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The Project ENTs: Towards Modeling Human
The Project ENTs: Towards Modeling Human

... In both continuous and discrete time environments, it is usually not possible to deliberately plan behaviour of h-agents using STRIPS-like method [20], because the simulation can not be paused until the plan is finished, and an agent must also be reactive in some way; in such case the plan would hav ...
Class Overview and Intro to AI
Class Overview and Intro to AI

... he was head of Hut 8, the section responsible for German naval cryptanalysis. He devised a number of techniques for breaking German ciphers • After the war he worked at the National Physical Laboratory, where he created one of the first designs for a stored-program computer, the ACE. In 1948 Turing ...
The Relevance of Intent to Human-Android Strategic Interaction and
The Relevance of Intent to Human-Android Strategic Interaction and

... conceptual principles of intent provided in this paper may be one of the first important steps to corroborating the existence of an artificially constructed consciousness [1]. If agents appear to be able to consider alternative courses of action and to work toward an intended outcome by choosing an ...
Computing for Human Movement
Computing for Human Movement

... Introduces the basic principles of knowledge representation and search which underlie symbolic Artificial Intelligence and illustrates these principles by enabling students to represent and manipulate knowledge in small AI systems, using the Prolog computer language. The unit also describes the appl ...
Artificial Intelligence (Lecture – 1)
Artificial Intelligence (Lecture – 1)

... playing games of chess in an expert fashion and other activities which intelligent people can do well. Now, examples of mundane tasks are planning route. Suppose you want to go to here from the market and you plan a path along which you will go. Or you want to go from here to let us a say a particu ...
CV - School of Computing - University of South Alabama
CV - School of Computing - University of South Alabama

... “Social Media for Decision Informatics with Application to Emerging Events”, funded by the CVDI Industry Advisory Board, PI: Ryan Benton Co-PI: Chaomei Chen, Jian Chen and Raju Gottumukkala. Amount: $77,000. July 1, 2012 – June 30, 2013. “I/UCRC FRP: Collaborative Research: Fundamental Research in V ...
Mechanical Production Design Dev.
Mechanical Production Design Dev.

... Inventory system, Network problem, Shop Floor problems in a manufacturing environment. ...
CSC 480: Artificial Intelligence
CSC 480: Artificial Intelligence

...  communicate ...
Hermes: Implementing Goal-Oriented Agent Interactions
Hermes: Implementing Goal-Oriented Agent Interactions

... The sub-goal relationships between the Trade, Agree, and Exchange interactions goals (refer to Figure 2) are implemented by the Trade Coordination plan waiting for completion of the Agree and Exchange IGs (lines 3 and 7 in Algorithm 1). The dependency between Agree and Exchange is achieved by trigg ...
Slides ClassSlides - School of Computer Science
Slides ClassSlides - School of Computer Science

... l'Eclairage) solved this problem in 1976 with the development of the Lab colour space. A three-dimensional color space was the result. In this model, the color differences which you perceive correspond to distances when measured colorimetrically. The a axis extends from green (-a) to red (+a) and th ...
Grounding and Solving in Answer Set Programming
Grounding and Solving in Answer Set Programming

... depend on each other. This graph induces a partition of the input program into subprograms, associated with the strongly connected components, and a topological ordering over them. The subprograms are instantiated one at a time starting from the ones associated with the lowest components in the topo ...
SPRING 2001 5 Insert Honeywell Ad
SPRING 2001 5 Insert Honeywell Ad

... more information about these and other collocated events. You can also contact us at 650/328-3123 or by email at [email protected]. ...
CUUS366-02 clean wjc
CUUS366-02 clean wjc

... was not generally recognized. In particular, applications to education (situated learning; Lave & Wenger, 1991) and expert system design (communities of practice; Wenger, 1998) were difficult for proponents to articulate – and for others to understand – because the epistemological foundation of know ...
Full PDF - public.asu.edu
Full PDF - public.asu.edu

... Kurt VanLehna, Arthur C. Graesserb, G. Tanner Jacksonb, Pamela Jordana, Andrew Olneyb, Carolyn P. Roséc aLearning ...
AIspace: Tools for Learning Artificial Intelligence
AIspace: Tools for Learning Artificial Intelligence

... in all other topics. A detailed analysis of the specific instances of use indicates that this is likely due to the nature of the topic. Search is presented as a collection of methods which can be compared on a small number of different criteria (e.g., completeness, optimality). It turns out that the ...


