BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20240329T132625Z UID:c80d9a78-0bb5-47f3-b997-83434d883091 DTSTART:20210118T080000 DTEND:20210119T080000 CLASS:PRIVATE DESCRIPTION:
16 - 18 January\, 2021 - Funchal\, Madeira\, Portugal&nbs
p\;
\nWithin the 10th International Conference on Agents and Artifici
al Intelligence - ICAART 2021
Ulrico Celentan
o \;
\nUniversity of Oulu \;
\nFinland \;
p>\n\n
Brief Bio
\nUlrico Celentano holds a doctoral degree in technology from the University of Oulu\, Finland\, and a dott.i ng. degree in electronics engineering from the University of Florence\, It aly. He is a research doctor at the Faculty of Information Technology and Electrical Engineering\, University of Oulu\, where he has been studying a daptive systems and artificial interacting cognitive entities. He is with the Biomimetics and Intelligent Systems Group (BISG). In addition to publi cations\, he holds five granted patents. His present research interests in clude networked artificial cognitive systems\, human cognition and the soc ial interaction of the above\, along with systems modelling\, system archi tecture and dependable systems.\n\nJuha Rö\;ning \;<
br />\nUniversity of Oulu \;
\nFinland \;
B rief Bio
\nJuha Rö\;ning is the head of the Biomimetics an d Intelligent Systems Group (BISG) research unit and a professor in the Fa culty of Information Technology and Electrical Engineering at the Universi ty of Oulu\, Finland. He obtained a PhD and a licentiate\, with honors\, i n technology\, and an MS\, with honors\, in engineering\, all from the Uni versity of Oulu. He holds two patents and has published more than 300 pape rs in the areas of computer vision\, robotics\, intelligent signal analysi s\, and software security. He has more than 30 years of experience in mobi le robotics. He was a founding member to FP7 NoE European Robotics Researc h Network EURON\, FP7 euRathlon\, the SPARC robotics PPP\, and is a member of the board of directors of euRobotics aisbl. He is a Fellow of SPIE\, a member of IEEE and the International Society for Computers and Their Appl ications. His research interests include data mining\, intelligent systems \, mobile robots\, and software security.\n\nIntellig
ent interaction among natural organisms and artificial entities dates back
to the first half of last century. This interaction has been since then m
ostly at a larger dimensional scale. More recent developments in neuroscie
nce and biology are opening up plenty of new opportunities. Relations betw
een natural and artificial domains include 1) biomimetics (learning from n
ature)\, and 2) interwork between these domains. Current technology makes
it possible at micro and even nanoscale\, down to DNA. In both cases\, it
is crucial to facilitate information transfer to natural and AI systems. T
his special session seeks contributions on either the two above approaches
\, where both natural and artificial intelligent properties (broadly conce
ived) are concurrently within the scope\, although not necessarily with eq
ual importance.
\n
\nTOPICS: \;
\n- Biomimetics
\n
- Heterogeneous multi-agent systems
\n- Interwork of human cognition
and technology (e.g. virtual reality\, human-brain interfaces\, etc.)
\n- Technology-guided biological processes
\n- Heterogeneous interac
tion at different scale (e.g.\, human-robot\, technology-cell\, etc.).
