A fundamental difficulty in artificial intelligence is that nobody really knows what intelligence is, especially for systems with senses, environments, motivations and cognitive capacities which are very different to our own. If we look to definitions of human intelligence given by experts, we see that although there is no consensus, most views cluster around a few common perspectives and share...

This paper argues that “social intelligence,” a hot topic in this community in recent years, is still not properly understood, and that this has important implications for multiagent systems. The term shows up repeatedly in the intelligent agents and distributed artificial intelligence literature over many years, but in most cases the authors refer to just limited sub-components of social intel...

Improving the development of agent intelligence requires improving the mechanisms of that development. This paper explores the application of an established software methodology, object-oriented design, to agent development in two ways. We present a distributed agent architecture, Edmund, and describe first its own object-oriented structure. Then we relate the methodology for developing agent b...

This article describes ALZ-MAS; an Ambient Intelligence based multi-agent system aimed at enhancing the assistance and health care for Alzheimer patients. The system makes use of several context-aware technologies that allow it to automatically obtain information from users and the environment in an evenly distributed way, focusing on the characteristics of ubiquity, awareness, intelligence, mo...

Whereas the main objective of Artificial Intelligence is to develop systems that emulate the intellectual and interaction abilities of a human being the Distributed Artificial Intelligence pursues the same objective but focusing on human being societies (O’Hare et al., 2006). A paradigm in current use for the development of Distributed Artificial Intelligence is based on the notion of multi-age...

The dream of creating artificial devices that reach or outperform human intelligence is an old one. A top-down approach is to first find a mathematical “gold-standard” definition of general intelligence, and then approximate the equations to make them computationally efficient. Indeed, Universal AI is such an elegant formal, objective, and non-anthropocentric theory. It results in an optimal re...

Design patterns have been recently concerned in the multi-agent community for the design of systems with decentralized coordination. In this paper we present a design pattern for dealing with the complexity of developing a decentralized coordination multi-agent system for controlling a single robot. In our pattern, we combine different intelligences: an individual intelligence that enables agen...

In this paper, the basic design of the fuzzy personalized wireless information agent for mobile phones is proposed based on wireless fuzzy Web intelligence, wireless mobile computing, Internet computing, intelligent agent technology, Web databases, and personalization. The basic personalized wireless information agent’s middleware is implemented by using WAP, WML, Java Servlets and intelligent ...

This aim of this paper is to present the Multi-Agent Systems. Later is presented ALLEGRO: A Teaching/Learning Multi-Agent Environment. ALLEGRO is an intelligent environment that includes artificial intelligence mechanisms (Instructional Planning IP, Cased-Based Reasoning CBR, Multi-Agent Systems MAS, Intelligent Tutoring Systems ITS, and Computer Supported Collaborative Learning CSCL).

This chapter is to focus on an Agent based approach to Multi robot control using type -2 fuzzy and Ant colony optimization. Type -2 fuzzy interval controllers was applied to the autonomous robot in order to handle uncertainty in a better way and ant colony optimization technique has been used for an optimized path planning in traffic environment with more number of robots. Both Agents based and...