First Symposium on

Social Interactions in Complex Intelligent Systems



Symposium at the AISB Convention 2017

University of Bath, UK
April 18th-21st, 2017
Morning Session: 11:00-12:30
11:00-11:30 I. Khan, M. Majid al-Rifaie, 1D-Bin Packing with Stochastic Diffusion Search
11:30-11:50 L. Bull, Haploid-Diploid Evolutionary Algorithms: The Baldwin Effect and Recombination Nature’s Way
11:50-12:20 F. Bergenti, S. Monica, A Kinetic Framework to Study Opinion Dynamics in Multi-Agent Systems
12:20-12:30 S. Monica, F. Bergenti, An Overview of Kinetic Approaches to Study Consensus Formation
First Afternoon Session: 13:30-15:00
13:30-14:00 J. Bryson, Trust, Communication, and Inequality
14:00-14:30 F. Ceolan et al., The benefits of Linked Data for the social sciences. Analysing economic drivers and network effects of international migration based on semantically integrated data
14:30-15:00 C. Bosco et al., Tools and Resources for Detecting Hate and Prejudice against Immigrants in Social Media
Second Afternoon Session: 15:30-17:00
15:30-16:00 Projection of the documentary "Voices of the Refugees"
16:00-17:00 Discussion on topics related to AI and Social Sciences for Migrant Integration
Accepted Papers
  • Ceolan et al., The benefits of Linked Data for the social sciences. Analyzing economic drivers and network effects of international migration based on semantically integrated data
  • Bosco et al., Tools and resources for detecting hate and prejudice against immigrants in social media
  • Bergenti, Monica, A kinetic framework to study opinion dynamics in multi-agent systems
  • Monica, Bergenti, An overview of kinetic approaches to study consensus formation
  • Khan, Mohammad, 1D-bin packing with stochastic diffusion search
  • Bull, Haploid-diploid evolutionary algorithms: The Baldwin effect and recombination Nature's way
Aims and Scope

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.

Topics of Interest
Topics of interest of the symposium include, but are not limited to:
  • 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.

The symposium welcomes research contributions which would allow to solicit the discussion and brainstorming about any relevant aspect related to Complex Intelligent Systems, either theoretical/conceptual and practical. Contributions will be included in the Proceedings of AISB Convention 2017.

Contributions should follow AISB Convention 2017 paper style guide with the following page limits
  • Full-papers: 6-8 pages;
  • Extended abstract: 1-2 pages.
Papers can be submitted in PDF format here:
Important Dates
  • Paper submission: (extended) February 1st, 2017
  • Notification of acceptance: February 26th, 2017
  • Symposium: April 20th, 2017