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DECON 2022 : 4th International Conference on Decision Economics


When Jul 13, 2022 - Jul 15, 2022
Where L'Aquila, Italy
Submission Deadline Jun 15, 2022
Notification Due Jun 30, 2022
Final Version Due Jul 10, 2022

Call For Papers


Developing evolutionary economics ideas by celebrating the fortieth anniversary of “An evolutionary theory of economic change”

The main theme of this year’s conference on Decision Economics (DECON 2022) is inspired by and dedicated to the seminal work published by Richard R. Nelson and Sidney G. Winter in 1982, An Evolutionary Theory of Economic Change, which continues to be of essential reference to this day in research on the basic question of how firms, industries and, more generally, organisations, change over time and how structural change emerges by adaptive evolutionary processes. From institutions and organisations to production activities, from market dynamics up to social structures, everything is involved in processes of change and emergence, intertwined interaction, instability, systemic risk, intricate networks, uncertainty, designed destabilisation, continuous research, adaptation, improvements, replacement activities, perpetual transformation, recontextualisation, reinvention, structural rearrangements—and so are our daily lives. But why and how do such changes actually occur? In a world of ineluctable uncertainty, what can economic theory and evidence tell us about these changes and where they might lead? And how are problems and interpretations framed to induce hypotheses to be tested, especially in the most involved fields such as innovation and entrepreneurship as well as individual and organisational decision-making?

Faced with such an array of questions and related challenges, DECON 2022 recognises and emphasises that the evolutionary theory advocated by Nelson and Winter is currently the most influential and rapidly developing branch in the methodological and theoretical paradigm of evolutionary economics. Still relevant today, it raises significant objections to the heroic standard economics assumptions—nothing but mechanistic and utilitarian assumptions underlying the framework of utility theory—concerned with the hyper-rational choice, subjective utility maximisation, also known as maximising behaviour, as well as the market equilibrium sine-qua-non requirements (Arrow, 1990 [1987]), which have all proved crippling, dogmatic, and ineffective especially in microeconomics and its aggregate developments and implications, over and above the analysis of innovation, but also of economic progress and development, the complexity of decision contexts, and the dynamics of competition between and within firms—not to mention hidden assumptions concerning the social structures of societies. Perhaps most notably and systematically, standard utility theory misrepresents or simply overlooks institutional, evolutionary, behavioural, and cognitive outcomes deriving from economic interactions and thus explain very little, even being capable of adapting to any outcome and intervening awkwardly and unevenly in such matters; at the same time, a genuinely evolutionary approach must identify the actual dispositions that help bring out behaviours, rather than the enunciation of ultimately empty, even heroic, conceptual generalisations. The key issue is that the focus on Darwinian, evolutionary foundations requires that theories and their assumptions in the cognitive and social sciences be explicable with our knowledge and understanding of human evolution (Hodgson, 1999, 2004). This is why Nelson and Winter borrow from life science and modern biological evolution the concept of natural selection to develop an evolutionary theory of business behaviour and decisions relevant to the processes driving economic progress. Specifically and in line with Veblen (1899, 1919), Nelson and Winter conceive economic evolution as a continuous, imperfect, and non-teleological process of variation, replication, and competitive selection—hence Darwinian and, even earlier, Lamarckian—affecting a diverse population of different organisations, institutions, and networks, the same way as habits, customs, routines, cultures, and ideas. Within this conception, evolution is not necessarily progressive, it is certainly neither predictable nor predetermined, while is not vulnerable to criticism based on epigenetic or unfolding views of evolution itself. As it is well-understood since Nelson and Winter (1982), the evolutionary modelling thus developed has become commonplace enough to merit widespread acceptance, and the evolutionary ideas against this background have been applied to areas ranging from microeconomics to game theory, and from the analysis of complex networks to business economics and market dynamics.

