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Towards a Theory of AI-Completeness.
Towards a Theory of AI-Completeness.

... Complexity measures for TMs are well-studied. We proceed to propose a few interesting measures for the human part of the computation; those will later help us measure the humanness of algorithms. Note that we usually assume random access (also for the TM). Human Time, Space, Utility The most natural ...
Introduction
Introduction

... perception, motion (spatial reasoning), planning. • The main problem autonomous robots are interacting with the human-world, because exists many obstacles unexpected events and dinamic environments. ...
for taking notes
for taking notes

... Completeness: The algorithm finds a solution if a maximum depth of exploration is used and there is a solution above this limit Temporal Complexity: Bounded by an exponential function of the branching factor over the maximum depth O(b m ) Spatial Complexity: If duplicated nodes are not controlled, i ...
The Legacy of Alan Turing and John von Neumann
The Legacy of Alan Turing and John von Neumann

... observed in primates and are believed to exist also in humans and in some birds. The function of the mirror system is still a subject of much speculation. To date no plausible neural or computational models have been developed to explain how mirror neurons support the cognitive functions. In my opin ...
Computer Science as Empirical Enquiry
Computer Science as Empirical Enquiry

... Newell and Simon observe that there has been little mathematical investigation into search algorithms. ...
Embodiment
Embodiment

... Today, we’ll take a whirlwind tour of some GOFAI techniques. In some AI classes you would have studied them for at least a month. ...
Distributed Artificial Intelligence - Dei-Isep
Distributed Artificial Intelligence - Dei-Isep

... be   carefully   designed   to   prevent   harmful   interactions   between   the   agents.   So,   it   is   necessary  coordination!  An  individual  agent  needs  to  represent  and  reason  about  the   actions,  plans  and  knowledge  of  other  agents  in  order  to  coordinate  with  them.   ...
Computational Intelligence
Computational Intelligence

... Several computational analytic tools have matured in the last 10 to 15 years that facilitate solving problems that were previously difficult or impossible to solve. These new analytical tools, known collectively as computational intelligence tools, include artificial neural networks, fuzzy systems, ...
Components of KBS
Components of KBS

... Problems are solved using the reasoning mechanism of an inference engine The domain knowledge is described by means of an ontology The problem solving knowledge is described using production rules or an equivalent formalism ...
DRAFT_README - CIS @ Temple University
DRAFT_README - CIS @ Temple University

... should give you, the reviewer, enough information to understand what I am working on. In this draft, I expect the reviewer to know what Minesweeper is, and have an understanding of the rules. I have yet to find a computer on campus that does not have Windows Minesweeper, Gnome Mine, KMines or some o ...
Philosophy of Artificial Intelligence: Robotics
Philosophy of Artificial Intelligence: Robotics

... a “robot” and an android. I think that by better understanding robots today, humankind will have a better idea of what is possible in the future. First, I will discuss the difference between a robot and an android. Although they have been used interchangeably, an android by definition is an robot wh ...
Demystifying Machine Intelligence
Demystifying Machine Intelligence

... (1965), that consisted of an inference engine (the repertory of legitimate reasoning techniques) and a knowledge base (the "common sense" knowledge). This technology relied on acquiring knowledge from domain experts in order to create "clones" of such experts (machines that performed as well as the ...
General Problem Solving
General Problem Solving

... The goal is to simulate the solving problem process of human experts Their development is based on traditional knowledge engineering techniques Mainly implemented with rule production systems Closed applications that usually do not use machine learning Knowledge Based Systems The goal is to use doma ...
Scripting, AI, Physics, and Behaviors
Scripting, AI, Physics, and Behaviors

... Controllers are non-physical actors which can be attached to a pawn to control its actions. – PlayerControllers are used by human players to control ...
Module Specification
Module Specification

... the Assessment Regulations and Policy. More information on the timing and type of feedback that will be provided for each assessment will be available from the module leader. Assessment Regulations The Pass mark for the module is 40%. Any minimum qualifying marks for specific assessments are listed ...
Cognitive Decathlon
Cognitive Decathlon

