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Chapter 01 An Introduction to Cognitive Psychology 1. The cognitive
Chapter 01 An Introduction to Cognitive Psychology 1. The cognitive

... c) introspection, one of the oldest techniques in psychology, is the best research technique. c) a mental process always involves conscious problem solving and decision making. Ans: b Feedback: See page 9 11. An early model of memory (the Atkinson-Shiffrin model) proposed that memory can be understo ...
Developing Effective Robot Teammates for Human
Developing Effective Robot Teammates for Human

... focus within Human-Robot Interaction and involves underlying research questions deeply relevant to the Artificial Intelligence community. Especially in domains where modern robots are ineffective, we wish to leverage human-robot teaming to improve the efficiency, ability, and safety of human workers ...
What is Intelligence
What is Intelligence

... Objective 3: Students are introduced to the concept of opensource software development and explore its implications. –Describe ways in which computing enables innovation. ...
1 Beginnings of a revolution
1 Beginnings of a revolution

... Bayesian statistics to everyday problems. In many areas of life we are faced with the problem of planning and learning in the presence of uncertainty, and computational thinking ideas applied to “big data” have application in both science and commerce. How do we instruct a computer to solve a partic ...
The Next 20 Years of Gaming
The Next 20 Years of Gaming

... Models often get simpler at a higher level, not more complex • Consider an analogy with a computer – We do need to understand the detailed physics of semiconductors to model a transistor, and the equations underlying a single real transistor are complex. – A digital circuit that multiplies two numb ...
Artificial Intelligence: Your Phone Is Smart, but Can It Think?
Artificial Intelligence: Your Phone Is Smart, but Can It Think?

... E. Rich and K. Knight. Artificial intelligence. McGraw-Hill, New York, NY, 2nd edition, 2009. E. Rich, K. Knight, and S. B. Nair. Artificial intelligence. Tata McGraw-Hill, New Delhi, 3rd edition, 2009. S. J. Russell and P. Norvig. Artificial Intelligence: A Modern Approach. Prentice Hall, Upper Sad ...
disserertation complete 4
disserertation complete 4

... ‘invisible gearing’ of the mechanical clock changed scientific views on language, consciousness and external behavior. He demonstrated that the role of the mechanical clock in the philosophical dispute initiated by René Descartes known as the bête machine debate, in which the idea is postulated that ...
Robotics? - OpenHouse @ DEIB
Robotics? - OpenHouse @ DEIB

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Out of Context - Media Lab Login
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Convergence singularities: As man becomes machine
Convergence singularities: As man becomes machine

... Abstract—. Within the AI domain there is discussion on the singularity event, the situation where machines achieve a level of consciousness and intelligence equal to or exceeding that of humans. This paper explores different perspectives on such a singularity. The main contentions are that a) it is ...
13th International Distributed Artificial Intelligence Workshop
13th International Distributed Artificial Intelligence Workshop

... A wide range of research communitiesthroughout the world are nowaddressing issues related to DAI. This include work on CKBS(cooperating knowledge-based systems), CSCW (computer-supported cooperative work), ICIS (intelligent cooperating information systems), GDSS(group decision support systems), CE ( ...
Learning companions 1
Learning companions 1

... Human edits LC’s knowledge (e.g., Betty’s Brain) LC solves & human gives immediate feedback, hints Human solves & LC gives immediate feedback, hints Human & LC solve separately, then compare (competition) On each step, human & LC negotiate who will do it & what will be ...
alison@ Fri Aug 19 10:42:17 BST 1994 Artificial Intelligence
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... Ultimate goal of AI is to imitate human thought-- artificial neural networks attempt to replicate the connectivity and functioning of biological neural networks (i.e. the human brain). Theory is that replicating the brain’s structure, the artificial network will, in turn, possess the ability to lear ...
AAAI Proceedings Template
AAAI Proceedings Template