This new mindset has contributed to the strengthening of institutional economics as well, particularly in making more explicit what organisations and institutions are, how they arise, how they can be studied empirically, and what forces impact and involve their evolving interactions and relationships. Among others, it illustrates why and how organisations and institutions are affected by the past, why they can change, why they differ so much from society to society and from one culture to the next, and why it is challenging to develop policies aimed to change them. Winter (2014) definitely argued that evolutionary economics has always been about understanding the antecedents, causes, and consequences of technological change along with the implications of technology. Studying technological change, indeed, is essential not only for the reconstruction of earlier socio-economic dynamics but also for understanding how present-day societies and the underlying economic structures confront the process of innovation (Schumpeter, 1934 [1912, 1926, 1931, 1935]; Nelson, 1995; Foster, 1997; Nelson & Winter, 2002; Witt, 2003).

Equally important, since evolutionary economics originates from a predominantly naturalistic ‘decision-making’ perspective, which is—for the most part—underpinned by a positive, rather than a normative approach to the problem of decision-making, it contrasts markedly not only with the neoclassical approach to economics grounded in the basic utility framework but also with constructive criticisms and challenges raised by Herbert A. Simon (1984) specifically regarding what he claimed were the alleged continuous improvements in the ability to adapt to the external environment, without any guarantee of reaching any maximum of fitness of the individuals, either separately or as an aggregate, whether local or global: "If we are considering this kind of system, whose environment has a multitude of local maxima, we cannot understand the system unless we know something of the method and history of its evolution. Nor is there any reasonable sense in which such a system can be regarded as ‘fittest’. This is not just an in-principle objection to confounding hill climbing with optimization. In a myopic hill-climbing system, it may be difficult or impossible to move from a local maximum to another that is in view across a deep valley." (Simon, 1996 [1969], p. 47 ; see also Simon, 1978). It contrasts, too, with Hodgson’s (1999) reconstruction when he recalled that Nelson and Winter do not regard their theory to be at odds with the standard economic paradigm-from which they even borrow some analytical tools such as the aggregate production function along with producer equilibrium conditions and the related macroeconomic models that incorporate those underlying production functions-but as an analysis that assimilates standard economics as a special case (see also Roncaglia, 2019, specially due to the lack of a theory of value within evolutionary and institutional economics).

All things considered, Nelson and Winter (1982) showed the hypo articulation of standard microeconomics, which barely and roughly describes what (and how) firms do within the context of a production economy and its mathematical representation as a vector set of possibilities, working primarily on technological innovation, one of the key issues in the economic analysis and debate of the time: “The production possibility set is a description of the state of the firm’s knowledge about the possibilities of transforming commodities.” (Arrow and Hahn, 1971, p. 53). However, this parsimonious description actually hides a multitude of unspecified heuristics, starting with the nature of that knowledge. Above all else, Nelson and Winter draw attention both to the widely controversial assumptions about the sources, conversion and application of knowledge, and the inadequately investigated blurred edges of the production set, together with the producer, the industrial and technical knowledge. In this vein, how to effectively specify that multitude of heuristics and integrate technical progress into economic modelling? How to build upon established laws to provide grounded heuristics that can help yield an ultimate, wholesome scientific paradigm for evolutionary economics?

The above and some broader questions and issues about the intellectual forces operating in the development of evolutionary economics will be examined in the course of the conference together with the founding topics of DECON. The challenge is undoubtedly both theoretical and paradigmatic, but also rigorously methodological and empirically grounded as it applies to all aspects of business behaviour and concerns the economic behaviour of individuals and all organisations, too, while providing cognitive and practical applications.


