using smart contracts and blockchain technology. It enables decentralized decision-making, eliminating the need for a central authority. DAOs are transparent, tamper-resistant, and facilitate activities like decentralized finance and governance.

DATA SET:
A data set is a collection of structured or unstructured data used for analysis and processing. It contains related data points and serves as a basis for deriving insights and making informed decisions.

DECENTRALIZATION:
Decentralization means distributing power and control across a network instead of relying on a central authority. It promotes transparency, resilience, and autonomy in systems and technology.

DEEP LEARNING: 

Deep learning is a type of machine learning that uses neural networks to learn and make decisions without explicit programming. It enables machines to autonomously learn and extract high-level abstractions from raw data, allowing for more sophisticated and accurate predictions, classifications, and decision-making and is composed of multiple layers of interconnected nodes which process and extract meaningful representations from complex data.

EXPERT SYSTEMS:
Expert systems are computer-based programs that mimic the decision-making abilities of human experts in specific domains. They utilize knowledge, rules, and inference mechanisms to solve complex problems, provide advice, or make decisions in a specialized area. Expert systems capture and represent expert knowledge in a structured format and use it to reason, analyze data, and generate recommendations or solutions. They are designed to assist users by providing expertise and guidance, particularly in areas where human expertise is valuable but scarce or expensive to access.

FRACTAL THEORY:
Fractal theory studies patterns that repeat at different scales, revealing intricate and self-similar structures found in nature and mathematics. It explores the concept of self-similarity, where a smaller part of an object resembles the larger whole. Fractal theory has applications in various fields, including computer graphics, data compression, image processing, and modeling natural phenomena. It provides a way to mathematically describe and generate complex shapes and patterns, offering insights into the underlying principles of complexity and the inherent beauty of natural forms.

FUZZY LOGIC:
Fuzzy logic is a mathematical framework that allows for flexible reasoning and decision-making in situations with imprecision or uncertainty. It assigns degrees of truth to statements or variables, accommodating gradual and nuanced reasoning.

GENETIC ALGORITHMS:
Genetic algorithms are optimization algorithms inspired by natural selection. They use a population of potential solutions and evolve them over generations through selection, crossover, and mutation operations to find optimal or near-optimal solutions to complex problems.

GUILD:
Guilds are often found in multiplayer online games, virtual worlds, or social platforms like Discord. Guilds provide a sense of community and belonging, allowing individuals to connect with like-minded people, seek advice, share experiences, and build relationships in a virtual environment. They offer opportunities for collaboration, learning, and socialization, fostering a sense of camaraderie among members.

HOLOVERSE:
The idea of a holoverse could envision a metaverse that incorporates holographic technology, allowing users to interact with virtual objects or entities projected as three-dimensional holograms in their physical space. This could create a more immersive and realistic experience within the metaverse by leveraging holographic displays or projection systems.

INTEROPERABILITY:
Interoperability refers to the ability of different systems or entities to work together and exchange information smoothly and effectively, without compatibility issues or restrictions.

IP PROTECTION:
IP protection refers to the legal measures taken to secure exclusive rights to inventions, creative works, or business information. It ensures that individuals and organizations can control and benefit from their intellectual property, preventing unauthorized use or infringement.

MACHINE LEARNING:
Machine learning is a branch of artificial intelligence that enables computers to learn from data and make predictions or decisions without explicit programming. It involves training algorithms on data to recognize patterns and perform tasks, leading to applications like image recognition and recommendation systems.

METAVERSE:
The metaverse refers to a virtual universe or interconnected network of virtual worlds that people can access and interact with. The concept of the metaverse is often associated with a fully immersive and interactive digital environment where users can explore, create, trade, and collaborate with others. It goes beyond individual virtual reality experiences or specific online games by aiming to create a shared, persistent, and evolving virtual world that spans multiple platforms and applications. The metaverse has the potential to transform how we interact, work, learn, and entertain ourselves. It could enable virtual economies, virtual communities, and new forms of communication and expression. However, the realization of a fully realized metaverse is still an ongoing technological and cultural development, with many challenges and considerations to address.

MTURK:
MTurk, or Amazon Mechanical Turk, is an online platform where businesses and researchers can outsource small tasks to remote workers for a fee. It connects people who need human intelligence tasks done with workers who complete them for payment. It serves as a crowdsourcing platform for completing tasks that are difficult for computers but relatively easy for humans, such as data annotation, image categorization, content moderation, or survey participation.

NATURAL LANGUAGE PROCESSING:
Natural Language Processing (NLP) is a branch of artificial intelligence that focuses on enabling computers to understand, interpret, and generate human language. It involves developing algorithms and techniques for tasks like language translation, sentiment analysis, and text summarization. NLP finds applications in chatbots, virtual assistants, and other language-based systems.

