Exploring Artificial Consciousness through Data–Information–Knowledge–Wisdom-Purpose (DIKWP) Model
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 30 July 2025 | Viewed by 623
Special Issue Editor
Interests: DIKW; DIKWP; knowledge graph; semantics; AGI
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue is dedicated to advancing the understanding of artificial consciousness through the DIKWP model, which integrates Data, Information, Knowledge, Wisdom, and Purpose (DIKWP). We invite contributions that either apply, critique, or expand upon this model to explore the possibilities and challenges of artificial consciousness across multiple disciplines, including artificial intelligence, cognitive science, neuroscience, and philosophy.
Topics of Interest
Contributions to this Special Issue may include, but are not limited to, the following topics:
Theoretical Foundations of DIKWP in Artificial Consciousness:
- Detailed theoretical explorations of how the DIKWP model can be applied to artificial consciousness.
- Comparative analyses with other models of artificial consciousness, such as computational theories, emergentist approaches, etc.
Empirical and Simulation Studies using DIKWP:
- Empirical research or simulations that utilize the DIKWP framework to create or understand artificial consciousness.
- Case studies showcasing the application of DIKWP in designing conscious AI systems.
Technological Implementations of DIKWP:
- Innovative AI technologies developed based on the DIKWP model.
- Evaluations of AI systems that demonstrate aspects of consciousness as defined by DIKWP components.
Philosophical and Ethical Implications:
- Discussions on the philosophical implications of creating consciousness in AI using the DIKWP model.
- Ethical considerations and societal impacts of artificial consciousness derived from or aligned with the DIKWP framework.
Neuroscientific and Cognitive Insights:
- Studies linking the DIKWP model with neuroscientific findings relevant to consciousness.
- Cognitive science research exploring how DIKWP components interact to produce conscious-like behaviors in AI.
Cross-disciplinary Perspectives on DIKWP:
- Papers that bring together insights from different disciplines to shed light on artificial consciousness through DIKWP.
- Evolutionary perspectives on how DIKWP can be seen as a natural progression towards more complex artificial systems.
Prof. Dr. Yucong Duan
Guest Editor
Manuscript Submission Information
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Keywords
- DIKW
- artificial consciousness
- cognitive science
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