TY  - CONF
T1  - Towards Explainable Visionary Agents: License to Dare and Imagine
A1  - giovanni ciatto
A1  - Najjar, Amro
A1  - Calbimonte, Jean-Paul
A1  - Calvaresi, Davide
TI  - Explainable and Transparent AI and Multi-Agent Systems EXTRAAMAS 2021
T3  - LNCS
Y1  - 2021
VL  - 12688
SP  - 139
EP  - 157
PB  - Springer
AD  - Cham
SN  - 978-3-030-82017-6
M2  - doi: https://doi.org/10.1007/978-3-030-82017-6_9
KW  - BDI
KW  - cognitive  agents
KW  - imagination
KW  - Multi-agent  systems
KW  - XAI.
N2  - 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 the ability of their developers to 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.
ER  -