Towards Explainable Visionary Agents: License to Dare and Imagine


pagemagnifierBibTeX_logo.pngmagnifierpage_white_acrobatmagnifier

Giovanni Ciatto, Amro Najjar, Jean-Paul Calbimonte, Davide Calvaresi

Davide Calvaresi, Amro Najjar, Michael Winikoff, Kary Främling (eds.)
“Explainable and Transparent AI and Multi-Agent Systems. Third International Workshop, EXTRAAMAS 2021, Virtual Event, May 3–7, 2021, Revised Selected Papers”, pages 139-157
Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence) 12688
Springer Nature, Basel, Switzerland
2021

Since 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 their developers' capability of tailoring smart behaviors on the particular application domain(s). However, to forecast all possible scenarios’ evolutions 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, addresses techniques and approaches to let agents autonomously imagine/simulate their course of action and generate explanations supporting it, and formalizes thematic challenges. In particular, we investigated research areas such as: i) reasoning and automatic theorem proving (which is exploited to synthesize novel knowledge via inference), ii) automatic planning and simulation (which is exploited to speculate over alternative courses of action), iii) machine learning and data mining (which are exploited to induce new knowledge from experience), and (iv) biochemical coordination (which keeps imagination dynamic by continuously reorganizing it).

(keywords) Multi-agent systems; Imagination; BDI; Cognitive agents; XAI

Talks

Journals & Series

Events

  • EXplainable and TRAnsparent AI and Multi-Agent Systems: Third International Workshop (EXTRAAMAS 2021) — 03/05/2021–04/05/2021

Tags: EXPECTATION

Publication

— authors

Giovanni Ciatto, Amro Najjar, Jean-Paul Calbimonte, Davide Calvaresi

— editors

Davide Calvaresi, Amro Najjar, Michael Winikoff, Kary Främling

— status

published

— sort

paper in proceedings

— publication date

2021

— volume title

Explainable and Transparent AI and Multi-Agent Systems. Third International Workshop, EXTRAAMAS 2021, Virtual Event, May 3–7, 2021, Revised Selected Papers

— series

Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence

— volume

12688

— pages

139-157

— number of pages

19

— address

Basel, Switzerland

URLs

original page

identifiers

— IRIS

11585/842452

— WoS / ISI

000691781800009

— ISSN

0302-9743

— E-ISSN

1611-3349

— ISBN

978-3-030-82016-9

— E-ISBN

978-3-030-82017-6

files

Open Access PDF

Partita IVA: 01131710376 — Copyright © 2008–2023 APICe@DISI – PRIVACY