• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
Nine Ways to Bias Open-Source AGI Toward Friendliness
Nine Ways to Bias Open-Source AGI Toward Friendliness

... approach also avoids making it possible for external theorists to find specific flaws in a design. Discussing the theoretical basis for Friendliness design is all very well, but implementing and designing a system that conforms to that design is another. Keeping powerful AGI and its development lock ...
Non-Deterministic Planning with Temporally Extended Goals
Non-Deterministic Planning with Temporally Extended Goals

... benefit from following a prescribed high-level script that specifies how the task is to be realized. In this paper we focus on the problem of planning for temporally extended goals, constraints, directives or scripts that are expressed in Linear Temporal Logic (LTL) for planning domains in which act ...
Responses to Catastrophic AGI Risk: A Survey
Responses to Catastrophic AGI Risk: A Survey

Special Issue on Semantic Web Meets
Special Issue on Semantic Web Meets

... What does one do with so much data? A few years ago there was the issue of data storage. Some of the hottest companies of the time dealt with developing technologies for fast data storage/access. Nowadays, data storage has become extremely cheap. According to Kevin Kelly of Wired magazine, for less ...
An African Theological contribution.
An African Theological contribution.

... 5.3. What is meant by the notion of ‘African thought’ in the context of this research? ................................................................................................................... 234 5.4. Understanding the African genesis: Significant elements of the Southern African world-v ...
Validation of individual consciousness in Strong Artificial Intelligence
Validation of individual consciousness in Strong Artificial Intelligence

... 5.3. What is meant by the notion of ‘African thought’ in the context of this research? ................................................................................................................... 234 5.4. Understanding the African genesis: Significant elements of the Southern African world-v ...
presentation
presentation

... Cognition is grounded (shaped by) the body ...
AAAI Proceedings Template - Advances in Cognitive Systems
AAAI Proceedings Template - Advances in Cognitive Systems

... The core question in this work is what is Watson? At the highest level of description, here are some possible answers to this question based on an initial reading of articles published by IBM and various metaphors in the AI literature on cognitive systems: (i) Watson is a cognitive system: The notio ...
Executing clinical guidelines: temporal issues
Executing clinical guidelines: temporal issues

... Neither did approaches in the AI field, where no general solution has been proposed to the integration of temporal constraints between classes of actions (such as those in the general guidelines) and instances of actions (such as the specific executions for specific patients), in a context in which ...
View PDF - CiteSeerX
View PDF - CiteSeerX

... features can be quite large, many of which can be irrelevant or redundant. A relevant feature is defined in [5] as one removal of which deteriorates the performance or accuracy of the classifier; an irrelevant or redundant feature is not relevant. Because irrelevant information is cached inside the ...
Tilburg University Toward Human-Level Artificial Intelligence
Tilburg University Toward Human-Level Artificial Intelligence

... Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. - Users may download a ...
METAPHORS IN LEIBNIZ`S PHILOSOPHY
METAPHORS IN LEIBNIZ`S PHILOSOPHY

... multiplicity, identity vs. difference, theory vs. practice, etc. Focusing on Leibniz’s basic metaphors thus yields a grid for reading Leibniz where his different concerns, in different fields of knowledge, converge without subordinating each other in a strictly hierarchical systematic structure. The ...
Chapter 8 Multi
Chapter 8 Multi

Class Player - Rose
Class Player - Rose

... The Move class returns two points, the original position of one of your bots and either the destination of that bot or the location of a bot that is being aimed at or killed. For this project, x is the column, which begins counting at 0; likewise, y is the respective row, which also begins counting ...
Using a Goal-Agenda and Committed Actions in Real
Using a Goal-Agenda and Committed Actions in Real

... Three main extensions of this preliminary work were proposed. The first one, called landmarks planning, was introduced by [11]. It does not only order the (top-level) goals, but also the sub-goals that will necessarily arise during planning, i.e., it also takes into account what they called the “lan ...
Integrating Planning, Execution and Learning to Improve Plan
Integrating Planning, Execution and Learning to Improve Plan

