As industrial systems grow in complexity, new methodologies for the implementation of their control systems are being developed. Following this line, the application of artificial intelligence (AI) techniques to the implementation of distributed control systems offers several advantages. However, some problems related to the collaboration of both techniques arise, being added to the inherent di...

ions of these networks, eg, cube on cube (The Society of Mind by Marvin Minsky, MIT, 1985) and “learning” mechanisms (The Organization of Behavior by Donald O Hebb, 1949) may not constitute intelligence. These processes populate fields with values from the user environment which can be selectively used (per contra hard coded defined sets). For example, NEST Learning Thermostat uses input values...

Wireless Sensor and Actuator Networks can be used to detect and classify ephemeral distributed events, where different process components with different behaviours are involved. Agents implementing Distributed Artificial Intelligence techniques are a key value in improving the overall system’s performance. This paper proposes a general WSAN Multi-Agent based architecture for robust supervision ...

The present paper criticizes Chalmers's discussion of the Singularity, viewed as the emergence of a superhuman intelligence via the self-amplifying development of artificial intelligence. The situated and embodied view of cognition rejects the notion that intelligence could arise in a closed "brain-in-a-vat" system, because intelligence is rooted in a high-bandwidth, sensory-motor interaction w...

In recent years, Artificial Intelligence systems have received an increasing amount of academic interest in Economics and Finance. Among these works, Artificial Stock Markets (ASM) have particularly benefited from the agent based approach and from the Multi-Agent philosophy. The application fields for Agents-based modelling and simulations in Finance appears extremely promising. For example, on...

Ontology is a terminology which is used in artificial intelligence with different meanings. Ontology researching has an important role in computer science and practical applications, especially distributed knowledge systems. In this paper we present an ontology which is called Computational Object Knowledge Base Ontology. It has been used in designing some knowledge base systems for solving pro...

Agents engage in deliberation dialogues to collectively decide on a course of action. To solve conflicts of opinion that arise, they can question claims and supply arguments. Existing models fail to capture the interplay between the provided arguments as well as successively selecting a winner from the proposals. This paper introduces a general framework for agent deliberation dialogues that us...

Work on argumentation-based dialogue systems often assumes that the adoption of argumentation leads to improved dialogue efficiency and effectiveness. Several studies have taken an experimental approach to prove these alleged benefits, but none has yet supported the expressiveness of a structured argumentation logic. This paper shows how the use of argumentation in deliberation style dialogues ...