Titlebook: Topics in Artificial Intelligence; Fourth Congress of t Marco Gori,Giovanni Soda Conference proceedings 1995 Springer-Verlag Berlin Heidelb

Saline

创造性

Giovanni Rumolo,Ernesto Compatangelogineering, i.e. selection of an alternate non-congested path (resource control) to forward packets to destination nodes [., .]. In traffic control, the sending rate of the source node is reduced to a specific value such that the number of injected packets into the network is reduced and therefore, c

侵略主义

Natural Language Generation as constraint-based configuration,s shown that an NLG system must be able to explain the existence of free paraphrases and of different styles which are related to interdependent choices during the generation process. It is then shown that traditional systems are not up to this because of their static generation strategies. As an al

TATE

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A精确的

Multiple predicate learning with RTL,e given by Apt. In this paper, we present a revised algorithm and its implementation based on previous theoretical works that establish properties and limits of the learning framework. The algorithm is described both in abstract form and through an example. Emphasis is put on the way RTL uses induct

凝视

Learning while -Solving problems in single agent search: Preliminary results,sive time. We describe an approach which uses best first search, so as to keep time complexity low; it keeps space needs small because, through a statistical learning process, it builds accurate heuristics while solving problems. Unlike other search paradigms, solutions returned are accompanied with

Paraplegia

Automatic construction of navigable concept networks characterizing text databases,s, we first automatically extract a set of index terms describing each text. Next, we use a particular lattice conceptual clustering method to build a network of clustered texts whose nodes are described using the index terms. We argue that the resulting network supports an hybrid navigational appro

混合物

Temporal prediction: Dealing with change and interactions within a causal framework,ogy is devised that is able to distinguish between different types of causation depending on the action-type of the entities involved in the causal rules and on persistence features of the phenomenon to be modeled. We introduce a discrete time structure and we associate appropriate temporal metric p