A5039777446- Modular Robots and Swarm Intelligence
- Evolutionary Algorithms and Applications
- Evolution and Genetic Dynamics
- Spacecraft Design and Technology
- Design Education and Practice
- Origins and Evolution of Life
- Evolutionary Game Theory and Cooperation
- RNA and protein synthesis mechanisms
- Scientific Computing and Data Management
- Gene Regulatory Network Analysis
- Genomics and Phylogenetic Studies
- Identification and Quantification in Food
- Microbial Metabolic Engineering and Bioproduction
- Cellular Automata and Applications
- Fault Detection and Control Systems
- Topology Optimization in Engineering
- Music Technology and Sound Studies
- Structural Health Monitoring Techniques
- Color Science and Applications
- DNA and Biological Computing
- Spectroscopy and Chemometric Analyses
- Reinforcement Learning in Robotics
- Advanced Statistical Methods and Models
- Distributed and Parallel Computing Systems
- Cultural Heritage Materials Analysis
University of York
2016-2025
Cybula (United Kingdom)
2012-2013
University of Leeds
2007-2008
We describe the content and outcomes of First Workshop on Open-Ended Evolution: Recent Progress Future Milestones (OEE1), held during ECAL 2015 conference at University York, UK, in July 2015. briefly summarize workshop's talks, identify main themes that emerged from open discussions. Two important conclusions discussions are: (1) idea pluralism about OEE-it seems clear there is more than one interesting kind OEE; (2) importance distinguishing observable behavioral hallmarks systems...
Genetic algorithms (GAs) have been used to evolve optimal/sub-optimal solutions of many problems. When using GAs for evolving solutions, often fitness evaluation is the most computationally expensive, and this discourages researchers from applying challenging This paper presents an approach generating offspring based on a local landscape exploration increase speed search better solutions. The proposed algorithm, "Fitness Landscape Exploration Algorithm" (FLEX-GA) can be applied single...
Biocodicological analysis of parchments from manuscript books and archives offers unprecedented insight into the materiality medieval literacy. Using ZooMS for animal species identification, we explored almost entire library all preserved single leaf charters a Cistercian monastery (Orval Abbey, Belgium). Systematic non-invasive sampling parchment collagen was performed on every charter first bifolium quire 118 codicological units composing (1490 samples in total). Within genuine production...
We present a novel stringmol-based artificial chemistry system modelled on the universal constructor architecture (UCA) first explored by von Neumann. In UCA, machines interact with an abstract description of themselves to replicate copying and constructing that encodes. DNA-based replication follows this architecture, DNA being description, polymerase copier, ribosome principal machine in expressing what is encoded DNA. This semantically closed as defines means itself description. series...
Abstract Motivation Classification of archaeological animal samples is commonly achieved via manual examination matrix-assisted laser desorption/ionization time-of-flight (MALDI-ToF) spectra. This a time-consuming process which requires significant training and does not produce measure confidence in the classification. We present new, automated method for arriving at classification MALDI-ToF sample, provided collagen sequences each candidate species are available. The approach derives set...
Parasitism emerges readily in models and laboratory experiments of RNA world would lead to extinction unless prevented by compartmentalization or spatial patterning. Modelling replication as an active computational process opens up many degrees freedom that are exploited meet environmental challenges, modify the evolutionary itself. Here, we use automata chemistry RNA-world study emergence parasitism complexity evolves response. The system is initialized with a hand-designed replicator...
Open-ended evolutionary systems offer us the tantalising prospect of creating artificial life from simple precursors. One issues in designing open ended is that there exist few metrics for measuring their activity. Current measures activity are only applicable to which fitness a single component defined by an explicit function. However, this not guaranteed where significant part intrinsic (for example caused interactions between components). In paper, we evaluate new approach problem...
Automata chemistries are good vehicles for experimentation in open-ended evolution, but they by necessity complex systems whose low-level properties require careful design. To aid the process of designing automata chemistries, we develop an abstract model that classifies features a chemistry from physical (bottom up) perspective and biological (top down) perspective. There two levels: things can evolve, cannot. We equate evolving level with biology non-evolving physics. design our initial...
A buffer is an important element in a production line and its allocation influences the throughput inventory of line. The problem can be framed as multi-objective optimisation often addressed by using meta-heuristic algorithms, such evolutionary algorithms. However, these algorithms primarily focus on "genetic evolution" aspect do not take to account impact biological "organism development" process, potentially constraining exploration solution space. In this paper, bio-inspired...
We argue that attempting to quantify open-endedness misses the point: The nature of is such an open-ended system will eventually move outside its current model behavior, and hence any measure based on model. This presents a challenge for analyzing Artificial Life systems, leading us conclude focus should be understanding mechanisms underlying open-endedness, not simply it. To demonstrate this, we apply several measures eight long experimental runs spatial version Stringmol automata...
Evolutionary Developmental biology (EvoDevo) is a process of directed growth whose mechanisms could be used in an evolutionary algorithm for engineering applications. Engineering design can thought as search through high-dimensional space small number solutions that are optimal by various metrics. Configuring this within EvoDevo may allow developmental processes to provide facility give more immediate, localised feedback the system it grows into its final configuration (form). This approach...
The bacterial genome is well understood by biologists. Although its efficiency and adaptability should make it a good model for evolutionary algorithms, the tightly coupled with components of metabolism, referred to here as metabolome. This paper explores an approach modelling artificial metabolome in efficient modular manner, so that analogues organisation gene regulation can be implemented algorithms. We propose particulate metabolic pathways which constituents drift fixed, limited space...
We describe a new approach to sharing software simulations that is of great potential benefit Artificial Life researchers. youShare an online collaborative facility allows users upload data, and in the form services. An attached execution environment services be run over heterogeneous cluster compute nodes, where service infrastructure guarantees will executed correct environment, provide consistent results. It made available as regardless operating system they upon. This maintained more...
Engineering design has traditionally involved human engineers manually creating and iterating on designs based their expertise knowledge. In Bio-inspired Evolutionary Development (EvoDevo), generative algorithms are used to ex-plore a much larger space that may not have ever been considered by engineers. However, for complex systems, the designer is often required start EvoDevo process with an initial (seed) which development will optimise. The question is: good starting seed yield set of...
We report a study of networks constructed from mutation patterns observed in biology. These form evolutionary trajectories, which allow for both frequent substitution closely related structures, and small distance between any two structures. properties define the small-world phenomenon. The behavior tokens an evolvable artificial chemistry determines its ability to explore space. This concept is underrepresented previous work on string-based chemistries. argue that will confer better...
We demonstrate a new system for condition monitoring using the cloud. The combines state of art pattern search capability with youShare, platform that allows people to run compute-intensive research in an ordered manner over internet. Data from sensors distributed across one or more assets at sites are uploaded cloud compute resource. uploading triggers deployment range services, and is capable rapidly detecting novel patterns data. outputs these processes archived as matter course, but also...