IUI 2015: ACM International Conference on Intelligent User
... and visionary new concepts or directions for interface design. We do not require evaluations with users, but we do expect papers to include an appropriate evaluation for their stated contribution. Full papers (10 pages with unlimited references) should make substantial, novel and relevant contributi ...
... and visionary new concepts or directions for interface design. We do not require evaluations with users, but we do expect papers to include an appropriate evaluation for their stated contribution. Full papers (10 pages with unlimited references) should make substantial, novel and relevant contributi ...
Physical symbol systems - Research Showcase @ CMU
... picture (Lachman, Lachman & Butterfield, 1979). ...
... picture (Lachman, Lachman & Butterfield, 1979). ...
Yuxing Chen`s Complete Thesis Booklet
... Swarm behavior is a collective behavior exhibited by animals of similar size which aggregate together. It can be applied to any other animal that exhibits swarm behavior. Swarm intelligence is the collective behavior of decentralized, self-organized systems, natural or artificial. The basic idea of ...
... Swarm behavior is a collective behavior exhibited by animals of similar size which aggregate together. It can be applied to any other animal that exhibits swarm behavior. Swarm intelligence is the collective behavior of decentralized, self-organized systems, natural or artificial. The basic idea of ...
Course Descriptions
... ACN 5314 (HCS 5314) Cognitive and Neural Modeling Lab (3 semester hours) Autoassociative, associative, competitive learning, recurrent, and back-propagation artificial neural network algorithms in a “hands-on” micro-computer laboratory environment using special simulation software. Applications to p ...
... ACN 5314 (HCS 5314) Cognitive and Neural Modeling Lab (3 semester hours) Autoassociative, associative, competitive learning, recurrent, and back-propagation artificial neural network algorithms in a “hands-on” micro-computer laboratory environment using special simulation software. Applications to p ...
hybrid expert system agents - Universitatea"Petru Maior"
... component will select the best-fitted specialization (neural network) for the problem solving. Using the proposed architecture the neural networks can be used more flexibly in the problems solving. In the literature, there exist many definitions of the agents’ intelligence [2, 13, 16, 18]. A propose ...
... component will select the best-fitted specialization (neural network) for the problem solving. Using the proposed architecture the neural networks can be used more flexibly in the problems solving. In the literature, there exist many definitions of the agents’ intelligence [2, 13, 16, 18]. A propose ...
ALGORITHMICS
... The methods appropriate for ill-posed problems should be characterized by: • Ability to extract models from examples (learning) • Ability to deal with dynamic environments (adaptability) • Ability to deal with noisy, incomplete or inconsistent data (robustness) • Ability to provide the answer in a r ...
... The methods appropriate for ill-posed problems should be characterized by: • Ability to extract models from examples (learning) • Ability to deal with dynamic environments (adaptability) • Ability to deal with noisy, incomplete or inconsistent data (robustness) • Ability to provide the answer in a r ...
Reflections on Brian Shackels Usability
... of productivity and quality. But the picture is not simple. For example, it may not increase the speed of implementation or reliability of the programs, but may improve program understanding. Such process issues are at the core of Shackel’s paper. 3.2. On-going research into usability test methods I ...
... of productivity and quality. But the picture is not simple. For example, it may not increase the speed of implementation or reliability of the programs, but may improve program understanding. Such process issues are at the core of Shackel’s paper. 3.2. On-going research into usability test methods I ...
Note 1: introduction
... Ideal thought and behavior – rationality – A system is rational if It does the ‘right thing given what it knows ...
... Ideal thought and behavior – rationality – A system is rational if It does the ‘right thing given what it knows ...
Program - Association for the Advancement of Artificial Intelligence
... (please see schedule for detail). In addition, a total of 21 technical demos will be divided among the three evening sessions. Tuesday evening will also include Doctoral Consortium posters and Virtual Agents demos. Wednesday and Thursday will include posters by student abstract authors who will pres ...
... (please see schedule for detail). In addition, a total of 21 technical demos will be divided among the three evening sessions. Tuesday evening will also include Doctoral Consortium posters and Virtual Agents demos. Wednesday and Thursday will include posters by student abstract authors who will pres ...
session02
... • Task-specific & specialized: well-defined goals and environment • The notion of an agent is meant to be a tool for analyzing systems, • It is not a different hardware or new programming languages ...
... • Task-specific & specialized: well-defined goals and environment • The notion of an agent is meant to be a tool for analyzing systems, • It is not a different hardware or new programming languages ...
Lecture 1: Introduction - Centre for Intelligent Machines
... It was engineered for a very specific task. – It can only compute polynomial functions. – Some other functions (e.g. log, trig functions) can be approximated by polynomials. – To perform very different calculations, we would need to re-build the machine. ...
... It was engineered for a very specific task. – It can only compute polynomial functions. – Some other functions (e.g. log, trig functions) can be approximated by polynomials. – To perform very different calculations, we would need to re-build the machine. ...
6.034 Artificial Intelligence by T. Lozano
... Another way to look at the process we have just gone through is as a form of tree search. In this search space, the states are goals, that is, the literals that appear on our stack. The edges (shown with a green dot in the middle of each edge) are the rules or facts. However, there is one complicati ...
... Another way to look at the process we have just gone through is as a form of tree search. In this search space, the states are goals, that is, the literals that appear on our stack. The edges (shown with a green dot in the middle of each edge) are the rules or facts. However, there is one complicati ...
Swarm Intelligence Optimization Algorithms and Their Application
... Swarm intelligence optimization algorithm has passed continuous development and maturity in decades. It has been successfully applied in many fields with its simple, efficient and many other advantages, so it has achieved many good results. The study shows that swarm intelligence optimization algori ...
