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024 7 _a10.1007/978-3-030-30391-4
_2doi
050 4 _aQA76.76.I58
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_2bicssc
072 7 _aCOM004000
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082 0 4 _a006.30285436
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245 1 0 _aExplainable, Transparent Autonomous Agents and Multi-Agent Systems
_h[electronic resource] :
_bFirst International Workshop, EXTRAAMAS 2019, Montreal, QC, Canada, May 13–14, 2019, Revised Selected Papers /
_cedited by Davide Calvaresi, Amro Najjar, Michael Schumacher, Kary Främling.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aX, 221 p. 66 illus., 38 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v11763
505 0 _aExplanation and Transparency -- Towards a transparent deep ensemble method based on multiagent Argumentation -- Effects of Agents' Transparency on Teamwork -- Explainable Robots -- Explainable Multi-Agent Systems through Blockchain Technology Authors -- Explaining Sympathetic Actions of Rational Agents -- Conversational Interfaces for Explainable AI: A Human-Centered Approach -- Opening the Black Box -- Explanations of Black-Box Model Predictions by Contextual Importance and Utility -- Explainable Artificial Intelligence based Heat Recycler Fault Detection in Air Handling Unit -- Explainable Agent Simulations -- Explaining Aggregate Behaviour in Cognitive Agent Simulations using Explanation -- BEN : An Agent Architecture for Explainable and Expressive Behavior in Social Simulation -- Planning and Argumentation -- Temporal Multiagent Plan Execution: Explaining what Happened -- Explainable Argumentation for Wellness Consultation -- Explainable AI and Cognitive Science -- How Cognitive Science Impacts AI and What We Can Learn From It.
520 _aThis book constitutes the proceedings of the First International Workshop on Explainable, Transparent Autonomous Agents and Multi-Agent Systems, EXTRAAMAS 2019, held in Montreal, Canada, in May 2019. The 12 revised and extended papers presented were carefully selected from 23 submissions. They are organized in topical sections on explanation and transparency; explainable robots; opening the black box; explainable agent simulations; planning and argumentation; explainable AI and cognitive science.
650 0 _aMultiagent systems.
650 0 _aRobotics.
650 0 _aMachine learning.
650 0 _aUser interfaces (Computer systems).
650 0 _aHuman-computer interaction.
650 0 _aComputers, Special purpose.
650 1 4 _aMultiagent Systems.
650 2 4 _aRobotics.
650 2 4 _aMachine Learning.
650 2 4 _aUser Interfaces and Human Computer Interaction.
650 2 4 _aSpecial Purpose and Application-Based Systems.
700 1 _aCalvaresi, Davide.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aNajjar, Amro.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSchumacher, Michael.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aFrämling, Kary.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030303907
776 0 8 _iPrinted edition:
_z9783030303921
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v11763
856 4 0 _uhttps://doi.org/10.1007/978-3-030-30391-4
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