Reasoning about responsibility in autonomous systems: challenges and opportunities
Ensuring the trustworthiness of autonomous systems and artificial intelligence is an
important interdisciplinary endeavour. In this position paper, we argue that this endeavour …
important interdisciplinary endeavour. In this position paper, we argue that this endeavour …
Environments for multiagent systems state-of-the-art and research challenges
It is generally accepted that the environment is an essential compound of multiagent
systems (MASs). Yet the environment is typically assigned limited responsibilities, or even …
systems (MASs). Yet the environment is typically assigned limited responsibilities, or even …
Roma: Multi-agent reinforcement learning with emergent roles
The affective tutoring system
MB Ammar, M Neji, AM Alimi, G Gouardères - Expert Systems with …, 2010 - Elsevier
Affective Computing is a new Artificial Intelligence area that deals with the possibility of
making computers able to recognize human emotions in different ways. This paper …
making computers able to recognize human emotions in different ways. This paper …
[HTML][HTML] Solving the many to many assignment problem by improving the Kuhn–Munkres algorithm with backtracking
H Zhu, D Liu, S Zhang, Y Zhu, L Teng, S Teng - Theoretical Computer …, 2016 - Elsevier
Abstract The Many to Many (M–M) assignment problem is an important open problem where
one task is assigned to many, but different, agents and one agent may undertake many, but …
one task is assigned to many, but different, agents and one agent may undertake many, but …