Agent-based Computational Economics and emotions for decision-making processes

Preliminary remarks: Agent-based computational economics has been developed extensively in recent years, using sophisticated algorithms of evolutionary computation and artificial life. Surely, the trend has been to shape systems, frameworks, and environments to be as much like a human being as possible. However, to adequately characterize the economic systems viewed as complex adaptive systems, we must integrate emotional aspects with agent-based technology in order to facilitate behavioral shortcuts for the development of fast and adaptive decisional skills, which are innate human behaviors. Theoretical foundation and state of art: There is a growing consensus among researchers in agent-based computational economics that teamwork models can enable flexible coordination among heterogeneous entities. These models are based on a belief-desire-intention (BDI) architecture. We integrate analysis with a review of recent emotions theories that could be useful for integration into agent-based computational economics environments. Analysis and tools: Our role is to integrate agent-based architectures with emotions. So we consider, the emotions, “behavioural shortcuts”. Our future purpose is to develop artificial agents that incorporate emotions to run simulations and create frameworks that can be used cooperatively with business intelligence technologies to understand the different ways that enterprises decline or improve as a consequence of the actions of their managers. Results: The theoretical results are expected to be of considerable importance in terms of providing a defensible, functional approach for the analysis of future applications, and, above all, they will provide the essential basis for creation of human-based systems. Discussion and conclusions: The literature relevant to emotions and agent-based areas will be reviewed, the elements of the model will be described, suggestions for future work will be presented, and the many implications for theory, research, and practice will be discussed