This book presents a comprehensive framework for understanding memes as dynamic, evolving systems that operate at the intersection of cognition, culture, and technology, establishing Theoretical Meme Architecture and Theoretical Meme Image Structure Architecture (T-MISA) as unified scientific disciplines. It begins by defining memes as structured units of cultural information and explores how they are processed within the human brain, emphasizing attention, perception, emotion, and memory as core mechanisms that determine memetic success. Building on this foundation, the book develops mathematical and computational models that describe how memes propagate through networks, interact with algorithmic systems, and evolve through processes such as variation, selection, and recombination. It further examines the structural composition of memes, particularly visual memes, analyzing how elements like imagery, text, symbolism, and composition interact to create meaning and influence cognition, ultimately framing memes as engineered information systems rather than random artifacts.

Expanding beyond structure and cognition, the book situates memes within complex ecosystems shaped by social behavior, platform dynamics, and technological mediation, highlighting how factors such as algorithms, influencers, feedback loops, and cross-platform migration govern visibility and spread. It explores the psychological and societal impact of memes, including identity signaling, persuasion, cognitive biases, and the role of emotion in driving engagement, while also addressing challenges such as misinformation and ethical considerations in memetic design. The later sections integrate these insights into applied frameworks for memetic engineering, including principles for designing, optimizing, and ethically managing memes in digital environments, as well as the emerging role of AI in generating and shaping synthetic culture.