000009059 001__ 9059
000009059 005__ 20240315093737.0
000009059 020__ $$a978-3-030-82016-9
000009059 022__ $$a0302-9743
000009059 0247_ $$2DOI$$a10.1007/978-3-030-82017-6_9
000009059 037__ $$aCONFERENCE
000009059 039_9 $$a2024-03-15 09:37:37$$b0$$c2022-06-21 14:56:16$$d0$$c2021-12-17 15:25:48$$d0$$c2021-11-26 14:26:23$$d0$$c2021-11-26 11:49:22$$d1000016$$c2021-11-25 10:16:51$$d0$$y2021-11-25 10:16:44$$z1000063
000009059 041__ $$aeng
000009059 245__ $$aTowards explainable visionary agents :$$blicense to dare and imagine
000009059 260__ $$aLondon, UK$$b3-7 May 2021
000009059 269__ $$a2021-05
000009059 300__ $$aPp. 139-157
000009059 490__ $$vLecture Notes in Computer Science, vol. 12688
000009059 506__ $$avisible
000009059 520__ $$9eng$$aSince their appearance, computer programs have embodied discipline and structured approaches and methodologies. Yet, to this day, equipping machines with imaginative and creative capabilities remains one of the most challenging and fascinating goals we pursue. Intelligent software agents can behave intelligently in well-defined scenarios, relying on Machine Learning (ML), symbolic reasoning, and the ability of their developers for tailoring smart behaviors to specific application domains. However, to forecast the evolution of all possible scenarios is unfeasible. Thus, intelligent agents should autonomously/creatively adapt to the world’s mutability. This paper investigates the meaning of imagination in the context of cognitive agents. In particular, it addresses techniques and approaches to let agents autonomously imagine/simulate their course of action and generate explanations supporting it, and formalizes thematic challenges. Accordingly, we investigate research areas including: (i) reasoning and automatic theorem proving to synthesize novel knowledge via inference; (ii) automatic planning and simulation, used to speculate over alternative courses of action; (iii) machine learning and data mining, exploited to induce new knowledge from experience; and (iv) biochemical coordination, which keeps imagination dynamic by continuously reorganizing it.
000009059 540__ $$acorrect
000009059 592__ $$aHEG-VS
000009059 592__ $$bInstitut Informatique de gestion
000009059 592__ $$cEconomie et Services
000009059 65017 $$aInformatique
000009059 6531_ $$9eng$$amulti-agent systems
000009059 6531_ $$9eng$$aimagination
000009059 6531_ $$9eng$$aBDI
000009059 6531_ $$9eng$$acognitive agents
000009059 6531_ $$9eng$$aXAI
000009059 655_7 $$apublished full paper
000009059 700__ $$aCiatto, Giovanni$$uUniversity of Bologna, Cesena, Italy
000009059 700__ $$aNajjar, Amro$$uUniversity of Luxembourg, Esch-sur-Alzette, Luxembourg
000009059 700__ $$aCalbimonte, Jean-Paul$$uUniversity of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)
000009059 700__ $$aCalvaresi, Davide$$uUniversity of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)
000009059 711__ $$aThird International Workshop, EXTRAAMAS 2021$$cOnline$$d2021-05-03$$m2021-05-07
000009059 773__ $$tExplainable and Transparent AI and Multi-Agent Systems : Third International Workshop, EXTRAAMAS 2021, Virtual Event, May 3–7, 2021, Revised Selected Papers
000009059 8564_ $$s317688$$uhttps://arodes.hes-so.ch/record/9059/files/Author%20postprint.pdf$$94ee006ac-0b00-4e91-83a9-ec2b6bbe6cd8
000009059 906__ $$aGREEN
000009059 909CO $$ooai:hesso.tind.io:9059$$pECONOMIESERVICES_ALL$$pGLOBAL_SET$$pECONOMIESERVICES_CONFERENCE$$qDOMAINE_ECONOMIESERVICE_CONFERENCE
000009059 950__ $$aI1
000009059 980__ $$aconference
000009059 981__ $$aconference