 \;
\n\nConference
\n\n
Regular Papers
\nPaper Submission: September 5\, 2021 (extended) 
\;
\nAuthors Notification: October 16\, 2021 \;
\nCamera Rea
dy and Registration: October 30\, 2021
Position Papers
\nPa
per Submission: September 29\, 2021 \;
\nAuthors Notification: No
vember 7\, 2021 \;
\nCamera Ready and Registration: November 20\,
2021
Workshops
\nWorkshop Proposal: August 31\, 2021
Doctoral Consortium
\nPaper Submission: November 9\, 2021
\
nAuthors Notification: November 22\, 2021
\nCamera Ready and Registra
tion: December 5\, 2021
Special Sessions
\nSpecial Session
Proposal: August 31\, 2021
\nPaper Submission: November 7\, 2021
\nAuthors Notification: November 21\, 2021
\nCamera Ready and Regist
ration: November 29\, 2021
Tutorials
\nTutorial Proposal: N
ovember 24\, 2021
Demos
\nDemo Proposal: November 24\, 2021
Panels
\nPanel Proposal: November 24\, 2021
Open
Communications
\nPaper Submission: November 9\, 2021
\nAuthors
Notification: November 22\, 2021
\nCamera Ready and Registration: Dec
ember 5\, 2021
European Project Spaces
\nPaper Submission:
November 21\, 2021
\nAuthors Notification: November 29\, 2021
\n
Camera Ready and Registration: April 10\, 2021
Agent-based Models for Language Adaptation an
d Change
\nLuc Steels\, ICREA\, Institute of Evolutionary Biology (UP
F-CSIC) Barcelona\, Spain
Accountability\, Responsibility\, Tran
sparency: the ART of AI
\nVirginia Dignum\, Delft University of Techn
ology\, Netherlands
Reading Agents that Hunger for Knowledge
\nEduard Hovy\, Carnegie Mellon University\, United States
To
be announced soon.
\nLuí\;s Antunes\, Universidade de Lisboa\,
Portugal
Luc Steels is currently an ICREA research fellow at the Institute for
Evolutionary Biology (UPF-CSIC) in Barcelona. He studied computer science
at MIT (US) and returned to Europe in 1983 as a professor of Artificial In
telligence (AI) at the University of Brussels (VUB). He founded the VUB AI
Lab at the same time. Over the past three decades\, this laboratory has b
een at the forefront of AI research. In the eighties it focused on the dom
ains of knowledge representation and expert systems. In the nineties the f
ocus shifted to the application of complex systems to AI (particularly neu
ral networks and genetic algorithms) as well as behavior-based robotics. I
n 1996 Steels founded the Sony Computer Science Laboratory in Paris. This
laboratory is particularly active in three domains: (i) technologies for a
ddressing issues in sustainability\, (ii) AI based music creation\, and (i
ii) constructional language processing. Steels is currently an ICREA fello
w in Barcelona where he pursues his interests in modeling language evoluti
on\, more concretely\, how autonomous robotic agents could develop their o
wn language and ontologies in situated embodied interactions. \;
\n
\nLuc Steels gives about a dozen talks per year in various fora\,
ranging from public talks for a wide audience to workshop and conference c
ontributions. He has also produced a series for educational television\, a
s well as written and edited a dozen books on various topics in AI. Google
Scholar lists 300 publications in journals and conferences with a Google
Scholar H-index of 66. His work is also regularly featured in the media\,
such as in broadcasts of the BBC (Horizon) and Discovery Channel (US).&nbs
p\;
\n
\nApart from his scientific activities\, Luc Steels explo
res also the arts. He co-authored a play about the Russian mathematician S
onya Kowalevskaya which premiered at the French Avignon Theatre Festival i
n 2005 and at the French National Theatre (Chaillot) in 2006. He has also
participated in exhibitions at the Musee d'\;art Moderne in Paris\, the
Venice Biennale\, the Aachener Kunstverein\, the Whitney Biennale\, and o
ther venues. Together with the neuroscientist Oscar Vilarroya\, he created
an opera about a humanoid robot Casparo which premiered at IJCAI 2011 in
Barcelona\, and was then performed in Brussels\, Paris\, Leuven (Belgium)
and Tokyo. His second opera Fausto premiered at the Monnaie Brussels opera
house in september 2021.
