Representing Synonymity in Causal Logic and in
... eliminates synonymity rules in favor of definite rules, and it is only applicable when the synonymity rules are “unconditional”—have tautological bodies. We plan to design a more versatile implementation of MAD that will use an answer set solver for search (in the style of the coala approach to acti ...
... eliminates synonymity rules in favor of definite rules, and it is only applicable when the synonymity rules are “unconditional”—have tautological bodies. We plan to design a more versatile implementation of MAD that will use an answer set solver for search (in the style of the coala approach to acti ...
Deploying Softbots on the World Wide Web
... visionaries such as Alan Kay and Nicholas Negroponte have been advocating agents personal assistants that act on your behalf in cyberspace. While the notion of agents has been popular for more than a decade, we have yet to build agents that are both widely used and intelligent. The Web presents a go ...
... visionaries such as Alan Kay and Nicholas Negroponte have been advocating agents personal assistants that act on your behalf in cyberspace. While the notion of agents has been popular for more than a decade, we have yet to build agents that are both widely used and intelligent. The Web presents a go ...
The man behind the curtain: Overcoming skepticism about creative
... as the science fiction author Arthur C. Clarke puts it: “Any sufficiently advanced technology is indistinguishable from magic.” This leaves us with a powerful motivator to understand how people perceive the division of creativity between creator and creation. Because computers are currently perceive ...
... as the science fiction author Arthur C. Clarke puts it: “Any sufficiently advanced technology is indistinguishable from magic.” This leaves us with a powerful motivator to understand how people perceive the division of creativity between creator and creation. Because computers are currently perceive ...
Deployment and dynamic reconfiguration planning for distributed
... There has been a lot of work in the sensing and acting phases [˪3, 4, 6, 15, 16, 28] but much less work on the problem of finding the optimal techniques for planning a reconfiguration [3, 18]. The artificial intelligence (AI) community has been dealing with this kind of problem for a long time, wher ...
... There has been a lot of work in the sensing and acting phases [˪3, 4, 6, 15, 16, 28] but much less work on the problem of finding the optimal techniques for planning a reconfiguration [3, 18]. The artificial intelligence (AI) community has been dealing with this kind of problem for a long time, wher ...
Lecture Notes in Computer Science - AIAI
... Our planning representation is based on (Issues - Nodes - Constraints Annotations) [10], a general-purpose constraint-based ontology that can be used to
represent plans in the form of a set of constraints on the space of all possible plans in
the application domain. Each plan is considered ...
... Our planning representation is based on
affordance - Aleksandra Derra
... successfully applied to a number of problems in artificial intelligence. In doing so, however, AI researchers have often employed their own interpretations of ecological concepts like affordances – interpretations that sometimes differ significantly from those of ecological psychology. Many possibil ...
... successfully applied to a number of problems in artificial intelligence. In doing so, however, AI researchers have often employed their own interpretations of ecological concepts like affordances – interpretations that sometimes differ significantly from those of ecological psychology. Many possibil ...
Curriculum Vitae - University of Pittsburgh School of Law
... Research Interests: My research interests in learning, law, and computer science are to: (1) Develop computational models of case-based reasoning (CBR) and argumentation in domains like law and practical ethics to better understand decision-making and as a basis for intelligent systems to educate st ...
... Research Interests: My research interests in learning, law, and computer science are to: (1) Develop computational models of case-based reasoning (CBR) and argumentation in domains like law and practical ethics to better understand decision-making and as a basis for intelligent systems to educate st ...
Applications of Artificial Neural Networks: A Review
... artificial intelligence, which attempts to understand and model human brain functionality. Artificial intelligence is a part of computer science which focuses to creation of intelligent machines, that is, systems that work and behave like humans. From recent few years, artificial neural networks hav ...
... artificial intelligence, which attempts to understand and model human brain functionality. Artificial intelligence is a part of computer science which focuses to creation of intelligent machines, that is, systems that work and behave like humans. From recent few years, artificial neural networks hav ...
Comparative Analysis Of shortest Path Optimization
... Lecturer. Webuniv, New Delhi [email protected] ...
... Lecturer. Webuniv, New Delhi [email protected] ...
Machine Learning
... – Occam’s razor – simplest ML method – Subsumption of other theories (AI vs ML) – ML very very popular in real world applications • ML can be used in nearly every topic involving data that we discuss ...
... – Occam’s razor – simplest ML method – Subsumption of other theories (AI vs ML) – ML very very popular in real world applications • ML can be used in nearly every topic involving data that we discuss ...
