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Philosophy and Computing - An Introduction
Philosophy and Computing - An Introduction

... of information will need to undertake. Philosophers constantly occupy themselves with conceptual problems and explanations. There are philosophers’ problems, which people often find uninteresting and are glad to leave to the specialists, and there are philosophical problems, problems about which any ...
Philosophy and Computing: An introduction
Philosophy and Computing: An introduction

... of information will need to undertake. Philosophers constantly occupy themselves with conceptual problems and explanations. There are philosophers’ problems, which people often find uninteresting and are glad to leave to the specialists, and there are philosophical problems, problems about which any ...
Philosophy and Computing: An Introduction
Philosophy and Computing: An Introduction

... of information will need to undertake. Philosophers constantly occupy themselves with conceptual problems and explanations. There are philosophers’ problems, which people often find uninteresting and are glad to leave to the specialists, and there are philosophical problems, problems about which any ...
Toward a General Logicist Methodology for Engineering Ethically
Toward a General Logicist Methodology for Engineering Ethically

... Of course, one could object to the wisdom of logic-based AI in general. While other ways of pursuing AI may well be preferable in certain contexts, we believe that faced with the challenge of having to engineer ethically correct robots to prevent humans from being overrun, a logic-based approach (Br ...
A Believable Agent for First-Person Shooter Games
A Believable Agent for First-Person Shooter Games

... and its incremental learning processes. Furthermore, goaldirected but reactive behavior makes the framework well suited for physical domains like Urban Combat. The architecture operates in cycles, each of which invokes a number of distinct cognitive processes. As Figure 1 shows, on each cycle, I CAR ...
A Believable Agent for First-Person Shooter Games
A Believable Agent for First-Person Shooter Games

... Abstract In this paper, we present a principled approach to constructing believable game players that relies on a cognitive architecture. The resulting agent is capable of playing the game Urban Combat in a plausible manner when faced with similar situations as its human counterparts. We discuss how ...
Is Distributed Connectionism Compatible with the Physical Symbol
Is Distributed Connectionism Compatible with the Physical Symbol

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2 Multi-agent paradigm
2 Multi-agent paradigm

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Why Heideggerian AI Failed and how Fixing it would Require
Why Heideggerian AI Failed and how Fixing it would Require

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Why Dreyfus’ Frame Problem Argument Cannot Justify Anti-  Representational AI
Why Dreyfus’ Frame Problem Argument Cannot Justify Anti- Representational AI

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Brief Introduction to Educational Implications of Artificial Intelligence
Brief Introduction to Educational Implications of Artificial Intelligence

... Some AI researchers are working in the area of EI. At the current time, humans are far superior to computers in terms of EI performance. Some of Marvin Minsky’s insights into human and machine intelligence are provided in a 1998 interview (Sabbatini, 1998). This interview helps to flesh out the defi ...
Educators` Introduction to Machine Intelligence
Educators` Introduction to Machine Intelligence

... What is Human Intelligence? The study and measurement of intelligence have long histories. For example, Alfred Benet and Theodore Simon developed the first Intelligence Quotient (IQ) test in the early 1900s. Chances are, you have taken several IQ tests, and perhaps you can name a number that was you ...
Semantics and cognitive research, by Francois Rastier.
Semantics and cognitive research, by Francois Rastier.

... 7. Of all the branches of linguistics, semantics is without a doubt the one where the problem of diversity is the most crucial and the least easily discerned. Broadly speaking linguists have general or universal semantic theories, but there exists no semantics specific to particular languages, much ...
Poster - Dr. Tom Froese
Poster - Dr. Tom Froese

... one coherent framework of autonomous systems research. What kind of research methodology is up to this task? On the side of behavioral autonomy one of the most popular approaches is evolutionary robotics (Harvey et al. 2005). However, it models only behavior and the evolved agents are constitutively ...
Week - Quality and Innovation
Week - Quality and Innovation

... Make-up exams will not be given and missed exams will count as zeros. For a compelling reason that a student misses an exam, a reasonable solution will be found, as long as the special arrangements are in advance of the class. If you are an athlete or in the military, please clear your event schedul ...
Safety and Beneficence of Artificial General Intelligence (AGI) and
Safety and Beneficence of Artificial General Intelligence (AGI) and

... It is by no means guaranteed however that this transformation will be a positive one without a concerted effort by the AI community to shape it that way. As AI systems become more capable, unanticipated or unintended behavior becomes increasingly dangerous, and retrofitting safety into these more ge ...
CSCE 330 Programming Language Structures
CSCE 330 Programming Language Structures

... figure out how memories are actually stored in a biological brain," says University of Reading professor Kevin Warwick, one of the principal architects of Gordon. Gordon has a brain composed of 50,000 to 100,000 active neurons. Their specialized nerve cells were laid out on a nutrient-rich medium ac ...


... remains the least understood part of case-based reasoning. The difficulty of endowingcase-based reasoning systems with automatic case adaptation is so acute that case adaptation is often omitted from case-based reasoning applications. In this talk I will first sketch current approaches to case adapt ...
thinking
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... summarize how language is acquired and develops. Discuss the importance of cognitive appraisal with respect to stress and describe various styles of coping. © 2011 The McGraw-Hill Companies, Inc. ...
Review on Cognitive Architectures - Indian Journal of Science and
Review on Cognitive Architectures - Indian Journal of Science and

... as shown in the General Problem Solver (GPS) in et.al6, one of the main fruitful computational subjective models. These speculations have advanced an awesome arrangement since GPS, and are step by step turning out to be progressive and more extensive. One of the best depictions of the vision for thi ...
Improvisation without Representation: Artificial Intelligence and Music
Improvisation without Representation: Artificial Intelligence and Music

... expertise one can immediately both perceive the nature of the situation and ‘know’ what must be done” [16] (emphasis added; see also [17]). For Brooks, embodiment is a distinctive feature of his style of robotics. His robots’ “actions are part of a dynamic with the world and have immediate feedback ...
Lectures on Artificial Intelligence – CS364 Knowledge Engineering
Lectures on Artificial Intelligence – CS364 Knowledge Engineering

... • As an example, we consider a problem of predicting the market value of a given house based on the knowledge of the sales prices of similar houses. • In this problem, the inputs (the house location, living area, number of bedrooms, number of bathrooms, land size, type of heating system, etc.) are w ...
Introduction to Swarm Robotics
Introduction to Swarm Robotics

... [31] N. Muscettola, G. Dorais, C. Fry, R. Levinson, C. Plaunt, “IDEA: Planning at the Core of Autonomous Reactive Agents”, Proceedings of the 3rd International NASA Workshop on Planning and Scheduling for Space, 2002. [32] M. Yim, "Locomotion Gaits with Polypod", Proceedings of the IEEE Internationa ...
native rendition
native rendition

... development of intelligent machines and software. The associated ICT research is highly technical and specialised, and its focal problems include the development of software that can reason, gather knowledge, plan intelligently, learn, communicate, perceive and manipulate objects. AI also allows use ...
attribute_selection
attribute_selection

... selection is done using the learning algorithm as a black box. Ron Kohavi, George H. John (1997). Wrappers for feature subset selection. Artificial Intelligence. 97(1-2):273-324. N. Gagunashvili (UNAK & MPIK) ...
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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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