with the development of beverage industry and expansion of the markets , packaging of these products has also come out of its traditional form and intelligent packaging has been applied gradually. different types of smart packaging are used in the beverage industry such as gas release packaging which by gas production causes a good texture and is used in order to create a creamy milk coffee. in...

Holding commercial negotiations and selecting the best supplier in supply chain management systems are among weaknesses of producers in production process. Therefore, applying intelligent systems may have an effective role in increased speed and improved quality in the selections .This paper introduces a system which tries to trade using multi-agents systems and holding negotiations between any...

Supply chain management (SCM) is currently mainly based on older information retrieval methods. It generally has not taken advantage of the ‘dynamic’ information that is now available due to developments in information and communication technology (ICT) and knowledge management (KM). The focus has also changed from a supply-side view of optimizing production efficiency to a demand–side view of ...

Our paper focuses on the generation of optimal test sequences and test cases using Intelligent Agents for highly reliable systems. Test sequences support test case generation for these types of systems. Our system is modeled through UML state charts. Conventional test generation techniques do not worry about optimization and dynamic nature of such systems. In the case of highly reliable Softwar...

Protocols for intelligent agents are difficult to write. This is partially because intelligent agents accommodate their interaction to the situation that arises. As a result, the interaction among intelligent agents cannot be governed by a fixed protocol. In this paper we describe an open protocol paradigm for reasoning in a multi-agent system with decentralized control. An open protocol is a c...

Process planning plays an important role for ensuring machining quality, reducing production cost, and shortening leading time. Since there are many uncertainty factors for manufacturing resources in a changing manufacturing environment, especially for small batch manufacturing of large scale parts requiring long process planning time, manufacturing companies are facing significant challenges o...

1. Introduction This paper focuses on our recent research effort aimed at developing human-like, intelligent agents (virtual humans) for large-scale, interactive simulation environments (virtual reality). These simulated environments have sufficiently high fidelity and realism[l 1,23] that constructing intelligent agents requires us to face many of the hard research challenges faced by physical...

The building of cooperative multi-agent systems is an issue of growing importance in the field of Distributed Artificial Intelligence. We introduce a type of agency, called dynamic agency, that overcomes the critical problem of having agents that have both several specific operation functions, and one uniform cooperation ability. A dynamic agency is also suited to give flexibility with respect ...

Intelligent Agents are being used to model simple rational behaviours in a wide range of distributed applications. In particular, agents based on the Belief-Desire-Intention (BDI) architecture have been used successfully in situations where some modelling of human reasoning and team cooperation has been needed, such as simulation of tactical decision making in air operations and command and con...

The telecommunications environment is changing its face towards an open market of information services where the vision is "information any time, at any place, in any form". Within this electronic market the aspects of service customization and instant service provision are of fundamental importance. In this context a new paradigm is gaining momentum, referred to as "Intelligent Agents". This p...