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<!DOCTYPE html>
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<a class="navbar-brand page-scroll" href="#page-top">
</a><a href="https://cis.temple.edu/tagit/events/NARS-AGI19.html" class="onMobile-SpeLink"><img src="NARS2019_files/logo-workshop.png" alt="" width="220px"></a>
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<li class="hidden active">
<a href="#page-top"></a>
</li>
<li class="">
<a class="page-scroll" href="#cfp">Introduction</a>
</li>
<li class="">
<a class="page-scroll" href="#keynote">Talks</a>
</li>
<li class="">
<a class="page-scroll" href="#program">Schedule</a>
</li>
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<a class="page-scroll" href="#organisation">Organization</a>
</li>
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<header>
<div class="container">
<div class="intro-text">
<!--<div><h4>FAIM Workshop on</h4></div>-->
<div class="intro-heading">NARS Tutorial<br>And<br>Workshop</div>
<!--a href="#program" class="page-scroll btn btn-xl">Program</a-->
<div>
<h4>August 6, 2019, Shenzhen, China</h4>
<h4 class="onMobile-Speh4">At<a href="http://agi-conf.org/2019/"> AGI 2019</a><!--, <a href="http://celweb.vuse.vanderbilt.edu/aamas18/">AAMAS 2019</a> and <a href="https://icml.cc/">ICML 2019</a> <br>--></h4>
<!--<a class="btn btn-primary" href="https://astro.temple.edu/~tuf66045/workshop/aegap2019/#cfp">Call for Papers</a>-->
</div>
</div>
</div>
</header>
<!-- Overview Section -->
<section id="cfp" class="bg-light-white">
<div class="container">
<div class="row">
<div class="col-lg-8 text-justify">
<!--<h3 class="section-heading">NARS(Non-Axiomatic Reasoning System) Tutorial and Workshop at AGI-19</h3>-->
<!--<h3 class="section-heading">Call for Papers</h3>-->
<p>With notable progress in recent years, the
AGI-oriented NARS (Non-Axiomatic Reasoning System) has been attracting
increasing interest from researchers and students from around the world.
Built on top of its open-source implementation
OpenNARS, several NARS-based or NARS-related projects have been
undertaken and are currently under development. To encourage
communication
and collaboration among the researchers, as well
as to introduce these projects to the AGI community, a NARS Workshop
will be held during AGI-19 as an integrated part of the conference.</p>
<p>The workshop will be a one-day event (Aug 6th).
It will start with a tutorial that introduces the conceptual design and
current implementations of NARS, followed by presentations and
discussions of the existing projects. The
workshop concludes with a panel discussion about future research. The
workshop will be open to all AGI-19 attendees. Additional demonstrations
and tutorials may be arranged on a case-by-case
manner for those wishing to learn more about the project.</p>
<!--<ul class="onMobile-ul">
<li>New theoretical insights relevant to generality and autonomy</li>
<li>Analysis of design requirements for generality and autonomy</li>
<li>New methodologies relevant to generality and autonomy</li>
<li>Design proposals for cognitive architectures targeting generality and/or autonomy</li>
<li>Analysis of the potential and limitations of existing and new approaches</li>
<li>Synergies and integration of AI approaches</li>
<li>New programming languages or architectural principles relevant to generality and autonomy</li>
<li>Novel network architectures for generality and autonomy</li>
<li>New learning and/or educational methods for generality and autonomy</li>
<li>Analysis, comparisons and proposals of AI/ML benchmarks and competitions</li>
<li>Tasks and methods for evaluating general and autonomous AI systems</li>
<li>Unified theories for evaluating general intelligence and cognitive capability</li>
<li>Evaluation of multi-agent systems in competitive and cooperative scenarios</li>
<li>Better understanding of the characterization of task requirements and difficulty (energy, time, trials
needed...) beyond algorithmic complexity</li>
<li>The relation between autonomy and predictability</li>
<li>Emergence of (symbolic) logic from neural networks</li>
<li>Integration of top-down and bottom-up approaches (e.g. logic-based and neural-inspired)</li>
</ul>-->
</div>
<div class="col-lg-4">
<a href="https://ijcai19.org/">
<img src="NARS2019_files/opennars_logo_without_alpha.png" alt="IJCAI-18" class="img-responsive img-centered" width="246" border="0">
</a>
<h4 class="section-heading">Key Information:</h4>
<dl class="dl-horizontal">
<dt>When:</dt><dd>August 6th</dd>
<dt>Where:</dt><dd>Shenzhen, China</dd>
<!--<dt>Address:</dt><dd><a href="">Macao, China</a></dd>-->
</dl>
<!--<h4 class="section-heading">Tentative Schedule:</h4>
<dl class="dl-horizontal">
<dt>Due date:</dt><dd>April 30th, 2019</dd>
<dt>Notification date:</dt><dd><!--<del>May, 10th, 2019<!--</del></dd>
<dt>Camera-ready date:</dt><dd><!--<del>o Be Determined<!--</del></dd>
<dt>Submission system:</dt><dd><a href="https://easychair.org/cfp/AEGAP-19">EasyChair</a></dd>
</dl>-->
<h4 class="section-heading">Contact:</h4>
<left>
<a href="mailto:[email protected]">[email protected]</a>
</left>
<!--h4 class="section-heading"><br>
HELP SPREAD THE WORD!</h4>
<p><span class="section-subheading text-muted">Please use these <a href="cfp.txt">text</a> or <a href="cfp.html">HTML / rich text</a> versions of our CfP for distribution on other media.</span></p-->
</div>
<!--<div class="container">
<div class="row">
<div class="col-lg-12 text-justify">
<h3 class="section-heading">Topics</h3>
<h4>Evaluation:</h4>
<br>
<ul class="list-group">
<li class="list-group-item">Analysis, comparisons and proposals of AI/ML benchmarks and competitions. Lessons learnt.</li>
<li class="list-group-item">Theoretical or experimental accounts of the space of tasks, abilities and their dependencies.</li>
<li class="list-group-item">Tasks and methods for evaluating: transfer learning, cognitive growth, development, cumulative learning, structural self-modification and self-programming.</li>
<li class="list-group-item">Conceptualisations and definitions of generality or abstraction in AI / ML systems.</li>
<li class="list-group-item">Unified theories for evaluating intelligence and other cognitive abilities, independently of the kind of subject (humans, animals or machines): universal psychometrics.</li>
<li class="list-group-item">Evaluation of conversational bots, dialogue systems and personal assistants.</li>