- Arrow, K. J., and Hahn, F. H. (1971). General Competitive Analysis. San Francisco, CA: Holden-Day.
- Arrow, K. J. (1990) [1987]. Economic Theory and the Hypothesis of Rationality. In Eatwell J., Milgate M., & Newman P. (Eds.), Utility and Probability, pp. 25-37. Palgrave Macmillan, London.
- Boulding, K. E. (1981). Evolutionary Economics. Beverly Hills, CA: Sage Publications.
- Foster, J. (1997). The Analytical Foundations of Evolutionary Economics: From Biological Analogy to Economic Self-Organization. Structural Change and Economic Dynamics, 8(4):427-451.
- Hodgson, G. M. (1999). Evolution and Institutions: On Evolutionary Economics and the Evolution of Economics. Cheltenham, UK: Edward Elgar.
- Hodgson, G. M. (2004). The Evolution of Institutional Economics. New York: Routledge.
- Nelson, R. R. (1995). Recent Evolutionary Theorizing About Economic Change. Journal of Economic Literature, 33(1): 48-90.
- Nelson, R. R., and Winter, S. G. (1982). An Evolutionary Theory of Economic Change. Cambridge, MA: Harvard University Press.
- Nelson, R. R., & Winter, S. G. (2002). Evolutionary Theorizing in Economics. Journal of Economic Perspectives, 16(2): 23-46.
- Roncaglia, A. (2019). The Age of Fragmentation. Cambridge, UK: Cambridge University Press.
- Schumpeter, J. A. (1934) [1912, 1926, 1931, 1935]. The theory of economic development. Cambridge, MA: Harvard University Press. Originally published as “Theorie der Wirtschaftlichen Entwicklung”, Munich and Leipzig: Duncker & Humblot, 1912; II ed. 1926; III ed. 1931; IV ed. 1935.
- Simon, H. A. (1978). Rationality as Process and as Product of Thought. The American Economic Review, 68(2): 1-16.
- Simon, H. A. (1996)[1969]. The Sciences of the Artificial, (3rd ed.). Cambridge, MA: MIT Press.
- Veblen, T. B. (1898). Why is Economics Not an Evolutionary Science? Quarterly Journal of Economics, 12(3): 373-397.
- Veblen, T. B. (1899). The Theory of the Leisure Class: An Economic Study in the Evolution of Institutions. New York: Macmillan.
- Veblen, T. B. (1919). The Place of Science in Modern Civilization and other Essays. New York: Huebsch.
- Winter, S. G. (2014). The Future of Evolutionary Economics: Can We Break Out of the Beachhead? Journal of Institutional Economics, 10(4): 613-644.
- Witt, U. (2003). The Evolving Economy: Essays on the Evolutionary Approach to Economics. Cheltenham, UK: Edward Elgar.

Just as evolution is a multifaceted, cross-disciplinary endeavour that is elaborated in a wide range of scientific fields, thus DECON 2022 suggests covering a wide range of topics to address this intrinsic ubiquity. Papers in the 2022 edition of Decision Economics are primarily invited to support more interdisciplinary work accordingly. They may include, but not be limited to:

