A model of multi-agent consensus for vague and uncertain beliefs. - Michael Crosscombe; Jonathan Lawry (Adapt. Behav., 2016)

Exploiting Vagueness for Multi-Agent Consensus. - Michael Crosscombe; Jonathan Lawry (CoRR, 2016)

Robust distributed decision-making in robot swarms: Exploiting a third truth state. - Michael Crosscombe; Jonathan Lawry; Sabine Hauert; Martin E. Homer (IROS, 2017)

Dual Consensus Measure for Multi-perspective Multi-criteria Group Decision Making. - Iván Palomares; Michael Crosscombe; Zhen-Song Chen 002; Jonathan Lawry (SMC, 2018)

Exploiting vagueness for multi-agent consensus. - Michael Crosscombe (2018)

Evidence Propagation and Consensus Formation in Noisy Environments. - Michael Crosscombe; Jonathan Lawry (AAMAS, 2019)

Epistemic Sets Applied to Best-of-n Problems. - Jonathan Lawry; Michael Crosscombe; David Harvey (ECSQARU, 2019)

Evidence Propagation and Consensus Formation in Noisy Environments. - Michael Crosscombe; Jonathan Lawry; Palina Bartashevich (SUM, 2019)

Distributed Possibilistic Learning in Multi-Agent Systems. - Jonathan Lawry; Michael Crosscombe; David Harvey (CoRR, 2020)

The Impact of Network Connectivity on Collective Learning. - Michael Crosscombe; Jonathan Lawry (DARS, 2021)

Imprecise Fusion Operators for Collective Learning. - Zixuan Liu; Michael Crosscombe; Jonathan Lawry (ALIFE, 2021)

Academic and Industrial Partnerships in the Research and Development of Hybrid Autonomous Systems: Challenges, Tools and Methods. - Emma Barden; Michael Crosscombe; Kevin Galvin; Chris Harding; Angus Johnson; Thomas E. Kent; Ben Pritchard; Arthur Richards; Debora Zanatto (MESAS, 2021)

Collective preference learning in the best-of-n problem. - Michael Crosscombe; Jonathan Lawry (Swarm Intell., 2021)

The Benefits of Interaction Constraints in Distributed Autonomous Systems. - Michael Crosscombe; Jonathan Lawry (DARS, 2022)

A Simulation Environment for the Neuroevolution of Ant Colony Dynamics. - Michael Crosscombe; Ilya Horiguchi; Norihiro Maruyama; Shigeto Dobata; Takashi Ikegami (CoRR, 2024)

Imprecise evidence in social learning. - Zixuan Liu; Michael Crosscombe; Jonathan Lawry (Swarm Intell., 2025)