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AI PLANNING FOR TRANSPORTATION LOGISTICS
AI PLANNING FOR TRANSPORTATION LOGISTICS

... The recent evolution of the domain independent heuristic planning started with the work of Drew McDermott ([13], [14]) and the UNPOP planner. The planner is not restricted to pure STRIPS representations, supporting the more expressive ADL language [16]. UNPOP proceeds forwards in the state-space. Es ...
3) know what software is used for
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... VRML Virtual Reality Programming Language used to create real-time animated scenes Authoring Programs VRML programs widely used to create Web-based VR applications Applications Simulate experiences or training environments ...
Prominence of Expert System and Case Study
Prominence of Expert System and Case Study

... different issues and to decide; but can we design machines to do all these things? Some philosophers are open to the idea that machines will perform all the tasks a human can do. But also there are some, who openly ridicule this idea and they believe that humans are very sophisticated creatures crea ...
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... "The exciting new effort to make computers think ... machines with minds, in the full and literal senses" (Haugeland, 1985) "[The automation of] activities that we associate with human thinking, activities such as decision-making, problem solving, learning ..." (Bellman, 1978) Prepared by: Haider Ra ...
algorithms and aristotle
algorithms and aristotle

... life in software programs and are active in almost every technical device. They calculate the shortest route through a city, predict who will fall in love with whom, influence the global economy, and may, if necessary to complete their given task, even independently develop new algorithms. ...
Cognitive Decathlon
Cognitive Decathlon

... such that, if its responses were given along with corresponding responses from a set of humans on the same tasks, its data would not be able to be picked out as anomalous. The criterion of verisimilitude might be viewed as somewhat contentious, because an artificial agent that is smarter/stronger/be ...
James C. Bezdek Computer Science, U. of Melbourne, Parkville, Vic
James C. Bezdek Computer Science, U. of Melbourne, Parkville, Vic

... research association, including in its membership AI specialists of every subfield pursuing their interests in publicly and privately funded facilities. The NRCC considered the results of our survey and its own investigation and, in late June 1984, agreed to publish Computational Intelligence, its ...
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Learning for Search AAAI Press Papers from the AAAI Workshop

... Copyright © 2006, AAAI Press The American Association for Artificial Intelligence 445 Burgess Drive Menlo Park, California 94025 USA AAAI maintains compilation copyright for this technical report and retains the right of first refusal to any publication (including electronic distribution) arising f ...
ARTIFICIAL INTELLIGENCE SIMULATION PLATFORM
ARTIFICIAL INTELLIGENCE SIMULATION PLATFORM

... The goal of the project was to create a study development environment with a set of embedded tools that enable the students to solve many interactively and practically focused tuition tasks as well as to conduct their individual research. The outcome of the project is a software platform that helps ...
Anthropomorphism and The Social Robot
Anthropomorphism and The Social Robot

... are the motivation for social robot research, then people’s perceptual biases have an influence on how the robot is realised. The question arising in this paper is not how to avoid anthropomorphism, but rather how to embrace it in the field of social robots. Shneiderman takes the extreme view of the ...
Planning - UTSA CS
Planning - UTSA CS

... The edge points to a node that includes the preconditions of the action. The initial node is the goal to be achieved. Search succeeds if a node is true of the initial state. ...
here - FER
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... a population of robots where selection, evaluation, and reproduction, the main mechanisms of evolutionary algorithms, are carried out by and between the robots, all in a distributed, asynchronous, and autonomous manner [11]. Thus, this approach seems naturally suited for work with multi-agent system ...
Artificial Intelligence and Responsible Innovation Miles Brundage
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... catalyze something that might never have existed otherwise or they make it happen sooner than it otherwise would have. Additionally, there can be indirect effects of the choice of an application domain for developing an AI approach – path dependence may be created with regards to the details of the ...
What is AI?
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... Mathematica (a famous book by Alfred North Whitehead and Bertrand Russell on logic and mathematics). See http://www.dartmouth.edu/~ai50/homepage.html for a conference celebrating the 50th anniversary of the Dartmouth ...
Empirical Methods in AI
Empirical Methods in AI

... example, how do we measure performance in a machine- or implementation-independent way? The existence of a successful workshop series such as this one demonstrates that the field is facing up to such challenges. We should not rest on our laurels because good experimental practice is still being esta ...
Learning to Connect Language and Perception Raymond J. Mooney
Learning to Connect Language and Perception Raymond J. Mooney

... Ideally, an AI system would be able to learn language like a human child, by being exposed to utterances in a rich perceptual environment. The perceptual context would provide the necessary supervisory information, and learning the connection between language and perception would ground the system’s ...
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Artificial intelligence Problem List some human abilities, which

... • find the orientation of the text. • separate individual lines and possibly pictures • separate individual letters and possibly pictures • identify the letters. These things turn out to be harder than expected. Face recognition: Airports would like to screen and identify passengers for security rea ...
can machines think? - The Dartmouth Undergraduate Journal of
can machines think? - The Dartmouth Undergraduate Journal of

... analyzing, making informed guesses, and forming plans. As long as we are willing to describe these acts in the same manner that we describe them when referring to our own adaptable mental process, we can and must conclude that it will be possible for computers to think. ...
A General Reading List for Artificial Intelligence
A General Reading List for Artificial Intelligence

... In the 1984-85 academic year, we offered a seminar to Ph.D. students studying for the qualifying examination in AI in the Computer Science Department at Stanford. Since the intent was to survey nearly all of AI and highlight key issues, the annotated reading list may be helpful to others who are get ...
On Abstract Intelligence
On Abstract Intelligence

... genomes will solve almost all problems and answer almost all questions about the myths of the natural intelligence. Although the aim is important and encouraging, computer and software scientists would doubt this promising prediction. This is based on the basic reductionism of science and the follow ...
E-Proceedings - Machine Ethics and Machine Law
E-Proceedings - Machine Ethics and Machine Law

... (Schwegler 2016) discusses how developers can ensure that their machines tell the truth by accessing reliable sources and protecting knowledge bases from enemy attacks, as well as how users can recognize such systematically lying machines. ...
Reports of the AAAI 2010 Conference Workshops
Reports of the AAAI 2010 Conference Workshops

... from one field to problems from the other, and to identify the key issues to be addressed in increasing the convergence between security and AI. This is a fertile area for research, and has been attracting an increasing amount of interest in both communities. Prior to this workshop there was a 2009 ...
Artificial Intelligence and Computer Games
Artificial Intelligence and Computer Games

... humid or it might be very humid. The rule sets can account for this and possibly test for both conditions. NPC Learning The previous discussion described how NPC’s can make decisions using Fuzzy Logic and Bayesian Networks. That’s great and can make for human like NPC’s but these methods are predict ...
Dartmouth Conference: The Founding Fathers of AI Herbert Simon
Dartmouth Conference: The Founding Fathers of AI Herbert Simon

... “We propose that a 2 month, 10 man study of artificial intelligence be carried out during the summer of 1956 at Dartmouth College in Hanover, New Hampshire. The study is to proceed on the basis of the conjecture that every aspect of learning or any other feature of intelligence can in principle be ...
Dartmouth Conference: The Founding Fathers of AI Herbert Simon
Dartmouth Conference: The Founding Fathers of AI Herbert Simon

... “We propose that a 2 month, 10 man study of artificial intelligence be carried out during the summer of 1956 at Dartmouth College in Hanover, New Hampshire. The study is to proceed on the basis of the conjecture that every aspect of learning or any other feature of intelligence can in principle be ...
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Existential risk from artificial general intelligence

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