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Stanford Heuristic Programming Project Memo HPP-78
Stanford Heuristic Programming Project Memo HPP-78

... purpose. An early motivation for our work was to explore the power of existing AI methods, such as heuristic search, for reasoning in difficult scientific problems [7]. Another concern has been to exploit the AI methodology to understand better some fundamental questions in the philosophy of science ...
Building a Cultural Intelligence Decision Support System - R
Building a Cultural Intelligence Decision Support System - R

... direction of motivation. An individual may have the motivation to learn, but this motivation may not be equally directed to all kinds of learning; therefore, it is necessary to take direction into account. Intelligence is affected not only by the amount of learning, but also by the kinds of learning ...
Agents with no central representation
Agents with no central representation

... these representations provide, and despite the problems in efficient reasoning that these more expressive representations bring with them. OpenCYC, and open source version of CYC has been rewritten in OWL for use on the semantic web ...
“Intelligent” Agents
“Intelligent” Agents

... - by training the agent to learn the consequences of every possible action in every situation? ...
Unit 1: Introduction to Artificial Intelligence
Unit 1: Introduction to Artificial Intelligence

... (Nature, 2004) Is this natural or artificial? ...
PhD Thesis in Cognitive Science
PhD Thesis in Cognitive Science

... very precise and objective. It is usually defined with synonymous words such as understanding, mind, mental ability, or with its sub-concepts like learning, reasoning, planning, etc. Is intelligence a unique ability of human beings or shared by other biological species too? Is it a biologically evol ...
PROBLEM-SOLVING METHODS ARTIFICIAL
PROBLEM-SOLVING METHODS ARTIFICIAL

... In the problem-solving methods based on analysis of human behavior, we find that trial and error search at some level plays a key role. ...
Explaining Bayesian Networks using Argumentation
Explaining Bayesian Networks using Argumentation

... argumentation that incorporate probabilities. In this paper we formalise a new method to extract arguments from a BN, in which we first extract an intermediate support structure that guides the argument construction process. This results in numerically backed arguments based on probabilistic informa ...
A Turing Test for Computer Game Bots
A Turing Test for Computer Game Bots

... challenge and an inspiration for artificial intelligence researchers. It has also been the subject of much philosophical debate, and continues to be a touchstone for discussions of what it means for a computing machine to be intelligent. The Turing Test was first proposed in Alan Turing’s 1950 paper ...
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... Papers from the AAAI Workshop Rainer Malaka and Antonio Krüger, Cochairs ...
paradigms - Robot Intelligence Technology Lab
paradigms - Robot Intelligence Technology Lab

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The manifold nature of interpersonal relations: the quest for a
The manifold nature of interpersonal relations: the quest for a

... When we observe other acting individuals, we are exposed to a full range of expressive power, which is not confined to what their actions are, but it also encompasses the emotions and feelings they display. When this occurs, an affective meaningful interpersonal link is automatically established (se ...
Expert System to Troubleshoot the Wireless Connection
Expert System to Troubleshoot the Wireless Connection

... other hand, JIProlog (Java Internet Prolog) is used to communicate between the Java and the Prolog. JIProlog enables calling Prolog predicates from Java without dealing with native code (JNI) and it allows invoking Java methods from Prolog in the same way you call predicates. JIPEngine was used, whi ...
original - Kansas State University
original - Kansas State University

...  Where things break in practice  Segue (back) to uncertain reasoning and preferences ...
slides - Computer Science, NMSU
slides - Computer Science, NMSU

... Defining Human Reasoning (continued) ...
English
English

... and autonomous driving applications. AI has only started to emerge as a standalone industry; the combined industry revenues based on multiple sub-segments and public disclosures by industry participants was estimated to be approximately USD 5bn in 2015. While we continue to believe AI will drive the ...
On Multi-Robot Area Coverage
On Multi-Robot Area Coverage

... Dealing with robots’ heterogeneity is an interesting challenge in this domain. Heterogeneity can be defined in different aspects and contexts, such as different movement capabilities (movement model or velocity constraints) or different task handling abilities. However, the focus of this thesis is t ...
Artificial Intelligence and Expert Systems
Artificial Intelligence and Expert Systems

... Processes Representing Thought Processes on Machines ...
Open resource
Open resource

... and will be autonomous, unlike todays remote-controlled Predator or Global Hawk. In an attempt to camouflage or to deceive the adversary, some may look like insects, animals, or other inconspicuous objects. Some will have no physical form, existing only in software – intelligent agents or cyberbots. ...
6.Lecture-664 - iLab! - University of Southern California
6.Lecture-664 - iLab! - University of Southern California

... v(t): tangential velocity of the wrist a(t): Aperture of the virtual fingers involved in grasping at time t o1(t): Angle between the object axis and the (index finger tip – thumb tip) vector [relevant for pad and palm oppositions] o2(t): Angle between the object axis and the (index finger knuckle – ...
A Heuristic for Hybrid Planning With Preferences Pascal Bercher
A Heuristic for Hybrid Planning With Preferences Pascal Bercher

... [1] Susanne Biundo and Bernd Schattenberg. From abstract crisis to concrete relief (a preliminary report on combining state abstraction and HTN planning). In Proc. of the 6th European Conference on Planning (ECP 2001), pages 157–168, 2001. [2] Avrim L. Blum and Merrick L. Furst. Fast planning throug ...
Artificial Intelligence and Expert Systems
Artificial Intelligence and Expert Systems

... Thought Processes Representing Thought Processes on Machines ...
Human Computation: A Survey and Taxonomy of a
Human Computation: A Survey and Taxonomy of a

... provide a few possible values corresponding to existing systems or notable ideas from the literature. Part of the job of researchers and technologists working to advance human computation will be to explore new possible values to address unmet needs, such as better control over speed and quality, ef ...
ch10
ch10

... A key to good decision making is to explore and compare many relevant alternatives. The more alternatives that exist, the more computer-assisted search and comparison are needed. Typically, decisions must be made under time pressure. Frequently it is not possible to manually process the needed infor ...
The Institutional Repository of University of Tampere Post
The Institutional Repository of University of Tampere Post

... active community of enthusiastic AIBO owners is still around the world with their own repair services for hardware faults and damages what shows how strong is this platform. This PhD research attempts to create a special online community for building a new artificial intelligence (AI) software for S ...
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Philosophy of artificial intelligence



The philosophy of artificial intelligence attempts to answer such questions as: Can a machine act intelligently? Can it solve any problem that a person would solve by thinking? Are human intelligence and machine intelligence the same? Is the human brain essentially a computer? Can a machine have a mind, mental states and consciousness in the same sense humans do? Can it feel how things are?These three questions reflect the divergent interests of AI researchers, cognitive scientists and philosophers respectively. The scientific answers to these questions depend on the definition of ""intelligence"" and ""consciousness"" and exactly which ""machines"" are under discussion.Important propositions in the philosophy of AI include:Turing's ""polite convention"": If a machine behaves as intelligently as a human being, then it is as intelligent as a human being. The Dartmouth proposal: ""Every aspect of learning or any other feature of intelligence can be so precisely described that a machine can be made to simulate it."" Newell and Simon's physical symbol system hypothesis: ""A physical symbol system has the necessary and sufficient means of general intelligent action."" Searle's strong AI hypothesis: ""The appropriately programmed computer with the right inputs and outputs would thereby have a mind in exactly the same sense human beings have minds."" Hobbes' mechanism: ""Reason is nothing but reckoning.""↑ ↑ ↑ ↑ ↑ ↑
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