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Bio-Inspired Multi-Agent Technology for Industrial Applications

Basic ideas of multi-agent technology (MAT) began to form in the latest decades of the 20th century at the edge of artificial intelligence, object-oriented and parallel programming, and telecommunications [1-4]. The European Union Association of multi-agent systems (MAS) developers AgentLink [6] presents the Road-map of MAT up to 2020-2030 years with the slogan “Computing as Interactions”. This slogan shows value of the technology not only for developing modern fully distributed systems which are now rapidly growing everywhere (what is called “ambient” and “ubiquitous” intelligence [5]) but also for solving complex problems which are difficult or even impossible to solve by classical mathematical methods or algorithms, for example, in scheduling and optimization, pattern recognition, text understanding, clustering, etc. This relatively new area of using MAT for solving complex problems is also based on ideas of interactions. But it helps to turn complex systems from large centralized, monolithic and sequential programs with fixed hierarchical structure to distributed communities of small autonomous programs working asynchronously and in quasi-parallel with opportunity to form networking structures and interact, compete and cooperate for complex problems solving. The value of such MAS for modern complex and rapidly changing world is difficult to overestimate. This is supported by the impressive statistics of scientific community increasing interest to these subjects. In the end of 80s MAS workshops gathered together 2530 researchers and developers from 5-7 countries. Nowadays the situation has changed greatly. For example, in the last year World conference of Autonomous Agents and MultiAgent Systems (AAMAS-2009) participated more than 600 delegates from 45 countries representing the results in the area of agent reasoning logic, knowledge presentation methods, platforms for multi-agent systems developments and application systems in the wide range of applications, from social processes modelling to robot control. However if the amount of scientific works in this area is rising rapidly the commercial projects and practical applications are not so well developed in spite of the fact that more than 25 commercial companies and 100 university projects in this area are world well-known nowadays. The reason of this fact is the complexity and novelty of this new very attractive paradigm of software engineering which strongly demands new methods and tools for industrial