Many AI professionals consider RoboCup small league competition as an ideal platform for testing distributed artificial intelligence techniques. Among these techniques are multi-agent systems (MAS), which advocate collective intelligence by focusing on autonomy of the agents and their intercommunication. Multi-agent systems have been used in several disciplines such as Industry [16], Internet [...

An interesting approach towards human-level intelligence has been proposed at BICA 2011 [1]. Namely, it is proposed that an intelligent artificial BICA agent would be able to win a political election against human candidates. The current work proposes another approach. Our approach is based on the fact that the most serious cognitive processes are processes of scientific cognition. The backgrou...

The paper tries to bridge gap between knowledge management and artificial intelligence approaches proposing agent-based framework for modelling organization and personal knowledge. The perspective of knowledge management is chosen to develop two conceptual models one interprets organization as an intelligent agent, another models an agent-based environment of the knowledge worker for personal a...

A common action selection mechanism used in agent-oriented programming is to base action selection on a set of rules. Since rules need not be mutually exclusive, agents are often underspecified. This means that the decision-making of such agents leaves room for multiple choices of actions. Underspecification implies there is potential for improvement or optimalization of the agent’s behavior. S...

This paper is concerning the application of a deterministic decisional pattern to a multi-agent system which would provide intelligence to a distributed energy smart grid at local consumer level. Development of multi-agent application involves agent specifications, analysis, design and realization. It can be implemented by following several decisional patterns. The purpose of present article is...

Emerging agent-based systems offer new means of effectively addressing complex decision processes and enabling solutions to business requirements associated with virtual organizations. Intelligent agents can provide more flexible intelligence/expertise and help the smooth integration of a variety of system types (i.e., Internet applications, customer relationship management, supplier network ma...

Mobile agents, equipped with intelligence, provide a relatively new technology that will help automate Network Management activities, which are becoming increasingly data intensive, thus demanding more direct human manager expertise and involvement. The research reported in this paper is concerned with the design of an Intelligent Mobile Agent, which accomplishes a set of Network Management tas...

The techniques of multi-agent system bring intelligence and flexibility to embedded agent/multi-agent embedded system connected to internet presents a great advantage. Advantage of such multi-agent systems improves the use of expanded infrastructure. Installing simplified agents in embedded systems was shown necessary due to increasing use of embedded devices. Multiagent power management system...

This paper presents our experience in building complex autonomous systems through modularization and task specialization. As the test-bed, mobile devices were used. Some insights regarding the integration of agent-based theory in the framework of biological intelligence are presented. The obtained results approach the the definition and implementation of the intelligent activities and their rea...

Evaluating agent intelligence is a fundamental issue for the understanding, construction and improvement of autonomous agents. New intelligence tests have been recently developed based on an assessment of task complexity using algorithmic information theory. Some early experimental results have shown that these intelligence tests may be able to distinguish between agents of the same kind, but t...