<li class="list-group-item">Evaluation of common sense, reasoning, understanding, causal relations. </li>
<li class="list-group-item">Evaluation of multi-agent systems in competitive and cooperative scenarios, evaluation of teams, approaches from game theory.</li>
<li class="list-group-item">Better understanding of the characterisation of task requirements and difficulty (energy, time, trials needed...), beyond algorithmic complexity. Item generation. Item Response Theory (IRT).</li>
<li class="list-group-item">Evaluation of AI systems using generalised cognitive tests for humans. Computer models taking IQ tests. Psychometric AI.</li>
<li class="list-group-item">Assessment of replicability, reproducibility and openness in AI / ML systems.</li>
<li class="list-group-item">Evaluation methods for multiresolutional perception in AI systems and agents. Analysis of progress scenarios, AI progress forecasting, associated risks.</li>
</ul>
<br>
<h4>Architectures:</h4>
<br>
<ul class="list-group">
<li class="list-group-item">Analysis of requirements for autonomy and generality</li>
<li class="list-group-item">Design proposals for cognitive architectures targeting generality and/or autonomy</li>
<li class="list-group-item">Complex layered networked systems and architectures</li>
<li class="list-group-item">Synergies between AI approaches</li>
<li class="list-group-item">Integration of top-down and bottom-up approaches (e.g. logic-based and neural-inspired)</li>
<li class="list-group-item">Emergence of (symbolic) logic from neural networks</li>
<li class="list-group-item">New programming languages relevant to generality and autonomy</li>
<li class="list-group-item">New methodologies relevant to generality and autonomy</li>
<li class="list-group-item">New architectural principles relevant to generality and autonomy</li>
<li class="list-group-item">Complex (e.g. layered, hierarchical or recursive) network architectures for generality and autonomy</li>
<li class="list-group-item">New theoretical insights relevant to generality and autonomy</li>
<li class="list-group-item">Motivation (intrinsic, extrinsic) for enabling autonomous behavior selection and learning</li>
<li class="list-group-item">Analysis of the potential and limitations of existing approaches</li>
<li class="list-group-item">Methods to achieve general ((super)human-like) performance</li>
<li class="list-group-item">Methods for epigenetic development</li>
<li class="list-group-item">Baby machines and experience-based, continuous, online learning</li>
<li class="list-group-item">Seed-based programming and self-programming</li>
<li class="list-group-item">Education for systems with general intelligence and high levels of autonomy</li>
<li class="list-group-item">Understanding and comprehension</li>
<li class="list-group-item">Reasoning and common-sense</li>
<li class="list-group-item">Acquisition of causal models</li>
<li class="list-group-item">Cumulative knowledge acquisition</li>
<li class="list-group-item">Curiosity, emotion and motivation for enabling autonomous behavior and knowledge acquisition</li>
<li class="list-group-item">Meta-planning, reflection and self-improvement</li>
<li class="list-group-item">Principles of swarm intelligence for generality and autonomy</li>
</ul>
</div>
</div>
</div>-->
</div>
<!--div class="row">
<div class="col-lg-12 text-center">
<a href="#submission" class="page-scroll btn btn-xl">submission details</a>
</div>
</div-->
</div>
</section>
<section id="keynote" class="bg-light-gray">
<div class="container">
<div class="row text-center">
<div class="about_title col-text-center section-title wow" data-wow-delay="0.3s">
<h2 class="section-heading">TALKS</h2>
<div class="col-sm-12" id="etzioni">
<div class="col-sm-4" align="center">
<div class="team-member">
<img src="NARS2019_files/patrick.jpg" alt="" class="img-responsive img-circle" width="160" height="160">
<h4>Patrick Hammer</h4>
<!--<ul class="list-inline social-buttons" style="margin-top: 10px">
<li><a href="http://allenai.org/team/orene/"><i class="fa fa-link"></i></a>
</li>
<li><a href="https://www.linkedin.com/in/orenetzioni/"><i class="fa fa-linkedin"></i></a>
</li>
</ul>-->
</div>
</div>
<div class="col-sm-8" align="justify">
<!--<p><b>Oren Etzioni</b> is Chief Executive Officer of the <a href="http://allenai.org/"><b>Allen Institute for Artificial Intelligence</b></a>. He has been a Professor at the University of Washington's Computer Science department since 1991, receiving several awards including Seattle's Geek of the Year (2013), the Robert Engelmore Memorial Award (2007), the IJCAI Distinguished Paper Award (2005), AAAI Fellow (2003), and a National Young Investigator Award (1993). He has been the founder or co-founder of several companies, including Farecast (sold to Microsoft in 2008) and Decide (sold to eBay in 2013). He has written commentary on AI for The New York Times, Nature, Wired, and the MIT Technology Review. He helped to pioneer meta-search (1994), online comparison shopping (1996), machine reading (2006), and Open Information Extraction (2007). He has authored over 100 technical papers that have garnered over 1,800 highly influential citations on Semantic Scholar. He received his Ph.D. from Carnegie Mellon University in 1991 and his B.A. from Harvard in 1986.</p>-->
<h5> <b>Talk:</b><a href="https://cis.temple.edu/tagit/events/papers/Hammer.pdf"><em> A reasoning based model for anmaly detection in the Smart City domain</em></a></h5>
<p><b>Abstract:</b> Using a proprietary visual
scene object tracker and the OpenNARS reasoning system we demonstrate
how to predict and detect various anomaly classes. The approach combines
an object tracker with a
base ontology and the OpenNARS reasoning
system to learn to classify scene regions based on accumulating evidence
from typical entity class (tracked object) behaviours. The system can
autonomously satisfy goals
related to anomaly detection and respond to
user Q&A in real time. The system learns directly from experience
with no initial training required (one-shot). The solution is a fusion
of sub-symbolic (object tracker) and
symbolic (ontology and reasoning).</p>
<h5> <b>Talk:</b> <em>An Intelligent Plan Revision System for Interaction in Dynamic Contexts</em></h5>
<p><b>Abstract:</b>Reproducing the human
ability to cooperate and collaborate in a dynamic environment is a
significant challenge in the field of human-robot teaming interaction.