∘ Static analysis of equilibrium vs. dynamic-evolutionary analysis: Which theory of value for evolutionary economics?
∘ Innovation as generation of varieties vs. competitive selection across a given variety set: Searching for an analytical framework for generating theories and hypotheses;
∘ Cross-disciplinary research in evolution: Problems facing the behavioural and social sciences;
∘ Schumpeter’s evolutionary perspective: A burgeoning literature on entrepreneurship and innovation;
∘ Simon’s critique of the evolutionary theory of the firm: Does the evolutionary argument imply hidden optimisations?
∘ Theoretical work employing generalised Darwinism heuristic vs. empirical studies of innovation and market structure: Drivers of divergence or convergence?
∘ Evolution in markets dynamics and institutions: Changing structures and disequilibrium processes;
∘ Modelling evolutionary economic growth with reference to the role of the green economy;
∘ Economies as dynamic evolving systems: Paces and characters of change;
∘ Advancing innovation analysis: Meta-theoretical development in economics;
∘ Cumulative uncertainty resulting from the formation of expectations in the economy;
∘ Is the Schumpeterian understanding of economic development compatible with a Darwinian view or can some principles of evolution be identified which are equally valid for both views?
∘ Business model dynamics from interaction with open innovation;
∘ The long-run growth: Aggregate employment effects of diffusing innovations;
∘ Evolution in contemporary political economy: Computational and behavioural implications;
∘ Change within complex systems: The uncertainty principle and the incompleteness theorem on modern science;
∘ Changing preferences and heuristics over time under the influence of education and institutional frameworks;
∘ Cultural evolution of the heuristic rules of decision-making employed by boundedly rational agents;
∘ Evolutionary computational models of decision making under uncertainty;
∘ Modelling and simulation of growth trends and other attributes in revealing the main drivers of evolution and economic change;
∘ Standard vs. evolutionary theories of economic and financial constraints: Critique and prospectus;
∘ Economic growth and human development: The never-ending processes of social change matter;
∘ General equilibrium or ever-changing structural stability? The emergence of the systemic or induced nature of economic crises;
∘ Challenges in macroeconomics: Theoretical issues and overt crisis of the established society;
∘ An alternative evolutionary theory of long-term economic growth and development;
∘ Cyclic processes and the limits to growth: Rethinking economic theory and profession for a sustainable economy;
∘ Governing decision-making: cognitive mechanisms moulded over evolutionary time through natural selection;
∘ Evolutionary economics and psychology: Heuristics and adaptations in human behaviour;
∘ Merging of views from biology and economics: Different ways in which Darwinism may be considered as a source of inspiration for bioeconomics.
∘ The emergence of communities based on co-evolution of social dynamics;
∘ Handling the statistical and historical evidence on the waveform evolution of the capitalist economy;
∘ Varieties of capitalism: How does artificial intelligence influence the evolution of the economy?
∘ Representing evolution by processing complex information and/or simulating cognitive processes;
∘ Comparative analysis in national innovation systems: Multi-sectoral and cross-country studies;
∘ Coping with uncertainty: A naturalistic decision-making perspective;
∘ Evolution of collective behaviour in an artificial allocation setting;
∘ Emerging systems and perspectives on judgment and decision-making research;
∘ Capacity for learning, adapting, and changing: facets of organisational resilience;
∘ Business model dynamics and change management;
∘ Cause and rationale of business behaviour and business decisions;
∘ Theorising business enterprises and cyclical movement of industrial economies;
∘ Darwinian meta-theoretical framework including the socio-economic domain;
∘ A Veblenian critique of Nelson and Winter’s evolutionary theory;
∘ Stakeholders’ expectations of business behaviour and issues;
∘ Analysis of innovation and strategic decision-making in small to medium-sized firms;
∘ The concept of routines and dynamic capabilities forty years after Nelson and Winter;
∘ Studying the cognitive processes underlying boundedly rational and evolving agents;
∘ The attribution of Lamarckian and Darwinian evolutionary mechanisms in economic theory;
∘ Human resource management: The ability to make decisions, analyse and solve business problems;
∘ A multidisciplinary understanding of business behaviour and competition policy;
∘ The interplay between government, organised interests, and the private enforcement mechanism: Judicial decisions affecting the markets;
∘ Current understanding of the state of expert thinking about how businesses behave and compete in a market-driven economy;
∘ Training decision makers or complex environments: Implications of the naturalistic decision-making perspective;
∘ Evolution and the theory of games: Conflicts, power, and organisational change;
∘ Analysing decision-making in process control: Multidisciplinary approaches to understanding human performance in complex tasks;
∘ An economy as always in motion with change being driven largely by continuing innovation;
∘ Modern evolutionary and institutional economics: Quantitative and mathematical studies;
∘ Analysis of scientific thought: Perspective on evolution as a meta-theory;
∘ Intuitive decision-making: Selection and evolution of strategies;
∘ Evolutionary aggregative models: Meta-logic functioning of the economic system;
∘ Bridging old and new institutional economics: Micro and macro approaches;
∘ Cognitive constraints on decision-making and evolution under uncertainty;
∘ What economists and other social scientists have learned about dealing with the evolution of pandemics and how they may drive future research progress;
∘ Problem solving in a dynamic environment: The evolution of heuristics and decision-making;
∘ Understanding cooperative behaviour: Evolutionary models of cooperation;
∘ Perspectives on understanding social evolution: The human behavioural ecology;
∘ Driving evolution in multi-agent systems and adaptive networks;
∘ Modelling of higher-order adaptive evolutionary processes using adaptive network models;
∘ Evolution or colonisation? Understanding how the profession of economist has colonised the normal, or prescribed reality;
∘ Applying Darwinian principles to economic evolution as well as to all open, complex, and evolving systems: The promise of Darwinism for the social sciences;
∘ How can evolutionary theory help to approach the regulation of economic systems and social interactions?