... Swarm intelligence optimization algorithm has passed continuous development and maturity in decades. It has been successfully applied in many fields with its simple, efficient and many other advantages, so it has achieved many good results. The study shows that swarm intelligence optimization algori ...
PDF - 1.4 MB - Massachusetts Institute of Technology
... Given a literal L, we look for a fact that unifies with L or a rule whose consequent (head) unifies with L. If we find a match, we push the antecedent literals (if any) onto the stack, apply the unifier to the entire stack and then rename all the variables to make sure that there are no variable con ...
... Given a literal L, we look for a fact that unifies with L or a rule whose consequent (head) unifies with L. If we find a match, we push the antecedent literals (if any) onto the stack, apply the unifier to the entire stack and then rename all the variables to make sure that there are no variable con ...
Uncertainty Handling for Sensor Location Estimation in Wireless
... than the range-based ones, they are more economical and provide simpler estimates. In a range-free proximity-based localization algorithm, introduced by Bulusu et al., the anchor nodes broadcast their positions within the network and each sensor node computes its position as a centroid of the positi ...
... than the range-based ones, they are more economical and provide simpler estimates. In a range-free proximity-based localization algorithm, introduced by Bulusu et al., the anchor nodes broadcast their positions within the network and each sensor node computes its position as a centroid of the positi ...
Universally Preferable Behaviour
... These extreme relativists reserve their most vitriolic attacks for anyone who claims any form of certainty. This postmodern generation has outgrown the cultural bigotries of their collective histories, but now view all truth as mere prejudicial assertion. Like wide-eyed children who have been scarre ...
... These extreme relativists reserve their most vitriolic attacks for anyone who claims any form of certainty. This postmodern generation has outgrown the cultural bigotries of their collective histories, but now view all truth as mere prejudicial assertion. Like wide-eyed children who have been scarre ...
Cyber, Intelligence, and Security - Institute for National Security
... the late 1970s.1 In the 1980s, the term “jointness” was coined to describe actions, operations, and organizations in which entities belonging to two or more branches of the armed forces took part.2 Until the 1980s, the command structure of the US military forces was split among five branches, each c ...
... the late 1970s.1 In the 1980s, the term “jointness” was coined to describe actions, operations, and organizations in which entities belonging to two or more branches of the armed forces took part.2 Until the 1980s, the command structure of the US military forces was split among five branches, each c ...
Step back and look at the History of AI
... Take home message from the course Why AI an is exciting area to work in ...
... Take home message from the course Why AI an is exciting area to work in ...
Software Agents - UMBC Agent Web
... and laws. If we understand enough about a designed system (e.g., an automobile), we can conveniently predict its behavior based on its functions, i.e., what it is designed to do. However as John McCarthy observed in his work on “advicetakers” in the mid-1950’s, “at some point the complexity of the s ...
... and laws. If we understand enough about a designed system (e.g., an automobile), we can conveniently predict its behavior based on its functions, i.e., what it is designed to do. However as John McCarthy observed in his work on “advicetakers” in the mid-1950’s, “at some point the complexity of the s ...
approximate reasoning using anytime algorithms
... 2. How can their performance be described as a function of time and the nature of the inputs? 3. How does the output quality of the treatment component depend on the accuracy of the diagnosis it receives? 4. What sort of programming language constructs are needed to specify how the system is built f ...
... 2. How can their performance be described as a function of time and the nature of the inputs? 3. How does the output quality of the treatment component depend on the accuracy of the diagnosis it receives? 4. What sort of programming language constructs are needed to specify how the system is built f ...
AutoTutor: A tutor with dialogue in natural language
... degree of mutual understanding and, therefore, will run a higher risk of failing to meet the other’s expectations. It is noteworthy that human tutors are not able to monitor the knowledge of students at a fine-grained level, because much of what students express is vague, underspecified, ambiguous, ...
... degree of mutual understanding and, therefore, will run a higher risk of failing to meet the other’s expectations. It is noteworthy that human tutors are not able to monitor the knowledge of students at a fine-grained level, because much of what students express is vague, underspecified, ambiguous, ...
A Multi-intelligent Agent System for Automatic Construction of Rule
... The heart diseases diagnosis domain has been used in the complete rule-based expert system as a case study. To evaluate the captured rule-based expert system must be achieved the verification and validation processes. In the verification process, it is determined the possible errors in the system an ...
... The heart diseases diagnosis domain has been used in the complete rule-based expert system as a case study. To evaluate the captured rule-based expert system must be achieved the verification and validation processes. In the verification process, it is determined the possible errors in the system an ...
Robin Douglas Burke Associate Professor
... Krulwich, B.; Ohmaye, E. & Pryor, L. Towards a general content theory of indexing. In Working Notes of the AAAI Symposium on Case-Based Reasoning. AAAI, 1990. ...
... Krulwich, B.; Ohmaye, E. & Pryor, L. Towards a general content theory of indexing. In Working Notes of the AAAI Symposium on Case-Based Reasoning. AAAI, 1990. ...
Point-Based Policy Generation for Decentralized POMDPs
... identifies the set of most likely observations for every agent bounded by a predefined number of observations maxObs, and then performs a backup with only these observations for each agent. The missing observation branches are filled up by using local search. Another approach to this problem is impl ...
... identifies the set of most likely observations for every agent bounded by a predefined number of observations maxObs, and then performs a backup with only these observations for each agent. The missing observation branches are filled up by using local search. Another approach to this problem is impl ...
CS 561a: Introduction to Artificial Intelligence
... • Task-specific & specialized: well-defined goals and environment • The notion of an agent is meant to be a tool for analyzing systems, • It is not a different hardware or new programming languages ...
... • Task-specific & specialized: well-defined goals and environment • The notion of an agent is meant to be a tool for analyzing systems, • It is not a different hardware or new programming languages ...