Generally, in
this context, a robot has
to adapt itself to handle unforeseen situations. This problem is typical
for runtime planning in human-machine interaction, where some factors
are not known
before the execution
starts. The aim of this work is to show and discuss our method to handle
this kind of situation, to improve human-robot cooperation in a
human-robot team. Our
idea is to use the
Belief-Desire-Intention agent paradigm and its implementation through
the Jason reasoning cycle as a starting point to include a Non-Axiomatic
Reasoning System. The result
is a new reasoning cycle
that gives the robot the ability to select the best plan, while
retracting unsuccessful plans and learning new ones on the fly.</p>
</div>
</div>
<hr class="col-sm-12" style="border: 1px solid gray;">
<div class="col-sm-12" id="taniguchi">
<div class="col-sm-4" align="center">
<div class="team-member">
<img src="NARS2019_files/ProfTaniguc.html" alt="" class="img-responsive img-circle" width="160" height="160">
<h4>Robert Wunsche</h4>
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</li>
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</div>
</div>
<div class="col-sm-8" align="justify">
<!--<p><b>Tadahiro Taniguchi</b> has been a Professor at the College of Information Science and Engineering, <a href="http://en.ritsumei.ac.jp/"><b>Ritsumeikan University</b></a> since 2017. He has also been a Visiting General Chief Scientist, AI solution center, Panasonic since 2017. He has been engaged in research on machine learning, cognitive robotics, emergent systems, and intelligent vehicles. Main focus his research is about symbol emergence in robotics, ranging from behavioral learning to language acquisition. From September 2015 to September 2016, he was a Visiting Associate Professor at Imperial College London. He serves on the editorial board of Advanced Robotics and Japanese Society of Artificial Intelligence. He is also a member of the Cognitive and Developmental Systems Technical Committee, and the Emergent Technologies Technical Committee of the IEEE. He received the ME and Ph.D. degrees from Kyoto University, in 2003 and 2006, respectively.</p>-->
<h5> <b>Talk:</b><a href="https://cis.temple.edu/tagit/events/papers/Wunsche.pdf"><em> A Vision prototype for OpenNARS</em></a></h5>
<p><b>Abstract:</b> AGI systems need to operate
without interruption. Hence, a vision system for an AGI system has to
be active, adaptive and wor under the Assumption of Insufficient
Knowledge and Resources (AIKR).
This paper describes
details of a prototype for a domain independent vision system which
learns online and incrementally over the lifetime of the agent under
AIKR. This prototype is intended to become the basis
of a more capable vision
system for NARS based AGI systems.</p>
</div>
</div>
<hr class="col-sm-12" style="border: 1px solid gray;">
<div class="col-sm-12">
<div class="col-sm-4" align="center">
<div class="team-member">
<img src="NARS2019_files/Tony_Lofthouse.jpg" alt="" class="img-responsive img-circle" width="160" height="160">
<h4>Tony Lofthouse</h4>
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</div>
</div>
<div class="col-sm-8" align="justify">
<!--<p><b>Tony Lofthouse</b> has been Professor of Artificial Intelligence at the <a href="https://www.bristol.ac.uk/">University of Bristol</a> since 2003. An internationally leading researcher in the areas of mining highly structured data and the evaluation and improvement of machine learning models using ROC analysis, he has also published on the logic and philosophy of machine learning, and on the combination of logic and probability. He is author of Simply Logical: Intelligent Reasoning by Example (John Wiley, 1994) and Machine Learning: the Art and Science of Algorithms that Make Sense of Data (Cambridge University Press, 2012). Prof Flach is the Editor-in-Chief of the Machine Learning journal, one of the two top journals in the field that has been published for over 25 years by Kluwer and now Springer. He was Programme Co-Chair of the 1999 International Conference on Inductive Logic Programming, the 2001 European Conference on Machine Learning, the 2009 ACM Conference on Knowledge Discovery and Data Mining, and the 2012 European Conference on Machine Learning and Knowledge Discovery in Databases in Bristol. </p>-->
<h5> <b>Talk:</b><a href="https://cis.temple.edu/tagit/events/papers/Lofthouse.pdf"> <em>ALANN: An event driven control mechanism for a nonaxiomatic reasoning system (NARS)</em></a></h5>
<p><b>Abstract:</b> Adaptive Logic and Neural
network (ALANN): A neuro-symbolic approach to, event driven, attentional
control of a NARS system. A spiking neural network (SNN) model is used
as the control mechanism in conjunction with the
Non-Axiomatic Logic (NAL).
