Jory Schossau, Ph.D.

Jory Schossau, Ph.D.

Michigan State University

H-index: 9

North America-United States

About Jory Schossau, Ph.D.

Jory Schossau, Ph.D., With an exceptional h-index of 9 and a recent h-index of 8 (since 2020), a distinguished researcher at Michigan State University, specializes in the field of Artificial Intelligence, Cognition, Learning, Evolution, Education.

His recent articles reflect a diverse array of research interests and contributions to the field:

A putative design for the electromagnetic activation of split proteins for molecular and cellular manipulation

Evolutionary Computation and the Reinforcement Learning Problem

A Simple Sparsity Function to Promote Evolutionary Search

Towards a Theory of Mind for Artificial Intelligence Agents

Incentivising cooperation by rewarding the weakest member

Towards an fpga accelerator for markov brains

A neural net architecture based on principles of neural plasticity and development evolves to effectively catch prey in a simulated environment

Sexual Selection Compared to Novelty Search

Jory Schossau, Ph.D. Information

University

Position

___

Citations(all)

513

Citations(since 2020)

360

Cited By

292

hIndex(all)

9

hIndex(since 2020)

8

i10Index(all)

9

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Jory Schossau, Ph.D. Skills & Research Interests

Artificial Intelligence

Cognition

Learning

Evolution

Education

Top articles of Jory Schossau, Ph.D.

A putative design for the electromagnetic activation of split proteins for molecular and cellular manipulation

Frontiers in Bioengineering and Biotechnology

2024/3/28

Evolutionary Computation and the Reinforcement Learning Problem

2023/11/2

A Simple Sparsity Function to Promote Evolutionary Search

2023/7/24

Towards a Theory of Mind for Artificial Intelligence Agents

2023/7/24

Incentivising cooperation by rewarding the weakest member

arXiv preprint arXiv:2212.00119

2022/10/4

Towards an fpga accelerator for markov brains

2022/7/18

A neural net architecture based on principles of neural plasticity and development evolves to effectively catch prey in a simulated environment

arXiv preprint arXiv:2201.11742

2022/1/28

Sexual Selection Compared to Novelty Search

2020/7/1

Neuroevolution in Dynamically Changing Environments

2020/7/1

Academic ecosystems must evolve to support a sustainable postdoc workforce

2020/6

Developmental neuronal networks as models to study the evolution of biological intelligence

ALife Workshop on the development of artificial neural networks

2020

Small Implementation Differences Can Have Large Effects on Evolvability

2020

See List of Professors in Jory Schossau, Ph.D. University(Michigan State University)

Co-Authors

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