By employing hybrid dynamical systems-oriented techniques for reasoning about dynamical systems, it is possible to formalize some typically informal meta-intelligence about realtime intelligence of embodied agents. Furthermore, this meta-reasoning could be straightforwardly implemented in an embodied agent, forming a basis for meta-intelligent planning or deeper logical reflection. This paper c...

Software agent technology has matured enough to produce intelligent agents, which can be used to control a large number of concurrent engineering tasks. Multi-agent systems are communities of agents that exchange information and data in the form of messages. The agents’ intelligence can range from rudimentary sensor monitoring and data reporting to more advanced forms of decision making and aut...

Information technology support for complex, dynamic, and distributed business processes as they occur in engineering domains requires an advanced process management system which enhances currently available workflow management services with respect to integration, flexibility, and adaptation. We present an uniform and flexible framework for advanced process management on an abstract level which...

This paper presents a new perspective of Artificial Intelligence (AI). Although, number of attempts has been made to make an artifact intelligent, including evolution theory, neural network etc and a number of problems have been solved using these concepts but each of this theory covers only some aspect of human intelligence. Still there is a large gap between artificial intelligence agent and ...

This paper describes the development of a neural network driver agent to improve the realism and perceived “intelligence” of autonomous vehicles in driving simulation scenarios. Driver agent refers to simulated entities which have an internal representation or knowledge of the traffic environment through their vision and can determine their own actions using their decision/cognitive capabilitie...

The study of the development of cooperative multi-agent systems is an issue of fundamental importance in the field of distributed artificial intelligence. We present a new type of multi-agent system, called dynamic agency, that is aimed to overcome the critical problem of having each agent performing both several specific operation functions and one uniform cooperation function. Dynamic agency ...

Multiagent systems are a matter of growing importance in distributed artificial intelligence. Whereas several applications based on multiagent systems have been developed to address disparate fields, little work has been done for the definition of general methodologies to develop multiagent systems. The purpose of this paper is to present a formal description of the first phase of the design of...