Applied Artificial Intelligence

The expression "artificial intelligence" (AI) was introduced by John McCarthy, and the official birth of AI is unanimously considered to be the 1956 Dartmouth Conference. Thus, AI turned fifty in 2006. How did AI begin? Several differently motivated ...

Incrementality is relevant for language modeling, speech recognition, and language generation, but requires a shift of the mainstream perspective to be addressed in most current models of syntactic processing, which underlies all NLP tasks. In this ...

In recent years, the KDD process has been advocated to be an iterative and interactive process. It is seldom the case that a user is able to answer immediately all his questions on date with a single query. On the contrary, the work-flow of the typical ...

Document image understanding denotes the recognition of semantically relevant components in the layout extracted from a document image. This recognition process is based on domain-specific knowledge that can be acquired automatically by applying data ...

In order to have a robotic system able to effectively learn by imitation and not merely reproduce the movements of a human teacher, the system should have the capability to deeply understand the perceived actions to be imitated. This paper deals with ...

Agent communication languages (ACLs) should allow the developer to adopt human-like communication mechanisms in agent programming, facilitating the development of distributed protocols in multi-agent systems (MASs). However, to implement robust ...

The efficiency of systems for constraint programming (CP) is currently highly affected by the actual formulation of the input problem. To this end, several choices have to be made by modelers in order to write efficient specifications and handle ...

The current technological trend depicts a scenario in which space, and more generally the environment in which the computation takes place, represents a key aspect that must be considered in order to improve systems' context awareness, even if the kind ...

Adaptation is one of the most problematic steps in the design and development of case-based reasoning (CBR) systems. In fact, it may require considerable domain knowledge and involve complex knowledge engineering tasks, whereas CBR is often adopted when ...

In this article, we discuss how to shape a MAS infrastructure to support an agent-oriented, role-based access control model (RBAC-MAS). First, we introduce the RBAC model, and show how it can be extended to capture the essential features of agent ...

Responsive environments are physical surroundings whose components change their behavior to accommodate the presence of people as well as other components. We describe a means to manage responsive environments whereby each component is dynamically ...