The framework of an automated vision system for monitoring quality control is presented where detection of various forms of defects is achieved by combining distributed artificial intelligence and image processing. A distributed blackboard architecture manages the processing of image data via an area of shared memory where the current understanding of the problem evolves. Registration into a co...

Wireless communication supposed a great both -quantitative and qualitative, jump in the management of the information, allowing the access and interchange of it without the need of a physical cable connection. The wireless transmission of voice and information has remained in constant evolution, arising new standards like BluetoothTM, WibreeTM or ZigbeeTM developed under the IEEE 802.15 norm. T...

Wireless Sensor Network (WSN) refers to a group of spatially dispersed and dedicated sensors for monitoring and recording the physical conditions of the environment, and organizing the collected data at a central location. Research in WSNs is gaining interest due their different applications and the challenges that the constrained resources of sensor nodes bring on the field. In this type of ad...

Crowdsourcing platforms, such as Amazon Mechanical Turk, have enabled the construction of scalable applications for tasks ranging from product categorization and photo tagging to audio transcription and translation. These vertical applications are typically realized with complex, self-managing workflows that guarantee quality results. But constructing such workflows is challenging, with a huge ...

The vision of artificial intelligence (AI) is often manifested through an autonomous software module (agent) in a complex and uncertain environment. The agent is capable of thinking ahead and acting for long periods of time in accordance with its goals/objectives. It is also capable of learning and refining its understanding of the world. The agent may accomplish this based on its own experienc...

We discuss the thesis that the implementation of a moral code in the behaviour of artificial intelligent systems needs a specific form of human and artificial intelligence, not just an abstract intelligence. We present intelligence as a system with an internal structure and the structural levels of the moral system, as well as certain characteristics of artificial intelligent agents which can/m...

Recently, semiotics has started being the focus of attention of AI researchers due to its interesting capabilities in symbolic processing and knowledge representation. In this paper, we propose the Fielded Object Network (FON), a framework aimed at integrating many scientific fields related to artificial intelligence, e.g. artificial life and distributed artificial intelligence (DAI), in order ...

In this paper we study Distributed Data Mining from a Distributed Artificial Intelligence perspective. Very often, databases are very large to be mined. Then Distributed Data Mining can be used for discovering knowledge (rule sets) generated from parts of the entire training data set. This process requires cooperation and coordination between the processors because inconsistent, incomplete and ...

In this paper a multi agent platform targeted towards the area of computational intelligence modeling is presented. We show the design of various computational agents and multi agent systems, as well as the infrastructure capabilities. The focus of the system is the interchangeability of computational components, their autonomous behavior, and emergence of new models. It is demonstrated that su...