Sustainable management of complex human-environment systems, and the essential services they provide, remains a major challenge, felt from local to global scales. These systems are typically highly dynamic and hard to predict, particularly in the context of rapid environmental change, where novel sets of conditions drive coupled socio-economic-environmental responses. Faced with these challenges, our tools for policy development, while informed by the past experience, must not be unduly constrained; they must allow equally for both the fine-tuning of successful existing approaches and the generation of novel ones in unbiased ways. We study ocean fisheries as an example class of complex human-environmental systems, and present a new model (POSEIDON) and computational approach to policy design. The model includes an adaptive agentbased representation of a fishing fleet, coupled to a simplified ocean ecology model. The agents (fishing boats) do not have programmed responses based on empirical data, but respond adaptively, as a group, to their environment (including policy constraints). This conceptual model captures qualitatively a wide range of empirically observed fleet behaviour, in response to a broad set of policies. Within this framework, we define policy objectives (of arbitrary complexity) and use Bayesian optimization over multiple model runs to find policy parameters that best meet the goals. The trade-offs inherent in this approach are explored explicitly. Taking this further, optimization is used to generate novel hybrid policies. We illustrate this approach using simulated examples, in which policy prescriptions generated by our computational methods are counterintuitive and thus unlikely to be identified by conventional frameworks.

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Models of human dimensions of fisheries are important to understanding and predicting how fishing industries respond to changes in marine ecosystems and management institutions. Advances in computation have made it possible to construct agent-based models (ABMs)-which explicitly describe the behaviour of individual people, firms or vessels in order to understand and predict their aggregate behaviours. ABMs are widely used for both academic and applied purposes in many settings including finance, urban planning and the military, but are not yet mainstream in fisheries science and management, despite a growing literature. ABMs are well suited to understanding emergent consequences of fisher interactions, heterogeneity and bounded rationality, especially in complex ecological, social and institutional contexts. For these reasons, we argue that ABMs of human behaviour can contribute significantly to human dimensions of fisheries in three areas: (a) understanding interactions between multiple management institutions; (b) incorporating cognitive and | 571 BURGESS Et al. 7 ABM CHALLENGES 579 7.1 Scope 579 7.2 Calibration and validation 579 7.3 Balancing realism and complexity 578 7.4 Resource and time investment 578 7.5 Documentation and reproducibility 578 8 CONCLUSION: FROM STRATEGIC TO TACTICAL ABMS 581 ACKNOWLEDGEMENTS 581 DATA AVAILABILITY STATEMENT 581 REFERENCES 581 APPENDIX 1 586

Since the early 2000s the business sector has, as a matter of both professional and academic concern, repeatedly advocated the transfer of artistic practices, especially those deemed exemplary forms of creativity, to a management world grappling with new challenges – a claim we here call the ‘transferability thesis’ in order to consider the responses made to what Boltanski and Chiapello define as an artistic critique of capitalism. Drawing on the wide range of relevant academic literature, this article critically examines the plausibility of the ‘thesis’. To this end, we review analytical literature advocating artistic transfers alongside empirical work that examines art interventions within organizations. Both are important components of a broader organizational aesthetics approach even though, we contend, neither strands of research provide a plausible argument for meaningful transferability. We then draw on arts-based literature, management theory and psychology to compare notions of creativity at both ends of the proposed transferral process. We highlight convergence and variance in art and business thinking, noting fundamental mismatches with regard to utility, rationalization and heteronomy – three levels of incompatibility that make a genuine transplantation of art ideas highly unlikely. Finally, we discuss our critical contribution in relation to the specious status of the ‘thesis’ and the centrality of Boltanski and Chiapello’s triadic model of capitalism to our investigation. By way of a conclusion, we suggest that further research is needed to examine the symbolic nature of appeals to artistic creativity by management.

Models of human dimensions of fisheries are important to understanding and predicting how fishing industries respond to changes in marine ecosystems and management institutions. Advances in computation have made it possible to construct agent-based models (ABMs)—which explicitly describe the behaviour of individual people, firms, or vessels in order to understand and predict their aggregate behaviours. ABMs are widely used for both academic and applied purposes in many settings including finance, urban planning, and the military, but are not yet mainstream in fisheries science and management, despite a growing literature. ABMs are well suited to understanding emergent consequences of fisher interactions, heterogeneity, and bounded rationality, especially in complex ecological, social, and institutional contexts. For these reasons, we argue that ABMs of human behaviour can contribute significantly to human dimensions of fisheries in three areas: 1) understanding interactions between multiple management institutions; 2) incorporating cognitive and behavioural sciences into fisheries science and practice; and 3) understanding and projecting the social consequences of management institutions. We provide simple examples illustrating the potential for ABMs in each of these areas, using conceptual (‘toy’) versions of the POSEIDON model. We argue that salient strategic advances in these areas could pave the way for increased tactical use of ABMs in fishery management settings. We review common ABM development and application challenges, with the aim of providing guidance to beginning ABM developers and users studying human dimensions of fisheries.