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<div class="moz-forward-container"><b><span style="font-size:12.0pt;
mso-fareast-font-family:"Times New
Roman";mso-bidi-font-family:Calibri;
mso-bidi-theme-font:minor-latin;color:#1C1C24">Distributed
Artificial Brains (DAB), at the IEEE Symposium on
Computational Intelligence for Human-like Intelligence (IEEE
CIHLI)</span></b>
<p class="MsoNormal">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. </p>
<p class="MsoNormal">The ability to use specialized plugins gives
the LLMs great power of using tools to realize planned actions,
making these systems a kind of <span
style="mso-ascii-font-family:Calibri;mso-hansi-font-family:Calibri;
mso-bidi-font-family:Calibri">Distributed Artificial Brains
(DAB)</span>. 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. </p>
<p class="MsoNormal"
style="margin-bottom:15.0pt;line-height:normal;mso-outline-level:
3"><b><span
style="font-size:18.0pt;mso-fareast-font-family:"Times
New Roman";
mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin;color:#1C1C24">Other
topics</span></b></p>
<p class="MsoNormal">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original previously unpublished innovative research in any topic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:<b><span
style="font-size:18.0pt;line-height:107%;color:#1C1C24"></span></b></p>
<p class="MsoListParagraphCxSpFirst"
style="margin-left:18.0pt;mso-add-space:
auto;text-indent:-18.0pt;mso-list:l0 level1 lfo1"><span
style="font-family:Symbol;mso-fareast-font-family:Symbol;mso-bidi-font-family:
Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt
"Times New Roman""> </span></span></span>Models
and architectures, including cognitively-plausible architectures
and systems for human-like intelligence and humanized computing
in theory and practical applications</p>
<p class="MsoListParagraphCxSpMiddle"
style="margin-left:18.0pt;mso-add-space:
auto;text-indent:-18.0pt;mso-list:l0 level1 lfo1"><span
style="font-family:Symbol;mso-fareast-font-family:Symbol;mso-bidi-font-family:
Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt
"Times New Roman""> </span></span></span>Problem
solving based on nature, heuristic, intuition, creativity,
insight, curiosity and imagination</p>
<p class="MsoListParagraphCxSpMiddle"
style="margin-left:18.0pt;mso-add-space:
auto;text-indent:-18.0pt;mso-list:l0 level1 lfo1"><span
style="font-family:Symbol;mso-fareast-font-family:Symbol;mso-bidi-font-family:
Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt
"Times New Roman""> </span></span></span>Theory
and application of deep learning, reinforcement learning,
autonomous learning, transfer learning and active learning</p>
<p class="MsoListParagraphCxSpMiddle"
style="margin-left:18.0pt;mso-add-space:
auto;text-indent:-18.0pt;mso-list:l0 level1 lfo1"><span
style="font-family:Symbol;mso-fareast-font-family:Symbol;mso-bidi-font-family:
Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt
"Times New Roman""> </span></span></span>Theory
and application of evolutionary, heuristics and bio inspired
algorithms, neural networks, fuzzy logic, rule based systems and
their hybrid constructions</p>
<p class="MsoListParagraphCxSpMiddle"
style="margin-left:18.0pt;mso-add-space:
auto;text-indent:-18.0pt;mso-list:l0 level1 lfo1"><span
style="font-family:Symbol;mso-fareast-font-family:Symbol;mso-bidi-font-family:
Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt
"Times New Roman""> </span></span></span>Theoretical
and practical aspects of future generation computing models and
paradigms</p>
<p class="MsoListParagraphCxSpLast"
style="margin-left:18.0pt;mso-add-space:auto;
text-indent:-18.0pt;mso-list:l0 level1 lfo1"><span
style="font-family:Symbol;mso-fareast-font-family:Symbol;mso-bidi-font-family:
Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt
"Times New Roman""> </span></span></span>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.<span
style="mso-bidi-font-family:Calibri;mso-bidi-theme-font:
minor-latin"> </span></p>
<div class="moz-signature"><br>
<span style="color: rgb(0, 0, 0); font-family: Arial, Helvetica;
font-size: medium; font-style: normal; font-variant-ligatures:
normal; font-variant-caps: normal; font-weight: 400;
letter-spacing: normal; orphans: 2; text-align: left;
text-indent: 0px; text-transform: none; widows: 2;
word-spacing: 0px; -webkit-text-stroke-width: 0px;
white-space: normal; text-decoration-thickness: initial;
text-decoration-style: initial; text-decoration-color:
initial; display: inline !important; float: none;"><a
href="https://attend.ieee.org/ssci-2023/ieee-symposium-on-computational-intelligence-for-human-like-intelligence-ieee-cihli/"
moz-do-not-send="true">IEEE Symposium on Computational
Intelligence for Human-like Intelligence (IEEE CIHLI) - SSCI
2023</a> <br>
</span></div>
<div class="moz-signature"><span style="color: rgb(0, 0, 0);
font-family: Arial, Helvetica; font-size: medium; font-style:
normal; font-variant-ligatures: normal; font-variant-caps:
normal; font-weight: 400; letter-spacing: normal; orphans: 2;
text-align: left; text-indent: 0px; text-transform: none;
widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px;
white-space: normal; text-decoration-thickness: initial;
text-decoration-style: initial; text-decoration-color:
initial; display: inline !important; float: none;">Wlodzislaw
Duch (NCU), Jacek Mandziuk (WUT), Marcin Wożniak (SUT)<br>
<br>
</span></div>
<span style="color: rgb(0, 0, 0); font-family: Arial, Helvetica;
font-size: medium; font-style: normal; font-variant-ligatures:
normal; font-variant-caps: normal; font-weight: 400;
letter-spacing: normal; orphans: 2; text-align: left;
text-indent: 0px; text-transform: none; widows: 2; word-spacing:
0px; -webkit-text-stroke-width: 0px; white-space: normal;
text-decoration-thickness: initial; text-decoration-style:
initial; text-decoration-color: initial; display: inline
!important; float: none;"><a href="https://www.is.umk.pl/~duch/"
moz-do-not-send="true"><br>
<br>
</a></span>
<p><br>
</p>
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!important; float: none;"></span><span style="color: rgb(0, 0,
0); font-family: Arial, Helvetica; font-size: medium;
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