Adam Sobieski is an experienced researcher, developer, entrepreneur, and consultant. His research interests span disciplines and include artificial intelligence, narratology, and the digital history of ideas.

He is interested in applications of artificial intelligence to education and to the acceleration of scholarly and scientific progress and achievement.

He is interested in artificial-intelligence safety, the alignment problem, machine ethics, moral enhancement, legal informatics, legal information retrieval, and computational law.

Generalization of learning involves the use of past learning by an agent if the conditions in a new situation are regarded as being similar. Transfer of learning occurs when agents apply information, strategies, and skills they have learned in one context to a new one.

Abstraction and generalization across both experiences and narratives are topics of interest. So too are blending and other reasoning processes pertaining to these.

Modeling systems and environments at multiple levels of abstraction simultaneously, with respect to both mental models and computer-simulation models, are topics of interest.

Both the unpredictability and predictability of games and gameplay are topics of interest, in particular the modeling of contexts, players, and formal and naturalistic decision-making processes.

The nature of specificity and genericity with respect to forecasts and prediction-making, in general, are topics of interest.

Multiple-text comprehension results from the processes and strategies with which readers make sense of complex topics or issues based on the information presented across multiple texts. These processes and strategies are necessary when readers encounter multiple challenging, conflicting documents on complex issues.

Synthesis writing is a set of processes and strategies through which the contents of multiple texts can be integrated into resultant output texts.

The history of ideas is the study of the history of human thought and of intellectuals, people who conceptualize, discuss, write about, and concern themselves with ideas.

Subtopics of interest include the computational modeling of diachronic semantics, conceptual change occurring over the course of time, and the design and development of digital humanities tools and technologies.

Tools and technologies which can enhance our understanding of the history of ideas can help individuals to obtain a better understanding of the present and futures of ideas.