An inference engine is used to create and adjust links and associated
link strengths and provide activation spreading under contextual
control.</p>
</div>
</div>
<hr class="col-sm-12" style="border: 1px solid gray;">
<div class="col-sm-12">
<div class="col-sm-4" align="center">
<div class="team-member">
<img src="NARS2019_files/B_Robert.jpg" alt="" class="img-responsive img-circle" width="160" height="160">
<h4>Robert Johansson</h4>
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</div>
</div>
<div class="col-sm-8" align="justify">
<!--<p><b>Tony Lofthouse</b> has been Professor of Artificial Intelligence at the <a href="https://www.bristol.ac.uk/">University of Bristol</a> since 2003. An internationally leading researcher in the areas of mining highly structured data and the evaluation and improvement of machine learning models using ROC analysis, he has also published on the logic and philosophy of machine learning, and on the combination of logic and probability. He is author of Simply Logical: Intelligent Reasoning by Example (John Wiley, 1994) and Machine Learning: the Art and Science of Algorithms that Make Sense of Data (Cambridge University Press, 2012). Prof Flach is the Editor-in-Chief of the Machine Learning journal, one of the two top journals in the field that has been published for over 25 years by Kluwer and now Springer. He was Programme Co-Chair of the 1999 International Conference on Inductive Logic Programming, the 2001 European Conference on Machine Learning, the 2009 ACM Conference on Knowledge Discovery and Data Mining, and the 2012 European Conference on Machine Learning and Knowledge Discovery in Databases in Bristol. </p>-->
<h5> <b>Talk:</b> <a href="https://cis.temple.edu/tagit/events/papers/Johansson.pdf"><em>Arbitrarily Applicable Relational Responding in NARS</em></a></h5>
<p><b>Abstract:</b> In a previous publication,
we argued why the behavioral psychology theory Relational Frame Theory
(RFT) might be interesting for AGI researchers. This paper explores
details of RFT in NARS. More
specifically, we
investigate different response patterns, such as equivalence,
opposition, and comparison in NARS. An additional core feature of RFT is
transformation of stimulus function which explains how arbitrary
symbols can acquire various functions depending on the relational
networks in operation. We
demonstrate how NARS handles this process. Finally, future applied and
basic research opportunities are discussed.</p>
</div>
</div>
<hr class="col-sm-12" style="border: 1px solid gray;">
<div class="col-sm-12">
<div class="col-sm-4" align="center">
<div class="team-member">
<img src="NARS2019_files/yingjin.png" alt="" class="img-responsive img-circle" width="160" height="160">
<h4>Yingjin Xu</h4>
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</div>
</div>
<div class="col-sm-8" align="justify">
<!--<p><b>Tony Lofthouse</b> has been Professor of Artificial Intelligence at the <a href="https://www.bristol.ac.uk/">University of Bristol</a> since 2003. An internationally leading researcher in the areas of mining highly structured data and the evaluation and improvement of machine learning models using ROC analysis, he has also published on the logic and philosophy of machine learning, and on the combination of logic and probability. He is author of Simply Logical: Intelligent Reasoning by Example (John Wiley, 1994) and Machine Learning: the Art and Science of Algorithms that Make Sense of Data (Cambridge University Press, 2012). Prof Flach is the Editor-in-Chief of the Machine Learning journal, one of the two top journals in the field that has been published for over 25 years by Kluwer and now Springer. He was Programme Co-Chair of the 1999 International Conference on Inductive Logic Programming, the 2001 European Conference on Machine Learning, the 2009 ACM Conference on Knowledge Discovery and Data Mining, and the 2012 European Conference on Machine Learning and Knowledge Discovery in Databases in Bristol. </p>-->
<h5> <b>Talk:</b><a href="https://cis.temple.edu/tagit/events/papers/Xu.pdf"> <em>Epistemic Shifts Explained in Terms of “Time Budget Deficit”</em></a></h5>
<p><b>Abstract:</b> The term “epistemic shifts”
refers to a widely recognized phenomenon that knowledge ascribers would
ascribe different epistemic statuses to the same beliefs held by the
subjects under different internal/external conditions.
