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DTSTAMP:20230509T160625Z
UID:28B66B56-A04C-4923-ACFD-048E246FFC31
DTSTART;TZID=Europe/Skopje:20230509T103000
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DESCRIPTION:Abstract – We are concerned with the Symbiotic Autonomous Sys
 tems (SAS) meant as advanced intelligent information systems which involve
  a synergistic communication\, cooperation and/or collaboration between th
 e a broadly perceived autonomous systems\, and a cognition based part\, re
 lated to the human stakeholder. Notable examples can be robots\, bots\, ch
 atbots\, etc. which are meants to autonomously undertake some useful actio
 ns\, usually in groups. First\, we briefly clarify their specifics\, mostl
 y in the sense of having a physical form (robot) or not\, just being piece
 s of software (bots)\, and also maybe using interaction with the human use
 r (chatbots). Then\, we advocate that the most effective and efficient way
  of using such autonomous systems\, at least for the time being\, is an ac
 tive\, or proactive\, involvement of the human being\, exemplified by the 
 ‘Human-in-the-Loop’ architecture. Finally\, we clarife the essence of 
 the so-called 4C novel paradigm: communication\, cooperation\, coordinatio
 n and collaboration.\n\nThis combination should guarantee an added value i
 n terms of the effectiveness and efficiency of the systems’ operation an
 d\, above all\, problem solving – which are the essence of the robot\, b
 ot or chatbot operations – in which a considerable part is related to de
 cision making\, also profitting from some added values implied by\, for in
 stance\, some inspirations from psychology\, cognitive sciences\, decision
  sciences\, etc. which is necessary in the case of the key role of the hum
 an being. Basically\, we are concerned with an effective and efficient set
 ting in which the human being is still a decisive stakeholder but he/she s
 hould be aided or supported by some additional „units”\, humans (e.g. 
 advisors) or „machines” (e.g. algorithms and computer systems). The hu
 man being should not be replaced but supported (augmented)\, at least for 
 dealing with sophisticated tasks.\n\nWe first consider a seting when a hum
 an decision maker\, who knows about the domain of his activities but not n
 ecessarily about solution tools\, is aided by a domain expert who knows so
 lution tools but not necessarily the domain\; this can also be\, e.g.\, a 
 robot\, bot or chatbot. We advocate the use of the judge-advisor type appr
 oaches. They are augmented with some AI (artificial intelligence) tools an
 d techniques\, notably machine learning models which can help find pattern
 s and relationships governing the problem and thus efficient solution.\n\n
 We also advocate the implementation of such a synergistic operation by emp
 loying a decision support system (DSS) to combine the power of the compute
 r and the power of the humans\, in the spirit of a socalled AI-enabled DSS
 s which employ advanced tools and techniques of AI (artificial intelligenc
 e) for the gathering and analysis of data and evidence\, identification an
 d diagnosis of problems\, proposing courses of actions with their analyses
 \, etc. This should help attain comprehensive and trustworthy procedures f
 or a better joint operation of human with advanced robots\, bots or chatbo
 ts that is crucial for virtually all modern compex problem solving.\n\nSpe
 aker(s): Janusz Kacprzyk\, Janusz Kacprzyk\n\nRuger Boskovik 18\, Skopje\,
  Macedonia\, Macedonia
LOCATION:Ruger Boskovik 18\, Skopje\, Macedonia\, Macedonia
ORGANIZER:gorjan.nadzinski@gmail.com
SEQUENCE:20
SUMMARY:AI-enabled Human-in-the-Loop Symbiotic Autonomous Systems: Towards 
 Effective and Efficient Complex Problem Solving with robots\, bots\, chatb
 ots…
URL;VALUE=URI:https://events.vtools.ieee.org/m/360395
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Abstract &amp;ndash\; We are concerned with th
 e Symbiotic Autonomous Systems (SAS) meant as advanced intelligent informa
 tion systems which involve a synergistic communication\, cooperation and/o
 r collaboration between the a broadly perceived autonomous systems\, and a
  cognition based part\,&amp;nbsp\; related to the human stakeholder. Notable e
 xamples can be robots\, bots\, chatbots\, etc. which are meants to autonom
 ously undertake some useful actions\, usually in groups. First\, we briefl
 y clarify their specifics\, mostly in the sense of having a physical form 
 (robot) or not\, just being pieces of software (bots)\, and also maybe usi
 ng interaction with the human user (chatbots). Then\, we advocate that the
  most effective and efficient way of using such autonomous systems\, at le
 ast for the time being\, is an active\, or proactive\, involvement of the 
 human being\,&amp;nbsp\; exemplified by the &amp;lsquo\;Human-in-the-Loop&amp;rsquo\; 
 architecture. Finally\, we clarife the essence of the so-called 4C novel p
 aradigm: communication\, cooperation\, coordination and collaboration.&lt;/p&gt;
 \n&lt;p&gt;This combination should guarantee an added value in terms of the effe
 ctiveness and efficiency of the systems&amp;rsquo\; operation and\, above all\
 , problem&amp;nbsp\; solving &amp;ndash\; which are the essence of the robot\, bot
  or chatbot operations &amp;ndash\; in which a considerable part is related to
  decision making\, also profitting from some added values implied by\, for
  instance\, some inspirations from psychology\, cognitive sciences\, decis
 ion sciences\, etc. which is necessary in the case of the key role of the 
 human being. Basically\, we are concerned with an effective and efficient 
 setting in which the human being is still a decisive stakeholder but he/sh
 e should be aided or supported by some additional &amp;bdquo\;units&amp;rdquo\;\, 
 humans (e.g. advisors) or &amp;bdquo\;machines&amp;rdquo\; (e.g. algorithms and co
 mputer systems). The human being should not be replaced but supported (aug
 mented)\, at least for dealing with sophisticated tasks.&lt;/p&gt;\n&lt;p&gt;We first 
 consider a seting when a human decision maker\, who knows about the domain
  of his activities but not necessarily about solution tools\, is aided by 
 a domain expert who knows solution tools but not necessarily the domain\; 
 this can also be\, e.g.\, a robot\, bot or chatbot. We advocate the use of
  the judge-advisor type approaches. They are augmented with some AI (artif
 icial intelligence) tools and techniques\, notably machine learning models
  which can help find patterns and relationships governing the problem and 
 thus efficient solution.&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;We also advocate the implementatio
 n of such a synergistic operation by employing a decision support system (
 DSS) to combine the power of the computer and the power of the humans\, in
  the spirit of a socalled AI-enabled DSSs which employ advanced tools and 
 techniques of AI (artificial intelligence) for the gathering and analysis 
 of data and evidence\, identification and diagnosis of problems\, proposin
 g courses of actions with their analyses\, etc. This should help attain co
 mprehensive and trustworthy procedures for a better joint operation of hum
 an with advanced robots\, bots or chatbots that is crucial for virtually a
 ll modern compex problem solving.&amp;nbsp\;&lt;/p&gt;
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