Michael Kirley

Analyzing randomness effects on the reliability of exploratory landscape analysis

Mario Andres Munoz, Michael Kirley, Kate Smith-Miles

Journal article  |  2021  |  NATURAL COMPUTING

The inherent difficulty of solving a continuous, static, bound-constrained and single-objective black-box optimization problem dep..

Sampling Effects on Algorithm Selection for Continuous Black-Box Optimization

Mario Andres Munoz, Michael Kirley

Journal article  |  2021  |  ALGORITHMS

In this paper, we investigate how systemic errors due to random sampling impact on automated algorithm selection for bound-constra..

Extended goal recognition: A planning-based model for strategic deception

P Masters, M Kirley, W Smith

Conference Proceedings  |  2021  |  Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS

Goal recognition is the problem of determining an agent’s intent by observing its actions. In the context of AI research, the prob..

Responsive Multi-population Models for the Dynamic Travelling Thief Problem

D Herring, M Kirley, X Yao

Conference Proceedings  |  2020  |  2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020

Multi-population evolutionary models are effective methods for solving many difficult optimisation problems due to their ability t..

Machine learning with incomplete datasets using multi-objective optimization models

Hadi A Khorshidi, Michael Kirley, Uwe Aickelin

Conference Proceedings  |  2020  |  Proceedings of the International Joint Conference on Neural Networks

Machine learning techniques have been developed to learn from complete data. When missing values exist in a dataset, the incomplet..

Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection

Yuan Sun, Wei Wang, Michael Kirley, Xiaodong Li, Jeffrey Chan

Conference Proceedings  |  2020  |  THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Feature selection has been shown to be beneficial for many data mining and machine learning tasks, especially for big data analyti..

Norm Talk and Human Cooperation: Can We Talk Ourselves Into Cooperation?

Daniel B Shank, Yoshihisa Kashima, Kim Peters, Yang Li, Garry Robins, Michael Kirley

Journal article  |  2019  |  JOURNAL OF PERSONALITY AND SOCIAL PSYCHOLOGY

Norm talk is verbal communication that explicitly states or implicitly implies a social norm. To investigate its ability to shape ..

Deep Multi-agent Reinforcement Learning in a Common-Pool Resource System

H Zhu, M Kirley

Conference Proceedings  |  2019  |  2019 IEEE Congress on Evolutionary Computation (CEC)

In complex social-ecological systems, multiple agents with diverse objectives take actions that affect the long-term dynamics of t..

Open source link to the GAMA v1.7 AbM model of Tmor-Da's evolution

Yimo Jiang, Yee Kee Ku, Michael Kirley

Software / Code  |  2019

Investigation of Asynchrony in Dynamic Multi-Objective Optimization

Daniel Herring, Michael Kirley, Xin Yao

Conference Proceedings  |  2019  |  2019 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)

Dynamic multi-objective optimization problems are very common in many real-world applications. Such problems are often characteriz..