Contextualists and
contrastivists tend to explain this phenomenon by making the semantic
connotation of “knowing” different from one context to another, while
stake-based invariantists and intellectual invariantists tend
to explain the same
phenomenon by appealing to external factors like stakes or internal
factors like “need-for-closure”. I tend to argue that all the preceding
theories lack either the minimal integration of the
dimensions of involving
parameters or the minimal elegance facilitating cognitive modelling or
the minimal range of the scope of applicability. My competing model for
explaining epistemic shifts is based on the notion of “time
budget deficit”, which
refers to the deficit of the operating resources related to time that a
subject incurs when she is facing a certain cognitive task. My theory
has a wide scope of applicability from the bank cases to varieties of
skeptic cases. Furthermore,
due to the algorithmic characterization of my model, it also has the
potential to be serving for the goal of AI.</p>
</div>
</div>
<hr class="col-sm-12" style="border: 1px solid gray;">
<div class="col-sm-12">
<div class="col-sm-4" align="center">
<div class="team-member">
<img src="NARS2019_files/Nady_Slam.jpg" alt="" class="img-responsive img-circle" width="160" height="160">
<h4>Nady Slam</h4>
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</div>
</div>
<div class="col-sm-8" align="justify">
<!--<p><b>Tony Lofthouse</b> has been Professor of Artificial Intelligence at the <a href="https://www.bristol.ac.uk/">University of Bristol</a> since 2003. An internationally leading researcher in the areas of mining highly structured data and the evaluation and improvement of machine learning models using ROC analysis, he has also published on the logic and philosophy of machine learning, and on the combination of logic and probability. He is author of Simply Logical: Intelligent Reasoning by Example (John Wiley, 1994) and Machine Learning: the Art and Science of Algorithms that Make Sense of Data (Cambridge University Press, 2012). Prof Flach is the Editor-in-Chief of the Machine Learning journal, one of the two top journals in the field that has been published for over 25 years by Kluwer and now Springer. He was Programme Co-Chair of the 1999 International Conference on Inductive Logic Programming, the 2001 European Conference on Machine Learning, the 2009 ACM Conference on Knowledge Discovery and Data Mining, and the 2012 European Conference on Machine Learning and Knowledge Discovery in Databases in Bristol. </p>-->
<h5> <b>Talk:</b><a href="https://cis.temple.edu/tagit/events/papers/Slam.pdf"> <em>A Decision-making Model under the Assumption of Insufficient Knowledge and Resource</em></a></h5>
<p><b>Abstract:</b> It is an important research
topic in AI to construct a formal and explicit decision-making model
for human's cognitive process and realize the computer implementation of
the model.
Some cognitive
psychologists have proposed heuristic methods to describe human
decision-making processes. ISSUE: however they have not received the
attention of mainstream
artificial intelligence.
Therefore, classical decision-making theory is still often used to
construct computational models for decision-making. On the other hand,
although some researchers have
proposed a heuristic-based
decision-making model, they do not reflect the mechanism of the
heuristic method, thus hindering the realization of its computational
method. METHODS: In this
paper, first we build a
decision model based on the first six layers of NAL under the assumption
of the insufficient knowledge and resources. Then we outline the
preliminary implementation
process the proposed model
in the computer. CONCLUSION: This paper can provide theoretical and
technical means for the cognitive process and computationalization of
the decision-making in
the real environment.</p>
</div>
</div>
<hr class="col-sm-12" style="border: 1px solid gray;">
<div class="col-sm-12">
<div class="col-sm-4" align="center">
<div class="team-member">
<img src="NARS2019_files/bojie.jpg" alt="" class="img-responsive img-circle" width="160" height="160">
<h4>Bojie Feng</h4>
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<div class="col-sm-8" align="justify">
<!--<p><b>Tony Lofthouse</b> has been Professor of Artificial Intelligence at the <a href="https://www.bristol.ac.uk/">University of Bristol</a> since 2003. An internationally leading researcher in the areas of mining highly structured data and the evaluation and improvement of machine learning models using ROC analysis, he has also published on the logic and philosophy of machine learning, and on the combination of logic and probability. He is author of Simply Logical: Intelligent Reasoning by Example (John Wiley, 1994) and Machine Learning: the Art and Science of Algorithms that Make Sense of Data (Cambridge University Press, 2012). Prof Flach is the Editor-in-Chief of the Machine Learning journal, one of the two top journals in the field that has been published for over 25 years by Kluwer and now Springer. He was Programme Co-Chair of the 1999 International Conference on Inductive Logic Programming, the 2001 European Conference on Machine Learning, the 2009 ACM Conference on Knowledge Discovery and Data Mining, and the 2012 European Conference on Machine Learning and Knowledge Discovery in Databases in Bristol. </p>-->
<h5> <b>Talk:</b><a href="https://cis.temple.edu/tagit/events/papers/Feng.pdf"> <em>Why is NARS good at understanding Chinese?</em></a></h5>
<p><b>Abstract:</b> On the theoretical level,
the paper points out the great value of cognitive linguistics theory to
natural language understanding and how to implement it in AGI system.
