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COGS 515 Artificial Intelligence for Cognitive Science Spring 2015
COGS 515 Artificial Intelligence for Cognitive Science Spring 2015

... Prerequisites.   COGS   502   Logic   and   Programming   or   equivalent   (knowledge   of   propositional   and   first   order   logic;   intermediate   level   programming   experience   with  Python,  Matlab  or  at  least  one  programming ...
Artificial intelligence
Artificial intelligence

... • a computer program that contains some subject-specific knowledge of one or more human experts. • helps users solve problems and draw conclusions reasonably. ...
Hvordan skrive en effektiv kravspesifikasjon
Hvordan skrive en effektiv kravspesifikasjon

... • Social autonomy: Independent to Controlled • Sociability: Autistic, Aware, Responsibility, Team Player • Friendliness: Cooperative to Competitive to Antagonistic • Interaction: Logistics, Style, Semantic Level ...
Call for Papers Special Issue of Applied Artificial Intelligence
Call for Papers Special Issue of Applied Artificial Intelligence

... Davide Anguita, University of Genoa Papers are solicited that deal with true adaptivity of models, such as - Online adaptation to environmental changes - Transfer of a solution to another similar one - Systems learning on the task (growing knowledge) in the areas of Neural computation, Machine learn ...
THE PREDICATE
THE PREDICATE

... vision fig.(1.7). The importance of low level vision is to pre-process the image by filtering from noise. The medium level vision system deals with enhancement of details and segmentation (i.e., partitioning the image into objects of interest). The high level vision system includes three steps: reco ...
Lecture 1 - School of Computing
Lecture 1 - School of Computing

... available information ...
Pattern Classification: An Introduction
Pattern Classification: An Introduction

... Blocks Worlds ...
Expert Systems
Expert Systems

... adapted from Introduction to Artificial Intelligence and Expert Systems Copyright 1993, 1994, 1995 by Carol E. Brown and Daniel E. O'Leary (available online at: ...
Clue Deduction: Professor Plum Teaches Logic
Clue Deduction: Professor Plum Teaches Logic

... text, and gives the reader assurance that the code described and supplied is the same. The complete implementation of the SATSolver is thus presented piece by piece, so that the user can make any changes necessary should a solver other than zChaff be desired. In the “Related Work” section, we discus ...
History of AI
History of AI

... • R&N: applies onto to formal systems that are powerful enough to do arithmetic, such as Turing Machines. But TMs are infinite and computers are finite. So, any computer can be viewed as a large system in propositional logic, which is not subject to Godel’s IT. • R&N: Humans were behaving intelligen ...
22nd International Joint Conference on Artificial Intelligence IJCAI
22nd International Joint Conference on Artificial Intelligence IJCAI

... electronically on January 24, 2011 (11:59 UTC-12). Submissions received after the deadline or that do not meet the length or formatting requirements will not be accepted for review. No email or fax submissions will be accepted. Notification of receipt of an electronically submitted paper will be ema ...
CSC 480: Artificial Intelligence
CSC 480: Artificial Intelligence

... [Giarratano & Riley 1998] Joseph Giarratano and Gary Riley. Expert Systems Principles and Programming. 3rd ed., PWS Publishing, Boston, MA, 1998 [Jackson, 1999] Peter Jackson. Introduction to Expert Systems. 3rd ed., AddisonWesley, 1999. [Russell & Norvig 1995] Stuart Russell and Peter Norvig, Artif ...
Artificial Intelligence Introduction
Artificial Intelligence Introduction

... really matter. Just for the record I’m 24. How old are you then. But.. System was based on fairly simple methods, with prestored amusing replies. These simple methods first used in “Eliza” - a program to emulate psychotherapist. Try esc-x doctor while in emacs for a version of Eliza. ...
AI Introduction
AI Introduction

