A complex intelligent system is a large network of interacting agents with no central control, in which complex behaviors emerge from, usually simple, behaviours of single agents. Social interactions in complex intelligent systems give rise to emergent behaviors and collective properties that hold at the macroscopic level, and that cannot be easily inferred from the analysis of the behaviour of single agents at the microscopic level. The study of complex intelligent systems represents a novel approach to investigate how social interactions among agents lead to emergent behaviors which exhibit some sort of intelligence.

Methodologically, social interactions in complex intelligent systems accommodate both local and global phenomena, and therefore they are a key concept to understand the behaviour of a complex intelligent system. Social interactions are also the key concept to explain how real and artificial societies behave. The models used to study interactions among agents may derive from various fields, such as statistical physics, information theory, and non-linear dynamics. They are used to describe the effects of interactions among agents from a microscopic point of view, and the derivation of observable behaviors of the system may be addressed using various approaches, such as analytic and simulative tools, statistical methods, and empirical observations. Sophisticated research methodologies are being developed and used in social analysis of complex intelligent systems at both microscopic and macroscopic levels of analysis. Such methods include, graph theory, bifurcation diagrams, network analysis, agent-based modeling, theoretical physics, non-linear modeling, and computational models including cellular automata, and multi-agent systems.

Complex intelligent systems and models of social interactions are used to describe processes in various fields, such as Artificial Intelligence, Computer Science, Mathematics, Biology, Economics, Physics, Sociology, Economy, and many others. Hence, they represent a promising multi-disciplinary research field. The proposed symposium on Social Interactions in Complex Intelligent Systems is meant to offer an interdisciplinary forum on all aspects related to social interactions in complex intelligent systems. The aim of the symposium is to stimulate discussions and synergies among participants, which are expected to have diverse and complementary research background.

• Collective intelligence and cooperation;
• Interacting agents and emergent behaviors;
• Self-adaptiveness and self-organization in complex intelligent systems;
• Opinion dynamics in complex intelligent systems;
• Social consensus and agreement;
• Social simulation and agent-based simulation;
• Social networks analysis and simulation;
• Mathematical analysis of complex intelligent systems;
• Mathematical and physical models of complex intelligent systems;
• Bio-inspired analysis of complex intelligent systems;
• Game theoretic and economical models of complex intelligent systems.