And using
the non-axiom reasoning system (NARS), a
series of Chinese natural language understanding research was carried
out. I hope to promote the common development of AGI and linguistics.</p>
</div>
</div>
<div class="col-sm-12" align="center">
<br>
<br>
<br>
</div>
<p></p>
</div>
<!--<hr class="margin_eight" />-->
</div>
</div>
</section>
<!-- Program Section -->
<section id="program">
<div class="container">
<div class="row">
<div class="col-lg-12 text-center">
<h3 class="section-heading"><span class="section-subheading text-muted">tentative</span></h3>
<h2 class="section-heading">Schedule</h2>
</div>
</div>
<!--<p align="center"> The program will consist of invited talks, contributed talks, and group discussions. The order of the contributed talks may be subject to change. </p>-->
<div class="row">
<div class="col-lg-2 text-center">
</div>
<div class="col-lg-8 text-center">
<table class="table table-hover table-striped" style="text-align: left">
<thead>
<tr>
<th width="100px">Time</th>
<th>Event</th>
</tr>
</thead>
<tbody>
<tr><th scope="row">10:15-12:00</th><td><a href="https://cis.temple.edu/tagit/events/AEGAP2019_files/NARS_Tutorial_AGI-19.pptx">NARS Tutorial (Coordinator: Tony Lofthouse)</a></td></tr>
<tr><th scope="row">12:00-13:30</th><td>Lunch Break</td></tr>
<!--<tr><th scope="row">1:30PM 3:00pm</th><td><strong>Invited Talk:</strong> <a href="http://cadia.ru.is/workshops/aegap2019/#etzioni">Oren Etzioni</a></td></tr>-->
<tr><th scope="row">13:30-15:00</th><td>
<strong>NARS Workshop 1 (Chair: Kristinn Thorisson)</strong>
<table class="table table-hover" style="text-align: left; margin-bottom: 0;">
<tbody>
<tr><td scope="row" style="border-top: 0;">Patrick Hammer<br><em>A reasoning based model for anomaly detection in the SmartCity domain</em></td></tr>
<tr><td scope="row" style="border-top: 0;">Patrick Hammer<br><em>An intelligent plan revision system for robots</em></td></tr>
<tr><td scope="row" style="border-top: 0;">Robert Wunsche<br><em>A Vision prototype for OpenNARS</em></td></tr>
<tr><td scope="row" style="border-top: 0;">Tony Lofthouse<br><em>ALANN: An event driven control mechanism for a non-axiomatic reasoning system</em></td></tr>
</tbody>
</table></td></tr>
<tr><th scope="row">15:00-15:30</th><td>Coffee break</td></tr>
<tr><th scope="row">15:30-17:00</th><td>
<strong>NARS Workshop 2 (Chair: Kai Liu)</strong>
<table class="table table-hover" style="text-align: left; margin-bottom: 0;">
<tbody>
<tr><td scope="row" style="border-top: 0;">Robert Johansson<br><em>Arbitrarily applicable relational responding in NARS</em></td></tr>
<tr><td scope="row" style="border-top: 0;">Yingjin Xu <br><em>Epistemic shifts explained in terms of "time budget deficit"</em></td></tr>
<tr><td scope="row" style="border-top: 0;">Nady Slam <br><em>A decision making model under assumption of insufficient knowledge and resources</em></td></tr>
<tr><td scope="row" style="border-top: 0;">Feng Bojie <br><em>Why is NARS good at understand Chinese?</em></td></tr>
</tbody>
</table>
</td></tr>
<tr><th scope="row">17:00-18:00</th><td><strong><a href="https://cis.temple.edu/tagit/events/AEGAP2019_files/Roadmap.pptx">Panel on the Roadmap of NARS (Coordinator: Pei Wang)</a></strong><br><em>Panelists: Patrick Hammer, Robert Johansson, Kai Liu, Kristinn Thorisson, Yingjin Xu</em></td></tr>
</tbody>
</table>
</div>
</div>
</div>
</section>
<!-- Organisation Section -->
<section id="organisation">
<div class="container">
<div class="row">
<div class="col-lg-12 text-center">
<h2 class="section-heading">Organizing Committee</h2>
</div>
</div>
<div class="row">
<!--<h3 class="section-heading text-center">General AI Architecture of Emergence & Autonomy</h3>-->
<br>
<div class="col-sm-4">
<div class="team-member">
<img src="NARS2019_files/pei.jpg" alt="" class="img-responsive img-circle" width="160" height="160">
<h4>Dr. Pei Wang</h4>
<p class="text-muted">Temple University, U.S.<br> </p>
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</div>
</div>
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<div class="team-member">
<img src="NARS2019_files/hugo.jpg" alt="" class="img-responsive img-circle" width="160" height="160">
<h4>Hugo Latapie</h4>
<p class="text-muted">Cisco, U.S.</p>
<br>
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<div class="col-sm-4">
<div class="team-member">
<img src="NARS2019_files/kris.jpg" alt="" class="img-responsive img-circle" width="160" height="160">
<h4>Dr. Kristinn R. Thórisson</h4>
<p class="text-muted">Reykjavik University & Icelandic Institute for Intelligent Machines, Iceland</p>
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<div class="team-member">
<img src="NARS2019_files/kai.jpg" alt="" class="img-responsive img-circle" width="160" height="160">
<h4>Dr. Kai Liu</h4>
<p class="text-muted">Bohai University, China</p>
<br>
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<div class="team-member">
<img src="NARS2019_files/xiang.jpg" alt="" class="img-responsive img-circle" width="160" height="160">
<h4>Xiang Li</h4>
<p class="text-muted">Temple University, U.S.<br> </p>
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<div class="team-member">
<img src="NARS2019_files/bill.jpg" alt="" class="img-responsive img-circle" width="160" height="160">
<h4>Bill Power</h4>
<p class="text-muted">Temple University, U.S.<br> </p>
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</div>