\nAbstract 
\;
\nHuman natural languages and the conceptual frameworks underlying
them are profoundly changing\, not just for lexicon or phonology but also
for grammar and semantics. Languages thus adapt their expressive power to
changing needs of their language communities. They change because of fash
ions and new communication media (such as texting or twitter). They change
also because there is no ideal solution to verbal communication so that a
community will continue to navigate in a multi-criterion landscape trying
to increase communicative success and decrease cognitive effort for one a
rea while increasing complexity for another. \;
\n
\nI will
argue that it is worthwhile to try and model language as a complex adaptiv
e systems\, both from the viewpoint of linguistic theory\, which has so fa
r failed to come up with adequate explanations for this phenomenon\, and f
rom the viewpoint of AI because this challenge pushes us to develop new fo
rmalisms for grammar\, new language processing mechanisms that are more fl
exible than currently standard parsers and producers\, new learning mechan
isms that not only focus on parsing but also on producing in interaction.<
br />\n
\nThe talk will be illustrated with videoclips of our experim
ents with humanoid robots playing language games. \;
\nThe agents
are initialized with no or very limited forms of language and then develo
p grammars and lexicons in order to be successful in their language games.
Virginia Dignum is Associate Professor on Social Artificial Intellige nce at the Faculty of Technology Policy and Management at TU Delft. Her re search focuses on value-sensitive design of intelligent systems and multi- agent organisations\, in particular on the ethical and societal impact of AI. She is Executive Director of the Delft Design for Values Institute\, s ecretary of the International Foundation for Autonomous Agents and Multi-a gent Systems (IFAAMAS)\, member of the Executive Committee of the IEEE Ini tiative on Ethics of Autonomous Systems. She was co-chair of ECAI2021\, th e European Conference on AI\, and vice president of the BNVKI (Benelux AI Association).
\n\nAbstract \;
\nAs robots
and other AI systems move from being a tool to being teammates\, and are i
ncreasingly making decisions that directly affect society\,\, many questio
ns raise across social\, economic\, political\, technological\, legal\, et
hical and philosophical issues. Can machines make moral decisions? Should
artificial systems ever be treated as ethical entities? What are the legal
and ethical consequences of human enhancement technologies\, or cyber-gen
etic technologies? What are the consequences of extended government\, corp
orate\, and other organisational access to knowledge and predictions conce
rning citizen behaviour? How can moral\, societal and legal values be part
of the design process? How and when should governments and the general pu
blic intervene? \;
\n
\nAnswering these and related question
s requires a whole new understanding of Ethics with respect to control and
autonomy\, in the changing socio-technical reality. Means are needed to i
ntegrate moral\, societal and legal values with technological developments
in Artificial Intelligence\, both within the design process as well as pa
rt of the deliberation algorithms employed by these systems. In this talk
I discuss leading Ethics theories and propose alternative ways to model et
hical reasoning and discuss their consequences to the design of robots and
softbots. Depending on the level of autonomy and social awareness of AI s
ystems\, different methods for ethical reasoning are needed. Given that et
hics are dependent on the sociocultural context and are often only implici
t in deliberation processes\, methodologies are needed to elicit the value
s held by designers and stakeholders\, and to make these explicit can lead
to better understanding and trust on artificial autonomous systems. \
;
\nThe urgency of these issues is acknowledged by researchers and po
licy makers alike. Methodologies are needed to ensure ethical design of AI
systems\, including means to ensure accountability\, responsibility and t
ransparency (ART) in system design. \;
Eduard Hovy is a professor at the Language Technology Insti tute in the School of Computer Science at Carnegie Mellon University. He h olds adjunct professorships at universities in the US\, China\, and Canada \, and is co-Director of Research for the DHS Center for Command\, Control \, and Interoperability Data Analytics\, a distributed cooperation of 17 u niversities. Dr. Hovy completed a Ph.D. in Computer Science (Artificial In telligence) at Yale University in 1987\, and was awarded honorary doctorat es from the National Distance Education University (UNED) in Madrid in 201 3 and the University of Antwerp in 2021. He is one of the initial 17 Fello ws of the Association for Computational Linguistics (ACL) and also a Fello w of the Association for the Advancement of Artificial Intelligence (AAAI) . From 1989 to 2012 he directed the Human Language Technology Group at the Information Sciences Institute of the University of Southern California. Dr. Hovy&rsquo\;s research addresses several areas in Natural Language Pro cessing\, including machine reading of text\, question answering\, informa tion extraction\, automated text summarization\, the semi-automated constr uction of large lexicons and ontologies\, and machine translation. His con tributions include the co-development of the ROUGE text summarization eval uation method\, the BLANC coreference evaluation method\, the Omega ontolo gy\, the Webclopedia QA Typology\, the FEMTI machine translation evaluatio n classification\, the DAP text harvesting method\, the OntoNotes corpus\, and a model of Structured Distributional Semantics. In November 2021 his Google h-index was 67. Dr. Hovy is the author or co-editor of six books an d over 400 technical articles and is a popular invited speaker. In 2001 Dr . Hovy served as President of the ACL\, in 2001&ndash\;03 as President of the International Association of Machine Translation (IAMT)\, and in 2010& ndash\;11 as President of the Digital Government Society. Dr. Hovy regular ly co-teaches courses and serves on Advisory Boards for institutes and fun ding organizations in Germany\, Italy\, Netherlands\, and the USA.
