Preprints (not yet peer-reviewed)

84 downloads
99 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
28 downloads
52 views

The emergence of new replicating entities from the union of simpler entities represent some of the most profound events in natural evolutionary history. Such transitions in individuality are essential to the evolution of the most complex forms of life. As such,...

["Agents and Multi-Agent Systems"]
doi:10.7287/peerj.preprints.27275v2
53 downloads
114 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
765 downloads
1,779 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
71 downloads
293 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
179 downloads
609 views

H.E.L.P is an early warning dashboard system built for the prevention, mitigation and assessment of disasters, be they earthquakes, fires, or meteorological systems. It was built to be easily manageable, customizable and accessible to all users, to facilitate humanitarian...

["Agents and Multi-Agent Systems","Databases","Emerging Technologies","Real-Time and Embedded Systems","Spatial and Geographic Information Systems"]
doi:10.7287/peerj.preprints.2229v2
248 downloads
580 views

Alpine fires are mainly slope-driven, spreading along the forested steep slopes. Fire ignitions are here highly clustered near anthropogenic infrastructures and this characteristic behavior also affects the definition of the wildland urban interface (WUI). This...

["Agents and Multi-Agent Systems","Spatial and Geographic Information Systems"]
doi:10.7287/peerj.preprints.2152v3
223 downloads
452 views

This short paper presents an example of integration between open source Geographical Information System (GIS) and Agent Based Model (ABM) in order to better simulate fishing activities on Iroise Sea (Brittany, France). This work makes part of the SIMARIS project:...

["Agents and Multi-Agent Systems","Scientific Computing and Simulation","Spatial and Geographic Information Systems"]
doi:10.7287/peerj.preprints.2231v2
216 downloads
322 views

Individual-based models are complex and they normally have an elevated number of input parameters which must be tuned in order to reproduce the experimental or observed data as accurately as possible. Hence one of the weakest points of such kind of models is the...

["Bioinformatics","Computational Biology","Agents and Multi-Agent Systems","Scientific Computing and Simulation"]
doi:10.7287/peerj.preprints.2279v1
208 downloads
879 views

Agent-based modeling (ABM) is a bottom-up modeling approach, where each entity of the system being modeled is uniquely represented as an independent decision-making agent. ABMs are very sensitive to implementation details. Thus, it is very easy to inadvertently...

["Agents and Multi-Agent Systems","Scientific Computing and Simulation","Theory and Formal Methods"]
doi:10.7287/peerj.preprints.1440v1
316 downloads
446 views

We describe and experimentally validate a question-asking framework for machine-learned linguistic knowledge about human emotions. Using the Socratic method as a theoretical inspiration, we develop an experimental method and computational model for computers to...

["Agents and Multi-Agent Systems","Artificial Intelligence","Computational Linguistics","Data Mining and Machine Learning","Natural Language and Speech"]
doi:10.7287/peerj.preprints.1292v1
341 downloads
972 views

Agent-based modeling (ABM) is a bottom-up modeling approach, where each entity of the system being modeled is uniquely represented as an independent decision-making agent. ABMs are very sensitive to implementation details. Thus, it is very easy to inadvertently...

["Agents and Multi-Agent Systems","Scientific Computing and Simulation","Theory and Formal Methods"]
doi:10.7287/peerj.preprints.1278v1
330 downloads
904 views

Agent based modelling framework successfully models real life problems that support simulation with diverse strategies and mechanisms devoid of the restrictions set by mathematical tractability. Union of game theory and agent based modelling has elucidated the...

["Human-Computer Interaction","Agents and Multi-Agent Systems","Algorithms and Analysis of Algorithms","Artificial Intelligence","Autonomous Systems"]
doi:10.7287/peerj.preprints.825v1
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