Information Dynamics and Control in Generative Cognitive Systems
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Information Theory, Probability and Statistics".
Deadline for manuscript submissions: 15 September 2026 | Viewed by 228
Special Issue Editors
Interests: advanced audio processing and retrieval; computer generated music; machine learning; computational creativity
Interests: computational intelligence; optimal control; information theory; machine learning; intrinsic motivation
Special Issue Information
Dear Colleagues,
Recent advances in cognitive modeling, generative AI, and interactive systems increasingly rely on information-theoretic quantities that are explicitly dynamic, predictive, and directional. Rather than treating information as a static property of representations, these approaches focus on how information is produced, constrained, transmitted, and controlled over time, particularly in systems that learn, act, and generate structured behavior.
This Special Issue focuses on predictive and dynamical information measures, including predictive information, information content (IC), information rate (IR), directed information (DI), and related control-oriented quantities—and their role in generative and interactive systems. The emphasis is on information measures that (i) evolve in time, (ii) support prediction and anticipation, (iii) quantify causal or directional influence, or (iv) are explicitly coupled with control, generation, or action–perception loops.
We invite contributions that develop, analyze, or apply such measures in domains including generative modeling, cognition, communication, sensorimotor behavior, music and language, and autonomous systems. Submissions should go beyond descriptive entropy-based analyses and instead address how information dynamics shape prediction, control, and generation in structured systems.
Contributions should be centered on one or more of the following themes:
- Predictive information and anticipatory structure in dynamical systems;
- Information content (IC), surprisal, and time-local information measures;
- Information rate (IR) and temporal constraints on perception, action, and generation;
- Directed information, causal information flow, and influence between processes;
- Information-to-go, controllable information production, and information-based control;
- Information dynamics in generative models (e.g., music, language, symbolic sequences);
- Surprisal shaping, information curve matching, and controllable generation;
- Action–perception loops analyzed through dynamic information measures;
- Intrinsic motivation and exploration driven by predictive or directed information;
- New information measures explicitly designed for temporal, generative, or interactive systems.
Submissions that focus solely on static entropy, mutual information without temporal structure, or general information-theoretic descriptions of cognition without a dynamic or generative component fall outside the scope of this Special Issue.
Prof. Dr. Shlomo Dubnov
Dr. Stas Tiomkin
Dr. Stefan Lattner
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- information dynamics
- predictive information
- directed information
- generative systems
- interactive systems
- cognitive modeling
- control-oriented information
- temporal information measures
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