Call for Papers and Talks

We solicit submissions of papers and abstracts of all categories in all domains of science and technology that directly or indirectly may help us to make an advance toward the BICA Challenge, which is to implement the top essential functionality of the human mind in a machine. Specifically, submissions in the following areas are expected.

With the scope of BICA 2017 covering all areas of BICA-related research listed below, the major thrusts will be determined by your submissions. In addition to these focus topic areas of BICA 2017, we encourage submission of papers in all areas of BICA research, especially in the following areas.

Spotlight:

The intended spotlight is on BICA models of creativity, artificial social-emotional intelligence, active human-like learning, cognitive growth by learning of big volumes of data, narrative intelligence and true intelligent autonomy in artifacts. However, the major thrusts of this conference will be determined by your submissions.

Artificial Intelligence:

• 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

Cognitive Science:

• 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

Neuroscience:

• “B” in BICA: useful biological constraints for cognitive architectures
• 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

Social, Economic and Educational Sciences:

• Mixed-initiative systems based on inspirations from biology
• 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

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