... In developing of nonlinear expert system simulation models, the proper selection of input variables is a challenging problem. Therefore, a false combination of input variables could prevent the simulation model from achieving the optimal solution. The presented methodology in this book is an applica ...
Full size
Full size

... Initial plan contains Start, F inish, Start ≺ F inish While (no solution) Select an open precondition p on an action B Find each action A that satisfies that precondition; generate a new plan for each action. for each of these plans: Add ordering constraints A ≺ B , plus causal links A →p B Resolve ...
Full size
Full size

... Initial plan contains Start, F inish, Start ≺ F inish While (no solution) Select an open precondition p on an action B Find each action A that satisfies that precondition; generate a new plan for each action. for each of these plans: Add ordering constraints A ≺ B , plus causal links A →p B Resolve ...
Printable
Printable

... ordering constraints. • A consistent plan with no open preconditions is a solution. • We can then linearize this plan to get a sequence of actions. ...
Agent-Oriented Methodologies - Towards A Challenge Exemplar
Agent-Oriented Methodologies - Towards A Challenge Exemplar

... Allowing comparison with Non Agent-oriented approaches. For agent orientation to be widely adopted, its strengths in relation to more conventional approaches must be made easy to comprehend. The exemplar can play an important part here by facilitating and encouraging comparisons with non agentorient ...
Regulation 2014 Autonomous
Regulation 2014 Autonomous

... 3. Write a C program for searchable dictionary. First, create the dictionary file (which contains character-string, word & definition). Second, the program reads character-string, word and definition from dictionary file. Then, the user can type a character-string or word, and the program will searc ...
Research Trends in Technology-based Learning from 2000 to 2009
Research Trends in Technology-based Learning from 2000 to 2009

... emphasized may help researchers to identify the research trends or design criteria. For example, Waight, Willging, and Wentling (2004) clarified e-learning reports published by government, business, and associations to understand the impacts and the focus of e-learning in the United States from 1999 ...
Artificial Intelligence and Software Engineering: Status and Future
Artificial Intelligence and Software Engineering: Status and Future

... During the last decades the disciplines of Artificial Intelligence (AI) and Software Engineering (SE) have developed separately without much exchange of research results. In AI we researched techniques for the computations that made it possible to perceive, reason, and act. Research in SE was concer ...
Three Years of Using Robots in the Artificial Intelligence Course
Three Years of Using Robots in the Artificial Intelligence Course

... survey course, across the Computer Science curriculum, for recruitment of women (e.g., [Haller and Fossum 2001]), in Computer Science I (e.g., [Fagin 2000]) and in the Artificial Intelligence course (e.g., [Kumar and Meeden 1998; Harlan et al 2001; Klassner 2002]). We have been using robots in our A ...
The AAAI 2006 Mobile Robot Competition and
The AAAI 2006 Mobile Robot Competition and

... Scavenger Hunt: Autonomous robots were required to search a cluttered and crowded environment for a defined list of objects and were judged on task performance. Human-Robot Interaction: Teams submitted robots that demonstrate engaging interactions between people and robots. The robots perform tasks ...
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Human-Computer Interaction Institute

The Human-Computer Interaction Institute (HCII) is a department within the School of Computer Science at Carnegie Mellon University (CMU) in Pittsburgh, Pennsylvania. It is considered one of the leading centers of human-computer interaction research,and was named one of the top ten most innovative schools in information technology by Computer World in 2008. For the past three decades, the institute has been the predominant publishing force at leading HCI venues, most notably ACM CHI, where it regularly contributes more than 10% of the papers. Research at the institute aims to understand and create technology that harmonizes with and improves human capabilities by integrating aspects of computer science, design, social science, and learning science.HCII offers Human Computer Interaction (HCI) as an additional major for undergraduates, as well as a master's degree and PhDs in HCI. Students from various academic backgrounds come together from around the world to participate in this program. Students hold undergraduate degrees in psychology, design, and computer science, as well as many others. Students enter the program at various stages in their academic and professional careers. HCII research and educational programs span a full cycle of knowledge creation. The cycle includes research on how people work, play, and communicate within groups, organizations, and social structures. It includes the design, creation, and evaluation of technologies and tools to support human and social activities.
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