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Oral History Interview with Patrick H. Winston
Oral History Interview with Patrick H. Winston

... is, what was the interaction inside the laboratory then? For example, there is a large space out there, outside your office which looks like many people could congregate there at any given time in the day, maybe at coffee hour in the morning or something. ...
Combining Linear Programming and Satisfiability Solving for
Combining Linear Programming and Satisfiability Solving for

... Figure 3 displays pseudocode for our LPSAT algorithm. The algorithm is based on DPLL [Davis et al., 1962]; it performs a depth first search through the space of partial truth assignments. The search backtracks if it reaches an inconsistent partial assignment and succeeds if it finds a satisfying ass ...
Artificial Intelligence and Humor
Artificial Intelligence and Humor

... understander, humour appreciator • Generation of chat bots, so that computer can become social actors • Designing better human-computer interactive systems; humour generation in user interface to ease communication • Integration of one-liners into email applications • For educational purposes: riddl ...
6.034 Artificial Intelligence. Copyright © 2004 by Massachusetts
6.034 Artificial Intelligence. Copyright © 2004 by Massachusetts

... The first is to figure out how to convert from sentences with the whole rich structure of quantifiers into a form that lets us use resolution. We'll need to convert to clausal form, which is a kind of generalization of CNF to first-order logic. The second is to automatically determine which variable ...
types of anticipatory behaving agents in artificial life
types of anticipatory behaving agents in artificial life

... action I ⇒ O x I . Up till this point this is well known and documented. But on unconscious implicit anticipation there is no mechanism to modify this rule base, other than evolution or redesign. At this level we do not need to solve creation of new or forgetting of obsolete rules here, because the ...
A Survey on Application of Bio-Inspired Algorithms
A Survey on Application of Bio-Inspired Algorithms

... methods and systems that make use of the techniques of the swarms to find solutions to complex optimization problems[1][2]. Some of the most popular swarm algorithms are inspired are ant colony optimization [3] and particle swarm optimization [4], Bee colony optimization, and algorithms inspired by ...
Viability of Artificial Neural Networks in Mobile Health- care Gavin Harper
Viability of Artificial Neural Networks in Mobile Health- care Gavin Harper

... for those sections relying on mathematical accuracy as there exists many highly respected texts with a proven track record in the field of adaptive learning algorithms. Journals have proven to be an invaluable source for obtaining a historical perspective on matters such as the early history of arti ...
Lecture 11 - Chapter 7
Lecture 11 - Chapter 7

... act on patterns or trends that it detects in large sets of data • Employs massively parallel processors in a meshlike architectural structure • AI Trilogy is a neural network software program that can run on a standard PC ...
Vision-Language Integration in AI: a reality check
Vision-Language Integration in AI: a reality check

... information expressed in the source medium into a target medium. Going from one medium to another with the less possible loss of information requires that the source information be expressed in a common content description format and that mechanisms for dealing with the specific nature of the target ...
Chapter 04 Decision Support and Artificial Intelligence
Chapter 04 Decision Support and Artificial Intelligence

... C. A genetic algorithm provides you with the best solution; an expert system provides you with many solutions along with the confidence level for each possible solution d. Expert systems belong in the category of artificial intelligence; genetic algorithms work with large database and warehouse syst ...
Siri Is My Client: A First Look at Artificial Intelligence and Legal Issues
Siri Is My Client: A First Look at Artificial Intelligence and Legal Issues

... Cope and Emily demonstrate why someone has to own the copyright associated with media produced by computers, machines, or programs like Siri. When there is money involved, the public domain is not a realistic option, as someone (likely many people) will claim ownership and do so with compelling ar ...
Curriculum Vitae
Curriculum Vitae

... and Research Officer , Oxford University Computing Laboratory (1992–1997). Area: Development of ILP programs, and application of ILP/ML/Statistics to problems in drug design, natural language processing, control engineering, medicine, and architecture. I have successfully examined cutting-edge knowl ...
MACHINE FASHION: AN ARTIFICIAL INTELLIGENCE BASED
MACHINE FASHION: AN ARTIFICIAL INTELLIGENCE BASED

