Connectionists: Distributed Artificial Brains (DAB), at the IEEE Symposium on Computational Intelligence for Human-like Intelligence (IEEE CIHLI)
Wlodek Duch
wduch at umk.pl
Fri Jun 16 11:15:52 EDT 2023
*Distributed Artificial Brains (DAB), at the IEEE Symposium on
Computational Intelligence for Human-like Intelligence (IEEE CIHLI)*
This year a lot of exciting new development in artificial intelligence
have been introduced, leading to systems that have superhuman abilities
in many domains. Large language models (LLMs) based on Generative
Pretrained Transformers achieved a surprisingly high level of
competence. Many enhancements have been proposed, giving these models
multimodal capabilities, visual question answering, emergent abilities,
such as the theory of mind, and the creation of inner images. The
addition of algorithms that enable reflection, iterative prompting for
self-improvement, chains and trees of thought, autoGPT mode,
explanation-based learning, and many other exciting developments make
the functioning of these models increasingly similar to the high-level
brain processes.
The ability to use specialized plugins gives the LLMs great power of
using tools to realize planned actions, making these systems a kind of
Distributed Artificial Brains (DAB). It seems that the conscious-like
behavior of such models is inevitable. IEEE Symposium on Computational
Intelligence for Human-like Intelligence will be a great place to
discuss the latest development in all facets of human-like intelligence,
both in theory and practice. We are especially interested in submissions
discussing further developments of LLMs and relation to the brain
processes, and identification of qualities that may lead to a higher
level of intelligence.
*Other topics*
The CIHLI organizers invite submissions of original previously
unpublished innovative research in any topic related to practical and
theoretical aspects of human-like intelligent behavior including, but
not limited to:**
·Models and architectures, including cognitively-plausible architectures
and systems for human-like intelligence and humanized computing in
theory and practical applications
·Problem solving based on nature, heuristic, intuition, creativity,
insight, curiosity and imagination
·Theory and application of deep learning, reinforcement learning,
autonomous learning, transfer learning and active learning
·Theory and application of evolutionary, heuristics and bio inspired
algorithms, neural networks, fuzzy logic, rule based systems and their
hybrid constructions
·Theoretical and practical aspects of future generation computing models
and paradigms
·Ambient intelligence and human-like intelligence in image processing,
pattern recognition, expert systems, engineering problems, data mining
and optimization for industry, finance, transport, logistics, economy,
manufacturing, security, games, IoT, VR, healthcare, science, and other
domains.
IEEE Symposium on Computational Intelligence for Human-like Intelligence
(IEEE CIHLI) - SSCI 2023
<https://attend.ieee.org/ssci-2023/ieee-symposium-on-computational-intelligence-for-human-like-intelligence-ieee-cihli/>
Wlodzislaw Duch (NCU), Jacek Mandziuk (WUT), Marcin Wożniak (SUT)
<https://www.is.umk.pl/~duch/>
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