298 research outputs found
An Adaptive Approach for Planning in Dynamic Environments
Planning in a dynamic environment is a
complex task that requires several issues to be
investigated in order to manage the associated
search complexity. In this paper, an adaptive
behavior that integrates planning with learning
is presented. The former is performed adopting a
hierarchical approach, interleaved with
execution. The latter, devised to identify new
abstract operators, adopts a chunking technique
on successful plans. Integration between
planning and learning is also promoted by an
agent architecture explicitly designed for
supporting abstraction
Personalized Text Categorization Using a MultiAgent Architecture
In this paper, a system able to retrieve contents deemed
relevant for the users through a text categorization process,
is presented. The system is built exploiting a generic
multiagent architecture that supports the implementation
of applications aimed at (i) retrieving heterogeneous data
spread among different sources (e.g., generic html pages,
news, blogs, forums, and databases); (ii) filtering and organizing
them according to personal interests explicitly stated
by each user; (iii) providing adaptation techniques to improve
and refine throughout time the profile of each selected
user. In particular, the implemented multiagent system creates
personalized press-revies from online newspapers. Preliminary
results are encouraging and highlight the effectiveness
of the approach
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