A computational model of a mental model used to reason about climate change

Abstract The public discourse on climate change which occurs in the media, on the internet, in casual conversations and in the political debate, inevitably involves a considerable simplification of the functioning of the ‘real’ earth system. Among other reasons, it is so because cognitive limitations prevent humans to mentally evaluate the long term dynamics of many interacting variables. Nevertheless, this simplified representation can dramatically affect the future the real system because of its implications for devising, choosing and supporting specific mitigation policies. The numerical modelling of this mental representation (as opposed to the numerical modelling of the ‘real’ system) provides for explicitly articulating the assumptions underlying the beliefs of how the world functions and the values for the choices on how to act. It also allows to check the consistency of the widely different forecasts such beliefs and values generate.

[1]  A. K. Saysel,et al.  Misperceptions of global climate change: information policies , 2009 .

[2]  N. Meinshausen,et al.  Warming caused by cumulative carbon emissions towards the trillionth tonne , 2009, Nature.

[3]  Davide La Torre,et al.  Population and economic growth with human and physical capital investments , 2009 .

[4]  M. New,et al.  Four degrees and beyond: the potential for a global temperature increase of four degrees and its implications , 2011, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[5]  R. Unger Them and Us: Hidden Ideologies-Differences in Degree or Kind? , 2002 .

[6]  Paul Slovic,et al.  The Second National Risk and Culture Study: Making Sense of - and Making Progress In - The American Culture War of Fact , 2007 .

[7]  L. Sheesley,et al.  Cognitive and psychosocial correlates of adults' eyewitness accuracy and suggestibility , 2002 .

[8]  J. Sterman,et al.  Cloudy Skies: Assessing Public Understanding of Global Warming , 2002 .

[9]  N. Gershenfeld,et al.  Cluster-weighted modelling for time-series analysis , 1999, Nature.

[10]  J. Sterman Risk Communication on Climate: Mental Models and Mass Balance , 2008, Science.

[11]  Joel E. Cohen,et al.  How Many People Can the Earth Support , 1996 .

[12]  Fabio Boschetti,et al.  Complexity of a modelling exercise: A discussion of the role of computer simulation in complex system science , 2008 .

[13]  J. Bain,et al.  PSYCHOLOGICAL SCIENCE Research Article How Many Variables Can Humans Process? , 2022 .

[14]  C. Sibley,et al.  On the ideological consistency between right-wing authoritarianism and social dominance orientation , 2007 .

[15]  Stephan Lewandowsky,et al.  Population of linear experts: knowledge partitioning and function learning. , 2004, Psychological review.

[16]  H. Strulik The Role of Human Capital and Population Growth in R&D-Based Models of Economic Growth , 2005 .

[17]  John D. Sterman,et al.  Thinking about systems: student and teacher conceptions of natural and social systems , 2007 .

[18]  J. Canadell,et al.  Global and regional drivers of accelerating CO2 emissions , 2007, Proceedings of the National Academy of Sciences.

[19]  D. Meadows Dynamics of Growth in a Finite World , 1974 .

[20]  Francis T. Lui,et al.  The Problem of Population and Growth: A Review of the Literature from Malthus to Contemporary Models of Endogenous Population and Endogenous Growth , 1997, Journal of economic dynamics & control.

[21]  John D. Sterman,et al.  Bathtub dynamics: initial results of a systems thinking inventory , 2000 .

[22]  Dietrich Dörner,et al.  The Logic Of Failure: Recognizing And Avoiding Error In Complex Situations , 1997 .

[23]  J. Canadell,et al.  The relationship between peak warming and cumulative CO2 emissions, and its use to quantify vulnerabilities in the carbon-climate-human system , 2011 .

[24]  N. Cowan,et al.  Separating cognitive capacity from knowledge: a new hypothesis , 2007, Trends in Cognitive Sciences.

[25]  Fabio Boschetti,et al.  Can we learn how complex systems work , 2011 .

[26]  Joel E. Cohen,et al.  How Many People Can the Earth Support , 1998 .

[27]  Cleotilde González,et al.  Why don ’ t well-educated adults understand accumulation ? A challenge to researchers , educators , and citizens , 2008 .

[28]  C. Sibley,et al.  A Dual-Process Motivational Model of Ideology, Politics, and Prejudice , 2009 .

[29]  Erling Moxnes,et al.  Not only the tragedy of the commons: misperceptions of feedback and policies for sustainable development , 2000 .

[30]  Erling Moxnes OVEREXPLOITATION OF RENEWABLE RESOURCES : THE ROLE OF MISPERCEPTIONS , 1998 .

[31]  Renato Casagrandi,et al.  A theoretical approach to tourism sustainability , 2002 .

[32]  Colin Camerer,et al.  The process-performance paradox in expert judgment - How can experts know so much and predict so badly? , 1991 .

[33]  Stephan Lewandowsky,et al.  Memory for Fact, Fiction, and Misinformation , 2005, Psychological science.