Call for Papers and Talks
Greetings! We are delighted to invite you to present and/or publish your work at the BICA*AI 2025 conference!
More generally, submissions of papers and talk abstracts are expected in all domains of science and technology that directly or indirectly may help us to make an advance toward the BICA Challenge. Specifically, submissions in the following areas are expected.
Artificial Intelligence:
Cognitive Science:
Creativity, goal reasoning and autonomy in artifacts
Embodied vs. ambient intelligence
Language capabilities and social competence
Learning by reading, by observation, by reasoning and analogy
Robust and scalable machine learning mechanisms
Self-regulated learning, bootstrapped and meta-learning
The role of emotions in artificial intelligence and their BICA models
Tests and metrics for BICA in the context of the BICA Challenge
Perception, reasoning, decision making and action in BICA
Combining natural and artificial approaches to cognition
Comparison of different forms of learning and memory
Theory-of-Mind, episodic and autobiographical memory in cognitive systems
Introspection, metacognitive reasoning and self-awareness in BICA
Models of learning and memory: robustness, flexibility, transferability
Natural language and its role in intelligence, cognition and interaction
Unifying frameworks and constraints for cognitive architectures
Social, Economic and Educational Sciences:
Neuroscience:
Mixed-initiative systems based on inspirations from studies on brain and mind.
Agents possessing human-level social and emotional intelligence
BICA in learning and tutoring technologies and education
BICA models of self and their application to perception and action
Representation, perception, understanding and expression of emotions
Virtual characters, artificial personalities and human-compatibility
Agent-based modeling of intelligent social phenomena
Bridging the gap between artificial and natural information processing
Cognitive and learning mechanisms informed by neuroscience
Neural correlates of cognitive and meta-cognitive processes
Robustness, scalability and adaptability in neuromorphic systems
Neurophysiological underpinnings and implications of deep learning models
Physiological mechanisms of memory formation and (re)consolidation
Representation of contextual and conceptual knowledge in neural systems
General:
Mathematical basis for BICA and fundamental theoretical questions in BICA research
Alternative substrates for implementation of BICA: smart materials, neuromorphic, quantum and biocomputing
Alternative approaches to the development of BICA such as: evolutionary, system-theoretic, educational
Fundamental practical and theoretical questions in BICA research and technology
Cognitive Decathlon and Grand Challenges for BICA as components of the BICA Challenge
Critical mass for a universal human-level learner and a roadmap to the BICA Challenge
Metrics, tests, proximity measures and the roadmap to human-level / human-compatible AI
Leveraging the cloud, world-wide-web, and social-media: possible role for BICA in big data?
Interdisciplinary research opportunities and ideas for new initiatives
International trends in funding of BICA research
Design of neuromorphic circuits
AI systems for assistance to the elderly or people with disabilities