Swarm robotic systems are currently being used to address many real-world problems. One interesting application of swarm robotics is the self-organized formation of structures and shapes. Some of the key challenges in the swarm robotic systems include swarm size constraint, random motion, coordination among robots, localization, and adaptability in a decentralized environment. Rubenstein et al....

diamondoids are cage-like saturated hydrocarbons consisting of fused cyclohexane rings. thediamondoids family of compounds is one of the best candidates for molecular building blocks (mbbs)in nanotechnology to construct organic nanostructures compared to other mbbs known so far. thechallenge is to find a route for self-assembly of these cage hydrocarbons and their applications in thebottom-up s...

In this paper, an Intelligent Content Management System with Chaotic Copyright Protection scheme called iJADE CMS is presented. iJADE CMS focuses on how web mining techniques can be effectively applied on Chinese content, with the integration of various AI techniques including intelligent agents, agent ontology and fuzzy logic based data mining scheme. Through the adoption of chaotic encryption...

This work deals with the design of an agent-oriented programming system meant to model and simulate complex systems. In this framework, we look to the problem of how multiple local basic interactions can lead to sophisticated global phenomena. The main issue tackled here is the self-organization ability of a multiagent system. The article emphasizes the necessity of a multi-level description in...

Agent Oriented Software Engineering (AOSE) is a software paradigm that has grasped the attention of researchers the last few years. As a result, many different methods have been introduced to help developers in the development of multi-agent systems. However, so far, these methods have mainly neglected security requirements. The common approach towards the inclusion of security within a system ...

In this work, we extend a generic agent-based model for simulating ancient societies, by blending, for the first time, evolutionary game theory with multiagent systems’ self-organization. Our approach models the evolution of social behaviours in a population of strategically interacting agents corresponding to households in the early Minoan era. To this end, agents participate in repeated games...

Nowadays, social organizations (at macro-level) can be represented as complex self-organizing systems that emerge from the interaction of complicated social behaviours (at micro-level). Modern multi-agent systems can be employed to explore “artificial societies” by reproducing complicated social behaviours. Unfortunately, promoting interactions only among pre-set behavioural models may limit th...

The study of intelligent agents capable of rational as well as social behaviour has received an increasing attention within Computer Science and in Artificial Intelligence in particular. A theory of agents can be used as a specification language in order to design, build, study and verify multi-agents systems. In this paper after arguing about the importance of common knowledge in multiagent sy...

This chapter presents an architecture, or general framework, for an agent-based electronic health record system (ABEHRS) to provide health information access and retrieval among different medical services facilities. The agent system’s behaviors are analyzed using the simulation approach and the mathematical modeling approach. The key concept promoted by ABEHRS is to allow patient health record...