AI*IA 97: Advances in Artificial Intelligence: 5th Congress of the Italian Association for Artificial Intelligence, Rome, Italy, September 17-19, 1997, Proceedings
Springer, Oct 16, 1997 - Artificial intelligence - 459 pages
This book constitutes the refereed proceedings of the 5th Congress of the Italian Association for Artificial Intelligence, AI*IA 97, held in Rome, Italy, in September 1997. The 37 revised full papers and 8 system descriptions presented in the volume were selected from 88 papers submitted. The papers are organized in topical sections on machine learning; natural language processing; perception, vision and robotics; distributed artificial intelligence; and planning.
What people are saying - Write a review
We haven't found any reviews in the usual places.
Refining Numerical Terms in Horn Clauses
Handling Continuos Data in TopDown Induction of FirstOrder Rules
31 other sections not shown
Other editions - View all
abductive action agent algorithm application approach approximate architecture Artificial Intelligence atoms autoepistemic logic autonomous backtracking Bayesian Networks behavior CBET classification clause complexity computational concept concept lattice considered constraints context corresponding defined definition delegation described document domain Earley algorithm evaluation example execution feature formalism formula function global goal grammar hierarchy implemented inductive Inductive Logic Programming input instances interpretation knowledge language lexical Linguistic Negation Logic Programming Machine Learning matching method MKNF modal modal logics module n.peak navigation negation as failure neural networks nodes objects operator paper parameters parsing performed phase positive possible predicates problem Proc Prolog propagation properties proposed relation relevant representation represented robot role rules satisfies segment selected semantics spacecraft step structure subcategorization frames subset symbolic synsets syntactic task temporal theory transformation tuples user model values variables verb weights WordNet