<!--<div class="row">
<div class="col-lg-12 text-center">
<h2 class="section-heading">Steering Committee</h2>
</div>
</div>
<div class="row">
<h3 class="section-heading text-center">General AI Architecture of Emergence & Autonomy</h3>
<br>
<div class="col-sm-4">
<div class="team-member">
<img src="img/oc/kris.jpg" alt="" width="160" height="160" class="img-responsive img-circle">
<h4>Dr. Kristinn R. Thórisson (contact)</h4>
<p class="text-muted">Reykjavik University & Icelandic Institute for Intelligent Machines, Iceland</p>
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<div class="team-member">
<img src="img/sc/jose.jpg" alt="" width="160" height="160" class="img-responsive img-circle">
<h4>Dr. José Hernández-Orallo (contact)</h4>
<p class="text-muted">Polytechnic University of Valencia, Spain</p>
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<div class="team-member">
<img src="img/sc/pei.jpg" alt="" width="160" height="160" class="img-responsive img-circle">
<h4>Dr. Pei Wang</h4>
<p class="text-muted">Temple University, U.S.<br> </p>
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<div class="team-member">
<img src="img/sc/jordi.jpg" alt="" width="160" height="160" class="img-responsive img-circle">
<h4>Jordi Bieger</h4>
<p class="text-muted">Delft University of Technology, The Netherlands &<br>Reykjavik University, Iceland</p>
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<div class="team-member">
<img src="img/oc/hiroshi.jpg" alt="" width="160" height="160" class="img-responsive img-circle">
<h4>Dr. Hiroshi Yamakawa</h4>
<p class="text-muted">University of Tokyo & Dwango AI Lab, Japan</p>
<br
>
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<div class="team-member">
<img src="img/oc/satoshi.jpg" alt="" width="160" height="160" class="img-responsive img-circle">
<h4>Dr. Satoshi Kurihara</h4>
<p class="text-muted">University of Electro-Communications, Japan<br> </p>
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<li><a href="http://www.ics.lab.uec.ac.jp/s-kuri/"><i class="fa fa-link"></i></a>
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<li><a href="https://www.linkedin.com/in/satoshi-kurihara-23501560/"><i class="fa fa-linkedin"></i></a>
</li>
</ul>
</div>
</div>
<div class="col-sm-4">
<div class="team-member">
<img src="./AEGAP2019_files/kenji.jpg" alt="" width="160" height="160" class="img-responsive img-circle">
<h4>Dr. Kenji Doya</h4>
<p class="text-muted">Okinawa Institute for Science and Technology, Japan<br> </p>
<ul class="list-inline social-buttons">
<li><a href="https://groups.oist.jp/ncu"><i class="fa fa-link"></i></a>
</li>
</ul>
</div>
</div>-->
<!--<div class="col-sm-4">
<div class="team-member">
<img src="./AEGAP2019_files/hiroaki.png" alt="" width="160" height="160" class="img-responsive img-circle">
<h4>Dr. Hiroaki Wagatsuma</h4>
<p class="text-muted">Kyushu Institute of Technology, Japan</p>
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<li><a href="https://research02.jimu.kyutech.ac.jp/html/358_en.html"><i class="fa fa-link"></i></a>
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<li><a href="https://www.linkedin.com/in/hiroaki-wagatsuma-08a5207b/"><i class="fa fa-linkedin"></i></a>
</li>
</ul>
</div>
</div>-->
<!--<div class="col-sm-4">
<div class="team-member">
<img src="./AEGAP2019_files/tadahiro.jpg" alt="" width="160" height="160" class="img-responsive img-circle">
<h4>Dr. Tadahiro Taniguchi</h4>
<p class="text-muted">Ritsumeikan University, Japan</p>
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<li><a href="http://www.em.ci.ritsumei.ac.jp/"><i class="fa fa-link"></i></a>
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<li><a href="https://www.linkedin.com/in/tadahiro-taniguchi-1b680013/"><i class="fa fa-linkedin"></i></a>
</li>
</ul>
</div>
</div>-->
<!--<div class="col-sm-4">
<div class="team-member">
<img src="./AEGAP2019_files/tadahiro.jpg" alt="" width="160" height="160" class="img-responsive img-circle">
<h4>Dr. Ryotaro Ichise</h4>
<p class="text-muted">National Institute of Informatics, Japan</p>
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<li><a href="http://ri-www.nii.ac.jp/~ichise/"><i class="fa fa-link"></i></a>
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<li><a href="https://www.linkedin.com/in/tadahiro-taniguchi-1b680013/"><i class="fa fa-linkedin"></i></a>
</li>
</ul>
</div>
</div>-->
<!--<div class="row">
<h3 class="section-heading text-center">Architectures for Generality & Autonomy</h3>
<br>
<div class="col-sm-4">
<div class="team-member">
<img src="./AEGAP2019_files/kris.jpg" alt="" width="160" height="160" class="img-responsive img-circle">
<h4>Dr. Kristinn R. Thórisson (contact)</h4>
<p class="text-muted">Reykjavik University & Icelandic Institute for Intelligent Machines, Iceland</p>
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<li><a href="http://www.ru.is/faculty/thorisson/"><i class="fa fa-link"></i></a>
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</ul>
</div>
</div>
<div class="col-sm-4">
<div class="team-member">
<img src="./AEGAP2019_files/pei.jpg" alt="" width="160" height="160" class="img-responsive img-circle">
<h4>Dr. Pei Wang</h4>
<p class="text-muted">Temple University, U.S.<br> </p>
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<li><a href="http://cis-linux1.temple.edu/~pwang/"><i class="fa fa-link"></i></a>
</li>
