|
Showing 1 - 5 of
5 matches in All Departments
Planning is the model-based approach to autonomous behavior where
the agent behavior is derived automatically from a model of the
actions, sensors, and goals. The main challenges in planning are
computational as all models, whether featuring uncertainty and
feedback or not, are intractable in the worst case when represented
in compact form. In this book, we look at a variety of models used
in AI planning, and at the methods that have been developed for
solving them. The goal is to provide a modern and coherent view of
planning that is precise, concise, and mostly self-contained,
without being shallow. For this, we make no attempt at covering the
whole variety of planning approaches, ideas, and applications, and
focus on the essentials. The target audience of the book are
students and researchers interested in autonomous behavior and
planning from an AI, engineering, or cognitive science perspective.
Table of Contents: Preface / Planning and Autonomous Behavior /
Classical Planning: Full Information and Deterministic Actions /
Classical Planning: Variations and Extensions / Beyond Classical
Planning: Transformations / Planning with Sensing: Logical Models /
MDP Planning: Stochastic Actions and Full Feedback / POMDP
Planning: Stochastic Actions and Partial Feedback / Discussion /
Bibliography / Author's Biography
IBERAMIA is the international conference series of the
Ibero-American Art-
cialIntelligencecommunitythathasbeenmeetingeverytwoyearssincethe1988
meeting in Barcelona. The conference is supported by the main
Ibero-American societies of AI and provides researchers from
Portugal, Spain, and Latin Am- ica the opportunity to meet with AI
researchers from all over the world. Since 1998, IBERAMIA has been
a widely recognized international conference, with its papers
written and presented in English, and its proceedings published by
Springer in the LNAI series. This volume contains the papers
accepted for presentation at Iberamia 2008, held in Lisbon,
Portugal in October 2008. For this conference, 147 papers were
submitted for the main track, and 46 papers were accepted. Each
submitted paper was reviewed by three members of the Program
Committee (PC), coor- nated by an Area Chair. In certain cases,
extra reviewerswererecruited to write additional reviews. The list
of Area Chairs, PC members, and reviewers can be found on the pages
that follow. The authors of the submitted papers represent 14
countries with topics c- ering the whole spectrum of themes in AI:
robotics and multiagent systems, knowledge representation and
constraints, machine learning and planning, n- ural language
processing and AI applications.
TheprogramforIberamia2008alsoincludedthreeinvitedspeakers:Christian
Lemaitre (LANIA, M exico), R. Michael Young (NCSU, USA) and Miguel
Dias (Microsoft LDMC, Lisbon) as well as ?ve workshops.
Professor Judea Pearl won the 2011 Turing Award "for fundamental
contributions to artificial intelligence through the development of
a calculus for probabilistic and causal reasoning." This book
contains the original articles that led to the award, as well as
other seminal works, divided into four parts: heuristic search,
probabilistic reasoning, causality, first period (1988-2001), and
causality, recent period (2002-2020). Each of these parts starts
with an introduction written by Judea Pearl. The volume also
contains original, contributed articles by leading researchers that
analyze, extend, or assess the influence of Pearl's work in
different fields: from AI, Machine Learning, and Statistics to
Cognitive Science, Philosophy, and the Social Sciences. The first
part of the volume includes a biography, a transcript of his Turing
Award Lecture, two interviews, and a selected bibliography
annotated by him.
The field of Artificial Intelligence has changed a great deal since
the 80s, and arguably no one has played a larger role in that
change than Judea Pearl. Judea Pearl's work made probability the
prevailing language of modern AI and, perhaps more significantly,
it placed the elaboration of crisp and meaningful models, and of
effective computational mechanisms, at the center of AI research.
This book is a collection of articles in honor of Judea Pearl,
written by close colleagues and former students. Its three main
parts, heuristics, probabilistic reasoning, and causality,
correspond to the titles of the three ground-breaking books
authored by Judea, and are followed by a section of short
reminiscences. In this volume, leading authors look at the state of
the art in the fields of heuristic, probabilistic, and causal
reasoning, in light of Judea's seminal contributors. The authors
list include Blai Bonet, Eric Hansen, Robert Holte, Jonathan
Schaeffer, Ariel Felner, Richard Korf, Austin Parker, Dana Nau, V.
S. Subrahmanian, Hector Geffner, Ira Pohl, Adnan Darwiche, Thomas
Dean, Rina Dechter, Bozhena Bidyuk, Robert Matescu, Emma Rollon,
Michael I. Jordan, Michael Kearns, Daphne Koller, Brian Milch,
Stuart Russell, Azaria Paz, David Poole, Ingrid Zukerman, Carlos
Brito, Philip Dawid, Felix Elwert, Christopher Winship, Michael
Gelfond, Nelson Rushton, Moises Goldszmidt, Sander Greenland,
Joseph Y. Halpern, Christopher Hitchcock, David Heckerman, Ross
Shachter, Vladimir Lifschitz, Thomas Richardson, James Robins, Yoav
Shoham, Peter Spirtes, Clark Glymour, Richard Scheines, Robert
Tillman, Wolfgang Spohn, Jian Tian, Ilya Shpitser, Nils Nilsson,
Edward T. Purcell, and David Spiegelhalter.
Professor Judea Pearl won the 2011 Turing Award "for fundamental
contributions to artificial intelligence through the development of
a calculus for probabilistic and causal reasoning." This book
contains the original articles that led to the award, as well as
other seminal works, divided into four parts: heuristic search,
probabilistic reasoning, causality, first period (1988-2001), and
causality, recent period (2002-2020). Each of these parts starts
with an introduction written by Judea Pearl. The volume also
contains original, contributed articles by leading researchers that
analyze, extend, or assess the influence of Pearl's work in
different fields: from AI, Machine Learning, and Statistics to
Cognitive Science, Philosophy, and the Social Sciences. The first
part of the volume includes a biography, a transcript of his Turing
Award Lecture, two interviews, and a selected bibliography
annotated by him.
|
You may like...
It: Chapter 1
Bill Skarsgård
Blu-ray disc
R111
Discovery Miles 1 110
|