These and related questions will be addressed within DECON 2022 by discussing the relevant contributions and insights in the field. Originated in 2015, DECON embodies original and comparative research, as well as annual follow-up assessments on decision-making and economics involving several international research institutions and over two hundred authors and academic departments. In the continuing spirit of international cooperation, the steering and organising Committee of DECON issues this Call for Papers which will culminate in the annual three-day Symposium to be held in hybrid form at the University of L’Aquila (Italy).


Following an inaugural address by the President-elect, two distinguished and world-renowned scholars will deliver two Keynote Lectures.


Finally, catered towards the relevant scientific and scholarly community, this year, too, the permanent Scientific Committee of DECON will award the best paper prize and the best paper application prize—together with the prizes awarded by the MDPI international publishing house. In this regard, particular attention will be given to the methodological rigour and soundness of research, theoretical relevance, analytical accuracy and potential field contamination, including the quality of the study design, implementation, analysis as well as strength of evidence, with the appropriate differentiations between the two main sections of the prize. As in earlier years, this year too DECON facilitates cross-fertilisation between theories, methodologies, and applications of decision-making and mathematical foundations of economics. All accepted papers will be included in a peer-reviewed special book published by Springer-Nature. Each author submitting her paper commits to adhere to the methodological rigour required and provide fair feedback to the Steering and Organising Committee and the Managing Editor in charge.

Additionally, DECON’s founders have made a proposal for a special issue on “A multidimensional assessment of what evolution can tell us about our decision-making mechanisms.” to the Editorial Board of ‘New Mathematics and Natural Computation’, a peer-reviewed international scientific journal. The proposal has been approved, thus, participants in DECON 2022 will have the opportunity to submit their extended papers for consideration in it, following the instructions that will be communicated in due course. Should one or more modifications become necessary, the Committee reserves the opportunity to modify the contents contained in this Call at its discretion and without prior notice, in accordance with international academic and professional standards.


Despite DECON 2022 being hosted by the World Intangible Cultural Heritage of Humanity of L’Aquila—for its renowned Celestinian forgiveness celebration as well as the involvement in the transhumance, the seasonal droving of livestock along migratory routes in the Mediterranean and in the Alps—within the local University (Department of Human Sciences) on 13th – 15th July 2022, it was planned to hold the Conference in hybrid mode, both on site and online/remotely. Recorded presentations will also be allowed, too. For further information, please contact DECON’s Secretariat at ( and / or the members of the Steering and Organising Committee. Please, find out more on


The authors of all submitted papers are required to format their work according to the Springer-Nature template, with a maximum length of 10 pages (minimun 4 pages) including figures and references:

Microsoft word format.
LaTeX Format.


All proposed papers must be submitted in electronic form (PDF format) using the DECON 2022 conference management system.


Submission: 15th June, 2022
Final Notification: 30th June, 2022
Camera-Ready: 10th July, 2022
Conference Celebration: 13th-15th July, 2022


University of Chieti-Pescara (Italy)

National Chengchi University, Taipei (Taiwan)

University of Salamanca (Spain)





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