The Role of Subjectivity in Intelligent Systems Communication and
... developments in Intelligent Systems Human Computer Interaction field greatly increased
my interest in this field complemented by work experience with Xerox Corporation
Artificial Intelligence from 1982 to 1995 provided me with an insight that Activity Theory
could address Intelligent Systems communi ...
Inconsistent Heuristics in Theory and Practice
... used. There is no requirement that the heuristic be consistent.1 It is usually assumed that admissible
heuristics are consistent. In their popular AI textbook Artificial Intelligence: A Modern Approach,
Russell and Norvig write that “one has to work quite hard to concoct heuristics that are admissib ...
as a PDF
... Some other approaches include genetic fuzzy neural
networks and genetic fuzzy clustering, among others
Planning graph as the basis for deriving heuristics for plan synthesis
... Prec(a) and p ∈ Add(a). This computation precludes from consideration potential mutexes
r, s, where r and s are not in the add, precondition or delete lists of any single action. As
we shall see below, this turns out to be an important limitation in several domains.
The sum mutex heuristic used by ...
The Promise of Artificial Intelligence - IEEE
... In the past few years, the
technology has moved
from research labs into our
everyday lives. It’s being
used in medical devices, smart-home systems,
and video games—to say nothing of robots and
autonomous cars. And AI has started to do what
many people have feared: outsmart humans.
In this special re ...
possibilistic logic - an overview
... Π(A) = 1 whenever N (A) > 0, which totally fits the intuition behind this
formalism, namely that something somewhat certain should be first fully
possible, i.e. consistent with the available information. Moreover, one cannot be somewhat certain of both A and Ac , without being inconsistent.
Note als ...
... considered this a kind of Turing thesis for logic). Still, from its very beginning,
logical AI has created formalisms and approaches that had no counterpart in
existing logical theories, and refined them to sophisticated logical systems. This
was achieved mostly by people that were not logicians as ...
INSTITUTE OF ADVANCED LEGAL STUDIES SCHOOL OF
... having been so designed and construed to perform those
tasks and solve those problems that together if performed
by human beings are taken by us to be indicative of
intelligence, can be said to exhibit Artificial Intelligence.8
The role of information technology in legislative drafting has been form ...
You can this announcement in pdf format.
... ● Sven Koenig (University of Southern California), ACM SIGAI Chair
● Sanmay Das (Washington University in St. Louis), ACM SIGAI Vice Chair
● Rosemary Paradis (Leidos), ACM SIGAI Secretary/Treasurer
● Eric Eaton (University of Pennsylvania), ACM SIGAI AI Matters EditorinChief
● Katherine Guo (L ...
CV - Information Sciences Institute
... Councilor of the Association for the Advancement of Artificial Intelligence (AAAI),
2003-2009. When I joined the council, AAAI was facing a tremendous fragmentation of
the field as new conferences were being constituted (Agents, IUI, ISWC, UAI) and older
ones were cementing and growing their attenda ...
Pickman`s Machine: A Reasoning Architecture Baki Cakici
... “Any problem for which no algorithmic solution is known is a problem
in Artificial Intelligence.” (Lauriere 1990, p.3)
“Artificial intelligence is the study of techniques for solving exponentially hard problems in polynomial time by exploiting the knowledge
about the problem domain.” (Rich 1983, p.3 ...
... Cognition is grounded (shaped by) the body
A Classification and Survey of Preference Handling Approaches in
... the “underlying system” is that it is easier to compare approaches that use the same base system.
As well, a specific approach to preference may be “ported” from one underlying system to another,
as for example is done in the methods of Delgrande and Schaub [2000a; 2003] and Brewka and
Eiter [1999; ...
WHAT DO YOU THINK ABOUT MACHINES THAT THINK?
... Will They Make Us Better People? ........................................................................................................ 163
"Turing+" Questions............................................................................................................................... 165
It Depe ...
artificial intelligence (luger, 6th, 2008)
... Intelligence is too complex to be described by any single theory; instead, researchers
are constructing a hierarchy of theories that characterize it at multiple levels of abstraction. At the lowest levels of this hierarchy, neural networks, genetic algorithms and other
forms of emergent computation ...
On a razor`s edge: evaluating arguments from expert opinion
... questions needed to properly evaluate the argument as strong or weak. Nevertheless, as will be
shown below, trust is partly involved in this critical endeavour, and Freedman’s findings about
expert opinions being shown to be wrong in so many instances are important.
One purpose of this paper is to t ...
... Symbol: Piece of matter carrying information about a certain
state of affairs
In the history of artificial intelligence, an AI winter is a period of reduced funding and interest in artificial intelligence research. The term was coined by analogy to the idea of a nuclear winter. The field has experienced several hype cycles, followed by disappointment and criticism, followed by funding cuts, followed by renewed interest years or decades later. There were two major winters in 1974–80 and 1987–93 and several smaller episodes, including: 1966: the failure of machine translation, 1970: the abandonment of connectionism, 1971–75: DARPA's frustration with the Speech Understanding Research program at Carnegie Mellon University, 1973: the large decrease in AI research in the United Kingdom in response to the Lighthill report, 1973–74: DARPA's cutbacks to academic AI research in general, 1987: the collapse of the Lisp machine market, 1988: the cancellation of new spending on AI by the Strategic Computing Initiative, 1993: expert systems slowly reaching the bottom, and 1990s: the quiet disappearance of the fifth-generation computer project's original goals.The term first appeared in 1984 as the topic of a public debate at the annual meeting of AAAI (then called the ""American Association of Artificial Intelligence""). It is a chain reaction that begins with pessimism in the AI community, followed by pessimism in the press, followed by a severe cutback in funding, followed by the end of serious research. At the meeting, Roger Schank and Marvin Minsky—two leading AI researchers who had survived the ""winter"" of the 1970s—warned the business community that enthusiasm for AI had spiraled out of control in the '80s and that disappointment would certainly follow. Three years later, the billion-dollar AI industry began to collapse.Hypes are common in many emerging technologies, such as the railway mania or the dot-com bubble. An AI winter is primarily a collapse in the perception of AI by government bureaucrats and venture capitalists. Despite the rise and fall of AI's reputation, it has continued to develop new and successful technologies. AI researcher Rodney Brooks would complain in 2002 that ""there's this stupid myth out there that AI has failed, but AI is around you every second of the day."" In 2005, Ray Kurzweil agreed: ""Many observers still think that the AI winter was the end of the story and that nothing since has come of the AI field. Yet today many thousands of AI applications are deeply embedded in the infrastructure of every industry."" He added: ""the AI winter is long since over.""