28 citations · 96 across the 11 of their papers we have counts for
12 papers
Identifying Information-Transfer Nodes in a Recurrent Neural Network Reveals Dynamic Representations
Arend Hintze, Asadullah Najam, Jory Schossau
Understanding the internal dynamics of Recurrent Neural Networks (RNNs) is crucial for advancing their interpretability and improving their design. This study introduces an innovat…
Incentivising cooperation by rewarding the weakest member
Jory Schossau, Bamshad Shirmohammadi, Arend Hintze
Autonomous agents that act with each other on behalf of humans are becoming more common in many social domains, such as customer service, transportation, and health care. In such s…
A neural net architecture based on principles of neural plasticity and development evolves to effectively catch prey in a simulated environment
Addison Wood, Jory Schossau, Nick Sabaj +2
A profound challenge for A-Life is to construct agents whose behavior is 'life-like' in a deep way. We propose an architecture and approach to constructing networks driving artific…
The Role of Conditional Independence in the Evolution of Intelligent Systems
Jory Schossau, Larissa Albantakis, Arend Hintze
Systems are typically made from simple components regardless of their complexity. While the function of each part is easily understood, higher order functions are emergent properti…
Markov Brains: A Technical Introduction
Arend Hintze, Jeffrey A. Edlund, Randal S. Olson +9
Markov Brains are a class of evolvable artificial neural networks (ANN). They differ from conventional ANNs in many aspects, but the key difference is that instead of a layered arc…
The Reasonable Effectiveness of Agent-Based Simulations in Evolutionary Game Theory
Christoph Adami, Jory Schossau, Arend Hintze
This is a Reply to comments published in Physics of Life Reviews, on our article "Evolutionary game theory using agent-based methods" (Physics of Life Reviews, 2016, arXiv:1404.099…
Information-theoretic neuro-correlates boost evolution of cognitive systems
Jory Schossau, Christoph Adami, Arend Hintze
Genetic Algorithms (GA) are a powerful set of tools for search and optimization that mimic the process of natural selection, and have been used successfully in a wide variety of pr…
Computational evolution of decision-making strategies
Peter Kvam, Joseph Cesario, Jory Schossau +2
Most research on adaptive decision-making takes a strategy-first approach, proposing a method of solving a problem and then examining whether it can be implemented in the brain and…
Which Sustainable Software Practices Do Scientists Find Most Useful?
Jory Schossau, Greg Wilson
We studied scientists who attended two-day workshops on basic software skills to determine which tools and practices they found most useful. Our pre- and post-workshop surveys show…
Evolutionary game theory using agent-based methods
Christoph Adami, Jory Schossau, Arend Hintze
Evolutionary game theory is a successful mathematical framework geared towards understanding the selective pressures that affect the evolution of the strategies of agents engaged i…
A genome wide dosage suppressor network reveals genetic robustness and a novel mechanism for Huntington's disease
B. Patra, Y. Kon, G. Yadav +17
Mutational robustness is the extent to which an organism has evolved to withstand the effects of deleterious mutations. We explored the extent of mutational robustness in the buddi…
Evolution and stability of altruist strategies in microbial games
Christoph Adami, Jory Schossau, Arend Hintze
When microbes compete for limited resources, they often engage in chemical warfare using bacterial toxins. This competition can be understood in terms of evolutionary game theory (…