10 citations · 29 across the 6 of their papers we have counts for
7 papers
Multi-Scale Asset Distribution Model for Dynamic Environments
Payam Zahadat, Ada Diaconescu
In many self-organising systems the ability to extract necessary resources from the external environment is essential to the system's growth and survival. Examples include the extr…
An Information-oriented Model of Multi-Scale (Feedback) Systems
Ada Diaconescu, Louisa Jane Di Felice, Patricia Mellodge
Multi-scale structures are prevalent in both natural and artificial systems, as they can handle increasing complexity. Several terms are employed almost interchangeably across vari…
Timing Configurations Affect the Macro-Properties of Multi-Scale Feedback Systems
Patricia Mellodge, Ada Diaconescu, Louisa Jane Di Felice
Multi-scale feedback systems, where information cycles through micro- and macro-scales leading to adaptation, are ubiquitous across domains, from animal societies and human organis…
To do or not to do: finding causal relations in smart homes
Kanvaly Fadiga, Etienne Houzé, Ada Diaconescu +1
Research in Cognitive Science suggests that humans understand and represent knowledge of the world through causal relationships. In addition to observations, they can rely on exper…
A Decentralised Self-Healing Approach for Network Topology Maintenance
Arles Rodríguez, Jonatan Gómez, Ada Diaconescu
In many distributed systems, from cloud to sensor networks, different configurations impact system performance, while strongly depending on the network topology. Hence, topological…
Software Engineering for Intelligent and Autonomous Systems: Report from the GI Dagstuhl Seminar 18343
Simos Gerasimou, Thomas Vogel, Ada Diaconescu
Software systems are increasingly used in application domains characterised by uncertain environments, evolving requirements and unexpected failures; sudden system malfunctioning r…
Holarchic Structures for Decentralized Deep Learning - A Performance Analysis
Evangelos Pournaras, Srivatsan Yadhunathan, Ada Diaconescu
Structure plays a key role in learning performance. In centralized computational systems, hyperparameter optimization and regularization techniques such as dropout are computationa…