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Self-Governing Hybrid Societies and Deception
Self-governing hybrid societies are multi-agent systems where humans and machines interact by adapting to each other’s behaviour. Advancements in Artificial Intelligence (AI) have brought an increasing hybridisation of our societies, where one particular ...
Faster MIL-based Subgoal Identification for Reinforcement Learning by Tuning Fewer Hyperparameters
Various methods have been proposed in the literature for identifying subgoals in discrete reinforcement learning (RL) tasks. Once subgoals are discovered, task decomposition methods can be employed to improve the learning performance of agents. In this ...
Decision Making for Self-Adaptation Based on Partially Observable Satisfaction of Non-Functional Requirements
Approaches that support the decision-making of self-adaptive and autonomous systems (SAS) often consider an idealized situation where (i) the system’s state is treated as fully observable by the monitoring infrastructure, and (ii) adaptation actions are ...
A Game-Theoretical Self-Adaptation Framework for Securing Software-Intensive Systems
Security attacks present unique challenges to the design of self-adaptation mechanism for software-intensive systems due to the adversarial nature of the environment. Game-theoretical approaches have been explored in security to model malicious behaviors ...