... and execution monitoring following a replanning when failure paradigm. Though this approach is more practical, it may produce fragile plans that need continuous replanning episodes or even worse, that result in execution dead-ends. In this paper, we propose a new architecture to relieve these shortc ...
PPT
PPT

... – note: this would read easier in English as “should I wear a coat”, but we want to use the same propositional symbol as is in our knowledge base ...
PPT
PPT

... – note: this would read easier in English as “should I wear a coat”, but we want to use the same propositional symbol as is in our knowledge base ...
Multiagent Systems: A Survey from a Machine Learning Perspective
Multiagent Systems: A Survey from a Machine Learning Perspective

... naturally approached from an omniscient perspective—because a global view is given—or with centralized control—because no parallel actions are possible and there is no action uncertainty [Decker, 1996b]. Single-agent systems should be used in such cases. Multiagent systems can also be useful for the ...
Wrappers for feature subset selection
Wrappers for feature subset selection

Constraint Programming: In Pursuit of the Holy Grail
Constraint Programming: In Pursuit of the Holy Grail

... one of the strategic directions in computer research. However, at the same time, CP is still one of the least known and understood technologies. Constraints arise in most areas of human endeavour. They formalise the dependencies in physical worlds and their mathematical abstractions naturally and tr ...
Neural Preprocessing and Control of Reactive Walking
Neural Preprocessing and Control of Reactive Walking

An Environment for Merging and Testing Large Ontologies
An Environment for Merging and Testing Large Ontologies

... evaluation of the merging capabilities of the tool. Finally, we will present the diagnostic capabilities and discuss future plans. ...
6 Learning in Multiagent Systems
6 Learning in Multiagent Systems

... an extended view of ML that captures not only single-agent learning but also multiagent learning can lead to an improved understanding of the general principles underlying learning in both computational and natural systems. The first reason is grounded in the insight that multiagent systems typicall ...
6 Learning in Multiagent Systems
6 Learning in Multiagent Systems

... an extended view of ML that captures not only single-agent learning but also multiagent learning can lead to an improved understanding of the general principles underlying learning in both computational and natural systems. The first reason is grounded in the insight that multiagent systems typicall ...
< 1 2 3 4 5 6 7 8 ... 241 >

History of artificial intelligence

The history of artificial intelligence (AI) began in antiquity, with myths, stories and rumors of artificial beings endowed with intelligence or consciousness by master craftsmen; as Pamela McCorduck writes, AI began with ""an ancient wish to forge the gods.""The seeds of modern AI were planted by classical philosophers who attempted to describe the process of human thinking as the mechanical manipulation of symbols. This work culminated in the invention of the programmable digital computer in the 1940s, a machine based on the abstract essence of mathematical reasoning. This device and the ideas behind it inspired a handful of scientists to begin seriously discussing the possibility of building an electronic brain.The field of AI research was founded at a conference on the campus of Dartmouth College in the summer of 1956. Those who attended would become the leaders of AI research for decades. Many of them predicted that a machine as intelligent as a human being would exist in no more than a generation and they were given millions of dollars to make this vision come true. Eventually it became obvious that they had grossly underestimated the difficulty of the project. In 1973, in response to the criticism of James Lighthill and ongoing pressure from congress, the U.S. and British Governments stopped funding undirected research into artificial intelligence. Seven years later, a visionary initiative by the Japanese Government inspired governments and industry to provide AI with billions of dollars, but by the late 80s the investors became disillusioned and withdrew funding again. This cycle of boom and bust, of ""AI winters"" and summers, continues to haunt the field. Undaunted, there are those who make extraordinary predictions even now.Progress in AI has continued, despite the rise and fall of its reputation in the eyes of government bureaucrats and venture capitalists. Problems that had begun to seem impossible in 1970 have been solved and the solutions are now used in successful commercial products. However, no machine has been built with a human level of intelligence, contrary to the optimistic predictions of the first generation of AI researchers. ""We can only see a short distance ahead,"" admitted Alan Turing, in a famous 1950 paper that catalyzed the modern search for machines that think. ""But,"" he added, ""we can see much that must be done.""
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report