35 citations · 63 across the 23 of their papers we have counts for
11 papers · 1 filter
Trust, but Verify: Rigorously Profiling Best-Effort High-Performance Computing for Digital Evolution
Matthew Andres Moreno, Santiago Rodriguez Papa, Charles Ofria +2
Developments in high-performance computing (HPC) technology continue to drastically increase quantities of available processing power. In the context of digital evolution, this exp…
A Scalable Trie Building Algorithm for High-Throughput Phyloanalysis of Wafer-Scale Digital Evolution Experiments
Vivaan Singhvi, Joey Wagner, Emily Dolson +2
Agent-based simulation platforms play a key role in enabling fast-to-run evolution experiments that can be precisely controlled and observed in detail. Availability of high-resolut…
Trackable Agent-based Evolution Models at Wafer Scale
Matthew Andres Moreno, Connor Yang, Emily Dolson +1
Continuing improvements in computing hardware are poised to transform capabilities for in silico modeling of cross-scale phenomena underlying major open questions in evolutionary b…
Trackable Island-model Genetic Algorithms at Wafer Scale
Matthew Andres Moreno, Connor Yang, Emily Dolson +1
Emerging ML/AI hardware accelerators, like the 850,000 processor Cerebras Wafer-Scale Engine (WSE), hold great promise to scale up the capabilities of evolutionary computation. How…
A Guide to Tracking Phylogenies in Parallel and Distributed Agent-based Evolution Models
Matthew Andres Moreno, Anika Ranjan, Emily Dolson +1
Computer simulations are an important tool for studying the mechanics of biological evolution. In particular, in silico work with agent-based models provides an opportunity to coll…
Case Study of Novelty, Complexity, and Adaptation in a Multicellular System
Matthew Andres Moreno, Santiago Rodriguez Papa, Charles Ofria
Continuing generation of novelty, complexity, and adaptation are well-established as core aspects of open-ended evolution. However, it has yet to be firmly established to what exte…
Runtime phylogenetic analysis enables extreme subsampling for test-based problems
Alexander Lalejini, Marcos Sanson, Jack Garbus +2
A phylogeny describes the evolutionary history of an evolving population. Evolutionary search algorithms can perfectly track the ancestry of candidate solutions, illuminating a pop…
Phylogeny-informed fitness estimation
Alexander Lalejini, Matthew Andres Moreno, Jose Guadalupe Hernandez +1
Phylogenies (ancestry trees) depict the evolutionary history of an evolving population. In evolutionary computing, a phylogeny can reveal how an evolutionary algorithm steers a pop…
Matchmaker, Matchmaker, Make Me a Match: Geometric, Variational, and Evolutionary Implications of Criteria for Tag Affinity
Matthew Andres Moreno, Alexander Lalejini, Charles Ofria
Genetic programming and artificial life systems commonly employ tag-matching schemes to determine interactions between model components. However, the implications of criteria used…
SignalGP-Lite: Event Driven Genetic Programming Library for Large-Scale Artificial Life Applications
Matthew Andres Moreno, Santiago Rodriguez Papa, Alexander Lalejini +1
Event-driven genetic programming representations have been shown to outperform traditional imperative representations on interaction-intensive problems. The event-driven approach o…
Tag-based regulation of modules in genetic programming improves context-dependent problem solving
Alexander Lalejini, Matthew Andres Moreno, Charles Ofria
We introduce and experimentally demonstrate the utility of tag-based genetic regulation, a new genetic programming (GP) technique that allows programs to dynamically adjust which c…