Abstract Purpose of Review To effectively synthesise and analyse multi-robot behaviour, we require formal task-level models which accurately capture execution. In this paper, review modelling formalisms for systems under uncertainty discuss how they can be used planning, reinforcement learning, model checking, simulation. Recent Findings work has investigated more execution by considering diffe...

The theory of fuzzy logic provides a good mathematical and methodological basis for capturing the uncertainties associated with human cognitive processes, such as i d e n t i f y i n g c a u s a l relationships, thinking and reasoning. The conventional approaches to knowledge representation lack the means for representing the meaning of vague and incompletely understood concepts. As a consequen...

Concern over rapid global changes and the potential for interactions among multiple threats are prompting scientists to combine multiple modelling approaches to understand impacts on biodiversity. A relatively recent development is the combination of species distribution models, land-use change predictions, and dynamic population models to predict the relative and combined impacts of climate ch...

In risk-related research of fire safety engineering, metamodels are often applied to approximate the results complex and evacuation simulations. This approximation may cause epistemic uncertainties, inherent uncertainties simulations lead aleatory uncertainties. However, neither ‘metamodel uncertainty’ nor ‘inherent have been included in for engineering. For this reason, paper presents a metamo...

Benjamin S. Halpern,* Helen M. Regan, Hugh P. Possingham and Michael A. McCarthy National Center for Ecological Analysis and Synthesis, 735 State St., Santa Barbara, CA 93101, USA Biology Department, San Diego State University, 5500 Campanile Dr, San Diego, CA 92182–4614, USA School of Integrative Biology, The University of Queensland, St Lucia, Qld 4072, Australia Australian Research Centre fo...