<li><a href="https://www.linkedin.com/in/pei-wang-3a46241/"><i class="fa fa-linkedin"></i></a>
</li>
</ul>
</div>
</div>
<div class="col-sm-4">
<div class="team-member">
<img src="./AEGAP2019_files/claes.jpg" alt="" width="160" height="160" class="img-responsive img-circle">
<h4>Dr. Claes Strannegård</h4>
<p class="text-muted">Chalmers University of Technology & University of Gothenburg, Sweden</p>
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<li><a href="https://www.chalmers.se/en/Staff/Pages/claes-strannegard.aspx"><i class="fa fa-link"></i></a>
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<li><a href="https://www.linkedin.com/in/claes-stranneg%C3%A5rd-9641714/"><i class="fa fa-linkedin"></i></a>
</li>
</ul>
</div>
</div>
<div class="col-sm-4">
<div class="team-member">
<img src="./AEGAP2019_files/antonio.jpg" alt="" width="160" height="160" class="img-responsive img-circle">
<h4>Dr. Antonio Chella</h4>
<p class="text-muted">University of Palermo, Italy<br> </p>
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<li><a href="https://www.unipa.it/persone/docenti/c/antonio.chella/en/index.html"><i class="fa fa-link"></i></a>
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<li><a href="https://www.linkedin.com/in/antonio-chella-5a94b9114/"><i class="fa fa-linkedin"></i></a>
</li>
</ul>
</div>
</div>
<div class="col-sm-4">
<div class="team-member">
<img src="./AEGAP2019_files/lola.jpg" alt="" width="160" height="160" class="img-responsive img-circle">
<h4>Dr. Lola Cañamero</h4>
<p class="text-muted">University of Hertfordshire, U.K.<br> </p>
<ul class="list-inline social-buttons">
<li><a href="http://www.emotion-modeling.info/"><i class="fa fa-link"></i></a>
</li>
</ul>
</div>
</div>
<div class="col-sm-4">
<div class="team-member">
<img src="./AEGAP2019_files/jordi.jpg" alt="" width="160" height="160" class="img-responsive img-circle">
<h4>Jordi Bieger</h4>
<p class="text-muted">Delft University of Technology, The Netherlands &<br>Reykjavik University, Iceland</p>
<ul class="list-inline social-buttons">
<li><a href="http://jordi.cyberbyte.nl/"><i class="fa fa-link"></i></a>
</li>
<li><a href="https://www.linkedin.com/in/jbieger/"><i class="fa fa-linkedin"></i></a>
</li>
</ul>
</div>
</div>
</div>-->
<!--<div class="row">
<h3 class="section-heading text-center">Evaluation of Generality & Progress in AI</h3>
<br>
<div class="col-sm-4">
<div class="team-member">
<img src="./AEGAP2019_files/jose.jpg" alt="" width="160" height="160" class="img-responsive img-circle">
<h4>Dr. José Hernández-Orallo (contact)</h4>
<p class="text-muted">Polytechnic University of Valencia, Spain</p>
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<li><a href="http://users.dsic.upv.es/~jorallo/"><i class="fa fa-link"></i></a>
</li>
</ul>
</div>
</div>
<div class="col-sm-4">
<div class="team-member">
<img src="./AEGAP2019_files/sean.jpg" alt="" width="160" height="160" class="img-responsive img-circle">
<h4>Dr. Seán Ó hÉigeartaigh</h4>
<p class="text-muted">Centre for the Study of Existential Risk, U.K.</p>
<ul class="list-inline social-buttons">
<li><a href="http://www.crassh.cam.ac.uk/people/profile/sean-o-heigeartaigh"><i class="fa fa-link"></i></a>
</li>
<li><a href="https://www.linkedin.com/in/sean-o-heigeartaigh-03b33b29/"><i class="fa fa-linkedin"></i></a>
</li>
</ul>
</div>
</div>
<div class="col-sm-4">
<div class="team-member">
<img src="./AEGAP2019_files/nader.jpg" alt="" width="160" height="160" class="img-responsive img-circle">
<h4>Dr. Nader Chmait</h4>
<p class="text-muted">Victoria University, Australia</p>
<ul class="list-inline social-buttons">
<li><a href="http://users.monash.edu.au/~naderc/"><i class="fa fa-link"></i></a>
</li>
<li><a href="https://www.linkedin.com/in/naderchmait/"><i class="fa fa-linkedin"></i></a>
</li>
</ul>
</div>
</div>
<div class="col-sm-2"></div>
<div class="col-sm-4">
<div class="team-member">
<img src="./AEGAP2019_files/nando.jpg" alt="" width="160" height="160" class="img-responsive img-circle">
<h4>Dr. Fernando Martínez-Plumed</h4>
<p class="text-muted">Polytechnic University of Valencia, Spain</p>
<ul class="list-inline social-buttons">
<li><a href="http://users.dsic.upv.es/~fmartinez/"><i class="fa fa-link"></i></a>
</li>
<li><a href="https://www.linkedin.com/in/fmartinezplumed/"><i class="fa fa-linkedin"></i></a>
</li>
</ul>
</div>
</div>
<div class="col-sm-4">
<div class="team-member">
<img src="./AEGAP2019_files/shahar.jpg" alt="" width="160" height="160" class="img-responsive img-circle">
<h4>Dr. Shahar Avin</h4>
<p class="text-muted">Centre for the Study of Existential Risk, U.K.</p>
<ul class="list-inline social-buttons">
<li><a href="http://www.crassh.cam.ac.uk/people/profile/shahar"><i class="fa fa-link"></i></a>
</li>
<li><a href="https://www.linkedin.com/in/shaharavin/"><i class="fa fa-linkedin"></i></a>
</li>
</ul>
</div>
</div>
</div>-->
<!--<div class="row">
<div class="col-lg-12 text-center">
<h3 class="section-heading">Program Committee</h3>
<br>
<div class="col-lg-2 text-center">
</div>
<div class="col-lg-8 text-center">
<table class="table table-hover" style="text-align: left">
<tbody>
<tr><th scope="row">Eizo Akiyama</th>
<td>Tsukuba University, Japan</td></tr>
<tr><th scope="row">Joscha Bach</th>
<td>Harvard University, U.S.</td></tr>
<tr><th scope="row">Marco Baroni</th>
<td>Facebook AI Research, U.S.</td></tr>
<tr><th scope="row">Tarek Richard Besold</th>
<td>City University of London, U.K.</td></tr>