... Personal stylists can be expensive though and cannot be with clients all the time. This study discusses whether an Artificial Intelligence based computer program could be the new fashion consultant and how it might be executed. There are many benefits associated with using computer programs as futur ...
Recognition Tasks
Recognition Tasks

... © Leong Hon Wai, 2003-2013 ...
Evolving Real-time Heuristic Search Algorithms
Evolving Real-time Heuristic Search Algorithms

... routing in ad hoc sensor networks (Bulitko and Lee, 2006). Starting with LRTA* (Korf, 1990) real-time heuristic search agents interleave three processes: local planning, heuristic learning and move selection. In over the two decades since LRTA*, researchers have explored different methods for lookin ...
Narrative Intelligence - Carnegie Mellon School of Computer Science
Narrative Intelligence - Carnegie Mellon School of Computer Science

... behaviors. Because of this design choice, a behavior, when turned on, does not know why it is turned on, who was turned on before it, or even who else is ...
Full Dynamic Substitutability by SAT Encoding
Full Dynamic Substitutability by SAT Encoding

... but is otherwise comparable. In our experiments we will present data on encoding sizes. ...
Multiagent Learning: Basics, Challenges, and
Multiagent Learning: Basics, Challenges, and

... agents have the same goal and are willing to cooperate, they may want to achieve their common goal in different ways); and a competitive agent may encounter a situation in which a temporary coalition with its opponent is the best way to achieve its own goal. Several refinements of the type-of-task c ...
SymPA: Symbolic Perimeter Abstractions for Proving Unsolvability
SymPA: Symbolic Perimeter Abstractions for Proving Unsolvability

... As SymBA∗ , SymPA performs searches in forward and backward direction in the original and abstract state spaces. However, there are a number of differences with respect to SymBA∗ . First of all, since the cost of the path is not relevant, symbolic breadth-first search is used instead of uniform-cost ...
The Machine Question: AI, Ethics, and Moral
The Machine Question: AI, Ethics, and Moral

... not be a moral agent. This alignment of motivations, means, and consequences for attributing moral agency matches an alignment of motivations, means, and consequences we see (pace the utilitarians and most other consequentialists) as essential to “doing the morally right thing”– though any further d ...
An Analysis on Qualitative Bankruptcy Prediction
An Analysis on Qualitative Bankruptcy Prediction

... process. This study is the first work on GAs for the purpose of discovering experts‘ qualitative knowledge on bankruptcy. The fitness function of the GA is the composite measure to discover decision rules that satisfy accuracy and coverage. This work has generated expert decision ru les for qualitat ...
State-set branching: Leveraging BDDs for heuristic search
State-set branching: Leveraging BDDs for heuristic search

... with a cost g of reaching the node and a heuristic estimate h of the remaining cost of reaching the goal. In each iteration, A* expands a node with minimum expected completion cost f = g + h. A* can be shown to have much better performance than uninformed search algorithms. However, an unresolved pr ...
The computing legacy of Alan M. Turing
The computing legacy of Alan M. Turing

... symbol, but the symbols on the tape elsewhere do not affect the behavior of the machine. However, the tape can be moved back and forth through the machine, this being one of the elementary operations of the machine. Any symbol on the tape may therefore eventually have an innings1.’ The graphical dia ...
Argumentation Theory in the Field: An Empirical Study of
Argumentation Theory in the Field: An Empirical Study of

... that some people try to portray themselves as balanced and unbiased, and as such use contradictory arguments to show that they can consider both ends of the argument and can act as good arbitrators. When we examined Acceptability, we tested if every argument a ∈ Ai is acceptable w.r.t Ai \ {a}. We f ...
Artificial Intelligence and Expert Systems
Artificial Intelligence and Expert Systems

... AI Involves Studying Thought Processes Of Humans Representing Thought Processes Via Machines ...
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Existential risk from artificial general intelligence

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