... Artificial Intelligence • Study and design of machines that can think like a human being – Attempt to understand human intelligence ...
What is AI? - BYU Computer Science Students Homepage Index
What is AI? - BYU Computer Science Students Homepage Index

... Predictions and Reality … (1/3) In the 60’s, a famous AI professor from MIT said: “At the end of the summer, we will have developed an electronic eye” As of 2002, there is still no general computer vision system capable of understanding complex dynamic scenes But computer systems routinely perform ...
CS494/594: Artificial Intelligence Fall 2009 Tuesday/Thursday, 12:40 – 1:55 Instructor:
CS494/594: Artificial Intelligence Fall 2009 Tuesday/Thursday, 12:40 – 1:55 Instructor:

... 1960s “cognitive revolution”: information-processing psychology replaced prevailing orthodoxy of behaviorism Requires scientific theories of internal activities of the brain – What level of abstraction? “Knowledge” or “circuits? – How to validate? Requires: 1) Predicting and testing behavior of huma ...
Paper in Word ()
Paper in Word ()

... The computer programs with which AI is concerned are primarily symbolic processes involving complexity, uncertainty and ambiguity. These processes are usually those for which algorithmic solutions do not exist and a search is required. Thus, AI deals with the types of problem solving and decision ma ...
This Is a Publication of The American Association
This Is a Publication of The American Association

... to other people.1 This, of course, will make it easier for other people to run comparative studies. They may show how bad your system is, but that is what science is all about. Kerschberg took an engineering view. He suggested taking some of the existing algorithms and seeing how they scale up on ve ...
Artificial Intelligence - University of Regina
Artificial Intelligence - University of Regina

... • 1956 Dartmouth Conference organized by John McCarthy (inventor of LISP). The term “Artificial Intelligence” was adopted. ...
AI
AI

... large body of shared knowledge, speakers generally bring to a conversation. Colby points out that information about the context in which language is used and the speaker’s intentions are also required.zb Consequently, as with expert systems, the most successful NL programs have been those equipped w ...
Rule-Based Classifiers
Rule-Based Classifiers

... (legs = 4 ∧ tusks = 2 ∧ hairy = yes) ⇒ class = elephant This might look better, but it adds no real expressive power. There are, of course, other variations which would add expressive power. Some of them might even take us beyond propositional logic into predicate logic. We could not then expect our ...
Course Overview - COW :: Ceng On the Web
Course Overview - COW :: Ceng On the Web

... Computer Engineering Department ...
Postdoctoral researcher in artificial intelligence, agents or
Postdoctoral researcher in artificial intelligence, agents or

... creative individuals, who are going to contribute to research projects in the domains of multiagent systems, game-theory, automated planning, autonomous systems, air traffic or public transport modelling, autonomous mobility systems or future cybersecurity approaches. The researcher will be expected ...
Beyond robotics
Beyond robotics

... – capability to function as a regular part of the human body – tight coupling between the human and the artifact (e.g. intelligent prosthetics such as artificial sensory organs, limbs) – not in scope: artificial organs outside the conscious control (artificial pancreas, kidneys, liver, etc. ...
The Development of AI
The Development of AI

... Eliza was one of the first attempts to write a program which could hold a conversation with a human. It was written by Joseph Weizenbaum in 1966 and is still popular today. The intention was to create a computer psychologist that could respond to people’s problems by talking them through. ...
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Knowledge representation and reasoning

Knowledge representation and reasoning (KR) is the field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can utilize to solve complex tasks such as diagnosing a medical condition or having a dialog in a natural language. Knowledge representation incorporates findings from psychology about how humans solve problems and represent knowledge in order to design formalisms that will make complex systems easier to design and build. Knowledge representation and reasoning also incorporates findings from logic to automate various kinds of reasoning, such as the application of rules or the relations of sets and subsets.Examples of knowledge representation formalisms include semantic nets, systems architecture, Frames, Rules, and ontologies. Examples of automated reasoning engines include inference engines, theorem provers, and classifiers.
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