... Identification requiring rotation. Complex objects often need to be aligned and oriented in some way to detect sameness. This skill can often be accomplished by adult humans through “mental rotation” (Shepard & Metzler, 1971), although other strategies (physical rotation or even moving to different ...
The Trouble with the Turing Test
The Trouble with the Turing Test

... strong on indignation and weak in citing specific achievements that show why Wilkes was wrong. Hayes does not even mention the Test as a goal for AI workers, but does conclude with a respectful quotation from Turing, thus exemplifying the double attitude toward the master: ignore his specific propos ...
ppt
ppt

... Virtual reality modeling language (VRML) Used to create real-time animated 3-D scenes Cosmos Worlds from Cosmos Software Page 107 ...
17. FARS to Language (2001) - USC
17. FARS to Language (2001) - USC

... Our proposed mirror model must match this with a model of how ...
The History of Artificial Intelligence
The History of Artificial Intelligence

... Similar to how he used the Turing Machine to more clearly formalize what could or could not be computed, Alan Turing felt the need to propose the Turing Test so that there was a clear definition of whether or not the responses given by a human were part of the computable space. In the paper he wante ...
Intentionality and artificial intelligence
Intentionality and artificial intelligence

... But how do we get from the idea that a belief about dogs, say, is caused by certain experiences of dogs and causes certain behaviour towards dogs to the idea that beliefs are about dogs? Compare: clouds are caused by water evaporating from the sea and they cause rain; but clouds aren’t about the sea ...
323-670 ปัญญาประดิษฐ์ (Artificial Intelligence)
323-670 ปัญญาประดิษฐ์ (Artificial Intelligence)

... It can be understood by people who must provide it. It can easily be modified to correct errors and to reflect changes in the world. It can be used in many situations even if it is not totally accurate or complete. It can use to narrow the range of possibilities that must usually be considered. ...
A Developmental Approach to Intelligence
A Developmental Approach to Intelligence

... levels. This combination of hierarchy and feedback is essential to creating a continually evolving understanding of the world and how to behave in it. In this way, simple reactive behavior can develop into time-dependent planned behavior. Innate knowledge is provided at Level 0, but in order to eli ...
AI and Cinema - Does artificial insanity rule?
AI and Cinema - Does artificial insanity rule?

... The Terminator is the cause of the main conflict but does not appear in the movie). So, we might see some more movies pursuing these aberrations. Why then is insanity or extreme behavior so common? People have always had anxieties arising from the uncertain future that a new technology might create. ...
Presentation
Presentation

... • The Ideal tables contain all Nobel Prize winners that co-occur with the word “Nobel” in the test corpus and integrate the additional information from the Nobel-e-Museum ...
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Intelligence explosion

An intelligence explosion is the expected outcome of the hypothetically forthcoming technological singularity, that is, the result of man building artificial general intelligence (strong AI). Strong AI would be capable of recursive self-improvement leading to the emergence of superintelligence, the limits of which are unknown.The notion of an ""intelligence explosion"" was first described by Good (1965), who speculated on the effects of superhuman machines, should they ever be invented:Let an ultraintelligent machine be defined as a machine that can far surpass all the intellectual activities of any man however clever. Since the design of machines is one of these intellectual activities, an ultraintelligent machine could design even better machines; there would then unquestionably be an ‘intelligence explosion,’ and the intelligence of man would be left far behind. Thus the first ultraintelligent machine is the last invention that man need ever make, provided that the machine is docile enough to tell us how to keep it under control.Although technological progress has been accelerating, it has been limited by the basic intelligence of the human brain, which has not, according to Paul R. Ehrlich, changed significantly for millennia. However, with the increasing power of computers and other technologies, it might eventually be possible to build a machine that is more intelligent than humanity. If a superhuman intelligence were to be invented—either through the amplification of human intelligence or through artificial intelligence—it would bring to bear greater problem-solving and inventive skills than current humans are capable of. It could then design an even more capable machine, or re-write its own software to become even more intelligent. This more capable machine could then go on to design a machine of yet greater capability. These iterations of recursive self-improvement could accelerate, potentially allowing enormous qualitative change before any upper limits imposed by the laws of physics or theoretical computation set in.
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