NEURAL NETWORK:
A neural network is a computational model inspired by the brain, composed of interconnected artificial neurons. It learns from data through training, adjusting weights to recognize patterns and make predictions. Neural networks excel in tasks like image recognition and natural language processing, powering advancements in AI.

NON-LINEAR:
Non-linear refers to a type of storytelling or narrative structure that does not follow a linear, chronological order. It can involve flashbacks, multiple timelines, or parallel storylines that are presented out of order or in a non-sequential way.

ON-CHAIN:
On-chain refers to activities or data that occur directly within a blockchain network, including transactions and smart contracts. It ensures transparency, security, and decentralization by storing information on the blockchain's distributed ledger.

ONLINE COMMUNITY:
An online community is a group of people who connect and interact through digital platforms based on shared interests or goals. It provides a virtual space for communication, collaboration, and relationship-building. See ‘guild’.

PROTOCOL:
A protocol is a set of rules that govern how data is transmitted and communicated between devices or systems. It defines the format, order, and behavior of messages or signals to ensure smooth and standardized communication. Protocols serve as a common language or framework that enables interoperability and reliable communication between different components or systems. They specify how data is packaged, addressed, transmitted, and received, as well as how errors or conflicts are handled. Common examples of protocols include the Internet Protocol (IP) for routing and addressing data packets on the internet, the Transmission Control Protocol (TCP) for reliable and ordered transmission of data, and the Hypertext Transfer Protocol (HTTP) for communication between web browsers and servers.

QUANTUM COMPUTING:
Quantum computing is a field of computer science that utilizes principles from quantum physics to perform computations. Unlike classical computers that use bits to represent information as either 0 or 1, quantum computers use quantum bits, or qubits, which can exist in superposition, representing both 0 and 1 simultaneously. By leveraging this quantum superposition and other quantum phenomena like entanglement, quantum computers have the potential to solve certain problems more efficiently than classical computers. They can perform complex calculations, optimize large-scale systems, and simulate quantum systems that are beyond the capabilities of classical computers. This has the potential to revolutionize fields such as cryptography, optimization, drug discovery, and materials science. However, it is still a rapidly evolving field with challenges in scaling up qubit numbers, reducing error rates, and maintaining coherence.

REINFORCEMENT LEARNING:
Reinforcement learning is a type of machine learning where an agent learns to make decisions by interacting with an environment and receiving rewards or penalties. It aims to maximize cumulative rewards over time by adjusting its actions based on feedback.

SAAS:
SaaS, or Software as a Service, is a software delivery model where applications are accessed and used over the internet as a subscription service. Users don't need to install or manage the software themselves.

SEQUENCING:
Sequencing is the process of arranging elements or events in a specific order based on a defined criterion or rule. It is used in various domains to establish logical flows and organize information effectively.

SONIC NARRATIVE:
Sonic narrative refers to using sound and audio elements to tell a story. It involves crafting immersive auditory experiences through sound effects, dialogue, and music to convey characters, emotions, and events.

TANGLED WEB:
The phrase "tangled web" is often used metaphorically to describe a complex and interconnected situation or a web of intricate and interconnected relationships. It implies a state of confusion, complexity, or entanglement where the various elements or factors are closely intertwined and difficult to unravel or understand. The term suggests a situation where actions or events have created a complicated and challenging scenario with multiple interdependencies and potential consequences.

THE SINGULARITY:
The Singularity refers to a hypothetical future point where technological progress reaches a stage of rapid and uncontrollable advancement, potentially leading to machines surpassing human intelligence and capabilities. It is a concept that sparks speculation and debate about the future impact of technology on society.

TOKENOMICS:
Tokenomics refers to the economic principles and rules that govern the creation, distribution, and use of tokens within a blockchain network or cryptocurrency ecosystem. It involves designing incentives, utility, and governance structures to ensure the token's value and promote a healthy and sustainable ecosystem.

TOOLS:
In a digital context, tools are software applications or online resources that help users perform specific tasks or achieve particular goals. They include productivity, creative, communication, and specialized software designed to streamline operations and enhance efficiency in various areas of work and life.

WEB 2.0:
Web 2.0 refers to the shift from passive web browsing to active user participation and collaboration. It includes social media, user-generated content, and interactive web applications that foster engagement and community building.

WEB 3.0:
Web 3.0 refers to the next generation of the internet, focusing on intelligent machines, data interoperability, decentralization, and enhanced user experiences. It aims to create a more connected, intelligent, and decentralized web environment.

WEB 4.0:
Web 4.0 is a speculative term that does not have a widely accepted definition. It refers to potential future developments beyond Web 3.0, but its characteristics and concepts are not clearly defined at this time. However, it's worth noting that the evolution of the web is not linear, technology continues to evolve rapidly, and new paradigms and advancements may emerge in the future that could be labeled as Web 4.0.

XR:
XR, or Extended Reality, refers to immersive technologies like virtual reality (VR), augmented reality (AR), and mixed reality (MR) that blend real and virtual environments for interactive experiences.

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