... by other agents, or user intervention) This search strategy is thus similar to the one described by Smith et al. (1998). In addition, heuristic values are attached to the various subtasks, so forward search can make use of these values for selecting a sub-task decomposition (this is similar to the u ...
Turing Machine
Turing Machine

... • Based on the logic of the Gödel’s Theorem • That there are things humans do that a computer cannot do • That humans do this because of physical processes within the brain that are noncomputable, i.e. that cannot be simulated by a computer – compare to “brain in a vat” !? ...
Virtual Humans - Institute for Creative Technologies
Virtual Humans - Institute for Creative Technologies

... Interactive virtual worlds provide a powerful medium for experiential learning. The overarching is goal is to enrich such worlds with virtual humans—autonomous agents that support face-to-face interaction with people in virtual environments— thereby making them applicable to a wide range of training ...
1.5 Impact of emerging technologies
1.5 Impact of emerging technologies

... Virtual reality is an artificial environment that is created with software. The user will normally wear a head mounted display which will simulates their physical presence in places in the real world or imagined worlds. Uses: 1. Training: Allow professionals to conduct training in a virtual environm ...
Rule-Based/Expert Systems
Rule-Based/Expert Systems

... Expert Systems are extremely useful in the right domain. They are inflexible and require a lot of collaboration between a knowledge engineer and a domain expert. When implemented correctly, expert systems remove human error from the equation. ...
The MIT Artificial Intelligence Lab
The MIT Artificial Intelligence Lab

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assign2a
assign2a

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Dave Mauzy
Dave Mauzy

... Classical relies on heuristics to manage to control search, and requires the interaction of several modules none of which individually produce any kinds of behavior. These agents exist in a vacuum. Nouvelle relies on the emergence of more complex behavior through combining of simpler behaviors. Thes ...
AI*IA Workshop on Deep Understanding and Reasoning: A
AI*IA Workshop on Deep Understanding and Reasoning: A

... obsolete (if not in the spirit certainly in the details, as they have been immensely refined by successive research), but the problems and the issues raised are still up in their full glory. In particular two things come to my mind: the three criteria set forth by McCarthy and Hayes, and the problem ...
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03 Lecture CSC462

... • Beginning with Aristotle, philosophers and mathematicians have attempted to formalize the rules of logical thought • Logicist approach to AI: describe problem in formal logical notation and apply general deduction procedures to solve it • Problems with the logicist approach ...
Fall Symposium Series
Fall Symposium Series

... information space, agents that users can direct to perform information finding tasks, or knowledge-based intermediaries that employ retrieval strategies to gather information relevant to a user’s request. The purpose of this symposium is to examine the state of the art in knowledge navigation by exa ...
Camera-ready Manuscript for the Proceedings of icame 2009
Camera-ready Manuscript for the Proceedings of icame 2009

... means that it has control over personal actions and inner state. Such system should also be capable of learning by experience. Possibility of interaction with the surroundings and autonomy of computer systems is not a new idea. There are already many systems of that kind, such as programmes for real ...
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Human–computer interaction

Human-computer interaction (HCI) researches the design and use of computer technology, focusing particularly on the interfaces between people (users) and computers. Researchers in the field of HCI both observe the ways in which humans interact with computers and design technologies that let humans interact with computers in novel ways.As a field of research, Human-Computer Interaction is situated at the intersection of computer science, behavioral sciences, design, media studies, and several other fields of study. The term was popularized by Stuart K. Card and Allen Newell of Carnegie Mellon University and Thomas P. Moran of IBM Research in their seminal 1983 book, The Psychology of Human-Computer Interaction, although the authors first used the term in 1980 and the first known use was in 1975. The term connotes that, unlike other tools with only limited uses (such as a hammer, useful for driving nails, but not much else), a computer has many uses and this takes place as an open-ended dialog between the user and the computer. The notion of dialog likens human-computer interaction to human-to-human interaction, an analogy the discussion of which is crucial to theoretical considerations in the field.
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