Titlebook: Autonomous Agents and Multiagent Systems. Best and Visionary Papers; AAMAS 2023 Workshops Francesco Amigoni,Arunesh Sinha Conference procee

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impaction

The Value of?Knowledge: Joining Reward and?Epistemic Certainty Optimisation for?Anxiety-Sensitive Pl, concentrating on expected values and disregarding the degree of exposure to uncertainty. This paper introduces a formalism derived from Partially Observable Markov Decision Processes (POMDPs) to give the first model based on cognitive psychology of the anxiety induced by epistemic uncertainty (i.e

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Discrete-Choice Multi-agent Optimization: Decentralized Hard Constraint Satisfaction for?Smart Citieo targets. Decentralized multi-agent methods for socio-technical optimization of large-scale complex infrastructures such as energy and transport networks are scalable and more privacy-preserving by design. However, they mainly focus on satisfying soft constraints to remain cost-effective. This pape

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Neonatal

Discovery and?Analysis of?Rare High-Impact Failure Modes Using Adversarial RL-Informed Samplingcan be difficult to verify that these learning agents do not have critical failure modes. Standard verification and validation methods often do not apply directly to learning agents and Monte Carlo methods have difficulty covering even a small fraction of the state space, especially in multiagent sy

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Anxiety Among Migrants - Questions for?Agent Simulation(and very incomplete) review of emotion modelling in literature. It asks the question of how to translate these into agent-based modelling, and whether this can be orthogonal to . modelling of goals and capabilities of agents. This short paper is offered as a motivator for discussion, rather than a

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