\n\nAbstract \;
\nTrue intelligent agenthood (as
opposed to mere agency) is characterized by self-driven internal goal crea
tion and prioritization. Few AI systems enjoy the freedom today to autonom
ously decide what to do next\; even robots and planning systems start with
a fairly concrete goal and stop acting when they have achieved it. In a s
mall experimental project at CMU we have been exploring what it might mean
for a Natural Language text reading engine to experience a &lsquo\;hunger
for knowledge&rsquo\; that drives what it chooses to read and learn about
next\, in an ongoing manner. There is no overall goal other than trying t
o increase its understanding (coverage and interpretations) of the world a
s described in Wikipedia. The starting point is a sketchy representation o
f the Infoboxes of all the people listed in Wikipedia\, and the principal
criterion for choosing what to read about next is the desire to minimize k
nowledge gaps and remove inconsistencies. In contrast to Freebase\, Knowle
dge Graphs\, and other text mining projects\, internal generalization is c
entral to our work. To implement the system we combine traditional AI fram
e proposition representation for the basic information (to make it readabl
e by humans) with neural networks such as autoencoders to perform generali
zation and anomaly detection.
Mr. Luis Antunes holds a PhD in Computer Science from University o f Lisbon (2001). He has been a researcher in Artificial Intelligence since 1988 and published more than 80 refereed scientific papers. He was the fo under and first director of the Group of Studies in Social Simulation (GUE SS). Luis Antunes is on the Program Committee of some of the most importan t international conferences on Artificial Intelligence\, Multi-Agent Syste ms and Social Simulation\, such as AAMAS\, ECAI\, ESSA\, WCSS and MABS. He was co-chair of the international workshops MABS'\;05\, MABS'\;06\, MABS'\;07 on Multi-Agent-Based Simulation\, and co-editor of the Sprin ger-Verlag proceedings volumes. He is or was a member of the MABS Steering Committee\, of EUMAS Advisory Board\, member of ESSA Management Committee and of APPIA (Portuguese Association for AI) board of directors. Antunes hosted EUMAS 2006 and AAMAS 2008\, and ECAI 2010 as chair of the organisin g committee. He was the proponent and a co-chair of the first IJCAI worksh op on Social Simulation (SS@IJCAI 2009)\, and the founder of the first Por tuguese Workshop on Social Simulation as a Special Track of EPIA\, and the Program Chair of EPIA 2011.
\n\nPlease contact the event manager Ma
rilyn below for the following: \;
\n- Discounts for registering 5
or more participants.
\n- If you company requires a price quotation.
\nEvent Manager Contact: marilyn.b.turner(at)nyeventslist.com
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nYou can also contact us if you require a visa invitation letter\, after t
icket purchase. \;
\nWe can also provide a certificate of complet
ion for this event if required.
\n
\nNO REFUNDS ALLOWED ON REGIS
TRATIONS \;
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