Using Normative Markov Decision Processes for evaluating electronic contracts

Representing and Evaluating Electronic Contracts with Normative Markov Decision Processes

This position paper summarizes the contributions resulting from the short term scientific mission (STSM) of the first author, from University Rey Juan Carlos, to the Kings College London. During this scientific mission, we have studied the impact of norms on the sequential decision making of rational agents, and how they can be modelled and quantitatively assessed. For this purpose, we put forw...

Accelerated decomposition techniques for large discounted Markov decision processes

Many hierarchical techniques to solve large Markov decision processes (MDPs) are based on the partition of the state space into strongly connected components (SCCs) that can be classified into some levels. In each level, smaller problems named restricted MDPs are solved, and then these partial solutions are combined to obtain the global solution. In this paper, we first propose a novel algorith...

Moving Towards Accountability for Reasonableness – A Systematic Exploration of the Features of Legitimate Healthcare Coverage Decision-Making Processes Using Rare Diseases and Regenerative Therapies as a Case Study

Background The accountability for reasonableness (A4R) framework defines 4 conditions for legitimate healthcare coverage decision processes: Relevance, Publicity, Appeals, and Enforcement. The aim of this study was to reflect on how the diverse features of decision-making processes can be aligned with A4R conditions to guide decisio...

Norm Conflict Resolution in Stochastic Domains

Artificial agents will need to be aware of human moral and social norms, and able to use them in decision-making. In particular, artificial agents will need a principled approach to managing conflicting norms, which are common in human social interactions. Existing logic-based approaches suffer from normative explosion and are typically designed for deterministic environments; reward-based appr...

Design and evaluation of norm-aware agents based on Normative Markov Decision Processes