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

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

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

@incollection{imagination-extraamas2021,
address = {Basel, Switzerland},
author = {Ciatto, Giovanni and Najjar, Amro and Calbimonte, Jean-Paul and Calvaresi, Davide},
booktitle = {Explainable and Transparent AI and Multi-Agent Systems. Third International Workshop, EXTRAAMAS 2021, Virtual Event, May 3--7, 2021, Revised Selected Papers},
doi = {10.1007/978-3-030-82017-6_9},
editor = {Calvaresi, Davide and Najjar, Amro and Winikoff, Michael and Fr{\"a}mling, Kary},
isbn = {978-3-030-82016-9},
isbn-online = {978-3-030-82017-6},
issn = {0302-9743},
keywords = {Multi-agent systems; Imagination; BDI; Cognitive agents; XAI},
pages = {139--157},
publisher = {Springer Nature},
series = {Lecture Notes in Computer Science},
subseries = {Lecture Notes in Artificial Intelligence},
title = {Towards Explainable Visionary Agents: License to Dare and Imagine},
url = {http://link.springer.com/10.1007/978-3-030-82017-6_9},
volume = 12688,
year = 2021}

Tags: EXPECTATION
    

Publication

Towards Explainable Visionary Agents: License to Dare and Imagine

— status

published  

— authors

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

— editors

Davide Calvaresi, Amro Najjar, Michael Winikoff, Kary Främling

URLs & IDs

original page

— DOI

10.1007/978-3-030-82017-6_9

— print ISSN

0302-9743

— online ISSN

1611-3349

— print ISBN

978-3-030-82016-9

— online ISBN

978-3-030-82017-6

BibTeX

— BibTeX ID
imagination-extraamas2021
— BibTeX category
incollection

APICe

— event
EXTRAAMAS 2021
— journal/series
LNCS

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