Preprints (not yet peer-reviewed)

30 downloads
43 views

Causality testing methods are being widely used in various disciplines of science. Model-free methods for causality estimation are very useful as the underlying model generating the data is often unknown. However, existing model-free measures assume separability...

["Adaptive and Self-Organizing Systems","Data Science","Scientific Computing and Simulation"]
doi:10.7287/peerj.preprints.27416v1
101 downloads
298 views

Evolutionary algorithms often incorporate ecological concepts to help maintain diverse populations and drive continued innovation. However, while there is strong evidence for the value of ecological dynamics, a lack of overarching theoretical framework renders...

["Computational Biology","Adaptive and Self-Organizing Systems","Data Mining and Machine Learning","Theory and Formal Methods"]
doi:10.7287/peerj.preprints.27315v1
122 downloads
153 views

Building more open-ended evolutionary systems can simultaneously advance our understanding of biology, artificial life, and evolutionary computation. In order to do so, however, we need a way to determine when we are moving closer to this goal. We propose a set...

["Computational Biology","Adaptive and Self-Organizing Systems","Agents and Multi-Agent Systems","Scientific Computing and Simulation"]
doi:10.7287/peerj.preprints.27249v3
69 downloads
100 views

MAP-Elites is an evolutionary computation technique that has proven valuable for exploring and illuminating the genotype-phenotype space of a computational problem. In MAP-Elites, a population is structured based on phenotypic traits of prospective solutions; each...

["Adaptive and Self-Organizing Systems","Data Mining and Machine Learning"]
doi:10.7287/peerj.preprints.27154v1
41 downloads
71 views

Tags are evolvable labels that provide genetic programs a flexible mechanism for specification. Tags are used to label and refer to programmatic elements, such as functions or jump targets. However, tags differ from traditional, more rigid methods for handling...

["Adaptive and Self-Organizing Systems","Artificial Intelligence"]
doi:10.7287/peerj.preprints.27122v1
118 downloads
266 views

The optimal selection of a natural reserve (OSRN) is an optimisation problem with a binary domain. To solve this problem the metaheuristic algorithm Particle Swarm Optimization (PSO) has been chosen. The PSO algorithm has been designed to solve problems in real...

["Adaptive and Self-Organizing Systems","Algorithms and Analysis of Algorithms","Artificial Intelligence","Autonomous Systems","Optimization Theory and Computation"]
doi:10.7287/peerj.preprints.26941v2
60 downloads
124 views

We introduce SignalGP, a technique for creating digital organisms that harnesses the event-driven programming paradigm. These organisms can evolve to automatically react to signals from the environment or from other agents in a biologically-inspired manner. In...

["Adaptive and Self-Organizing Systems","Agents and Multi-Agent Systems","Artificial Intelligence"]
doi:10.7287/peerj.preprints.26921v1
282 downloads
357 views

Bitcoin is a crypto currency system that has been rapidly adopted due to its anonymity and decentralized properties. Blockchain is the underpinning technology that maintains the Bitcoin transaction ledger. The blockchain network operates in a state of consensus,...

["Adaptive and Self-Organizing Systems","Autonomous Systems","Cryptography","Data Mining and Machine Learning","Network Science and Online Social Networks"]
doi:10.7287/peerj.preprints.26911v1
115 downloads
280 views

Fine-scale evolutionary dynamics can be challenging to tease out when focused on broad brush strokes of whole populations over long time spans. We propose a suite of diagnostic metrics that operate on lineages and phylogenies in digital evolution experiments with...

["Computational Biology","Adaptive and Self-Organizing Systems","Scientific Computing and Simulation"]
doi:10.7287/peerj.preprints.26883v1
876 downloads
1,909 views

Intelligence and consciousness have fascinated humanity for a long time and we have long sought to replicate this in machines. In this work we show some design principles for a compassionate and conscious artificial intelligence. We present a computational framework...

["Adaptive and Self-Organizing Systems","Agents and Multi-Agent Systems","Artificial Intelligence"]
doi:10.7287/peerj.preprints.3502v2
86 downloads
303 views

The immune system is a distributed decentralized system that functions without any centralized control. The immune system has millions of cells that function somewhat independently and can detect and respond to pathogens with considerable speed and efficiency....

["Computational Biology","Adaptive and Self-Organizing Systems","Agents and Multi-Agent Systems","Autonomous Systems"]
doi:10.7287/peerj.preprints.3150v2
46 downloads
226 views

We propose a series of ODE systems to model the various dynamics of human-Borg interaction during a Borg invasion. These models, progressively developed one after the other, could provide humanity and other peace-loving intergalactic species the necessary mathematical...

["Computational Biology","Adaptive and Self-Organizing Systems","Scientific Computing and Simulation"]
doi:10.7287/peerj.preprints.3198v1
201 downloads
686 views

An immune system inspired Artificial Immune System (AIS) algorithm is presented, and is used for the purposes of automated program verification. Relevant immunological concepts are discussed and the field of AIS is briefly reviewed. It is proposed to use this AIS...

["Computational Biology","Adaptive and Self-Organizing Systems","Theory and Formal Methods"]
doi:10.7287/peerj.preprints.2690v3
455 downloads
1,520 views

"Publication forms the core structure supporting the development and transmission of scientific knowledge" (Galbraith2015). Yet, with the WorldWideWeb a dominant part of current scientific publication and information-dissemination, internet "publication" is still...

["Adaptive and Self-Organizing Systems","Computer Education","Computer Networks and Communications","Digital Libraries","World Wide Web and Web Science"]
doi:10.7287/peerj.preprints.1568v13
161 downloads
451 views

Sparse coding is an effective operating principle for the brain, one that can guide the discovery of features and support the learning of assocations. Here we show how spiking neurons with discrete dendrites can learn sparse codes via an online, nonlinear Hebbian...

["Computational Biology","Adaptive and Self-Organizing Systems","Artificial Intelligence","Data Mining and Machine Learning"]
doi:10.7287/peerj.preprints.2595v1
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