Humans gain profound insights into behavior through fiction, which reflects real-life cognitive and emotional processes. This seminar examines how fiction aids in understanding and predicting human behavior by analyzing characters' actions and interactions. By applying cognitive psychology concepts—such as decision-making theories and emotional intelligence—we reveal how characters' behaviors mirror real-life processes. Sociological frameworks highlight how social contexts shape character interactions, while traditional literary analysis and narrative theory assess the impact of narrative structures. Modern computational methods, including frequency and sentiment analysis, uncover patterns in extensive literary datasets. This multifaceted approach provides a nuanced understanding of character actions across various literary contexts. The seminar is organized into four key areas: 1) Unveiling Human Patterns through Literature: Identifying universal psychological patterns through motifs and archetypes to aid behavior prediction and mental rehearsal, and fostering empathy through ethical dilemmas. 2) Understanding Character Dynamics: Utilizing cognitive psychology, sociological frameworks, network analysis, NLP, sequence analysis, computational methods, and AI to gain insights into character interactions, decision-making, and narrative complexity. 3) Pattern Recognition and Mental Rehearsal in Fiction: Revealing psychological and cognitive patterns, and facilitating mental rehearsal in fiction, helping readers develop empathy and decision-making skills. 4) Exploring Future Scenarios and Human Behavior through Literary Prediction: Using science fiction and dystopian texts to anticipate future challenges and understand social dynamics. This seminar extends the traditional functions of literature—entertainment and enlightenment—by emphasizing its roles in mental rehearsal and prediction, demonstrating how fiction can anticipate and elucidate human behaviour patterns.