Resolution Based Explanations for Reasoning in the Description Logic
... restrictions. Since disjunction is not allowed in CLASSIC, explanations are given based on structural subsumption comparisons. Lengthy explanations are decomposed into smaller steps and a single step explanation is followed by more detailed explanations. This work is extended in [1] by using sequent ...
... restrictions. Since disjunction is not allowed in CLASSIC, explanations are given based on structural subsumption comparisons. Lengthy explanations are decomposed into smaller steps and a single step explanation is followed by more detailed explanations. This work is extended in [1] by using sequent ...
Mis – MASTER STUDENTS- Presentation 10
... • Use hardware and software that parallel the processing patterns of a biological brain. • “Learn” patterns from large quantities of data by searching for relationships, building models, and correcting over and over again the model’s own mistakes • Humans “train” the network by feeding it data for w ...
... • Use hardware and software that parallel the processing patterns of a biological brain. • “Learn” patterns from large quantities of data by searching for relationships, building models, and correcting over and over again the model’s own mistakes • Humans “train” the network by feeding it data for w ...
Digital Library of Expert System Based at Indonesia Technology
... Also in [13], backward chaining is matching facts or statements starting from the right (first THEN). In other words, the reasoning starts from the first hypothesis, and to test the truth of this hypothesis to look for the facts that exist in the knowledge base. In [14], an inference engine using ba ...
... Also in [13], backward chaining is matching facts or statements starting from the right (first THEN). In other words, the reasoning starts from the first hypothesis, and to test the truth of this hypothesis to look for the facts that exist in the knowledge base. In [14], an inference engine using ba ...
COSC343: Artificial Intelligence
... (Lectures 3–12). 3 questions are on the rest of the course (Lectures 13-24). Each question is worth 12 marks. There are 60 marks in total in the exam. You should bring a (non-programmable) calculator, for probability questions. You’re not allowed to bring anything else. ...
... (Lectures 3–12). 3 questions are on the rest of the course (Lectures 13-24). Each question is worth 12 marks. There are 60 marks in total in the exam. You should bring a (non-programmable) calculator, for probability questions. You’re not allowed to bring anything else. ...
paradigms - Robot Intelligence Technology Lab
... – List the seven areas of Artificial Intelligence – List the three primitives of robot paradigms and express the three paradigms of robotics in terms of these primitives Introduction to AI Robotics R. Murphy (MIT Press 2000) for second edition ...
... – List the seven areas of Artificial Intelligence – List the three primitives of robot paradigms and express the three paradigms of robotics in terms of these primitives Introduction to AI Robotics R. Murphy (MIT Press 2000) for second edition ...
H - Computer Science | SIU
... produce conflicting rules. To resolve the conflict, the knowledge engineer has to attach a weight to each expert and then calculate the composite conclusion. But no systematic method exists to obtain these weights. ...
... produce conflicting rules. To resolve the conflict, the knowledge engineer has to attach a weight to each expert and then calculate the composite conclusion. But no systematic method exists to obtain these weights. ...
Final Course Review
... • Unlike search techniques, means-ends analysis can select an action even if it is not possible in the current state. • If a planner selects an action that results in the goal state, but is not currently possible, then it will be set as a new goal the conditions necessary for carrying put that actio ...
... • Unlike search techniques, means-ends analysis can select an action even if it is not possible in the current state. • If a planner selects an action that results in the goal state, but is not currently possible, then it will be set as a new goal the conditions necessary for carrying put that actio ...
coppin chapter 19
... Mobile agents can move from one location to another. This can mean physical locations (for robots) or network locations. A computer virus is a kind of mobile agent. Viruses are usually autonomous but not ...
... Mobile agents can move from one location to another. This can mean physical locations (for robots) or network locations. A computer virus is a kind of mobile agent. Viruses are usually autonomous but not ...
The Promise of Artificial Intelligence
... hope has long raced far ahead of reality. At the first AI conference, held at Dartmouth College in 1956, the view was that AI could almost be achieved in one summer’s worth of work. In the 1960s and 1970s, some computer scientists predicted that within a decade we would see machines that could think ...
... hope has long raced far ahead of reality. At the first AI conference, held at Dartmouth College in 1956, the view was that AI could almost be achieved in one summer’s worth of work. In the 1960s and 1970s, some computer scientists predicted that within a decade we would see machines that could think ...
Solving Distributed Constraint Optimization Problems Using Logic
... Department of Computer Science New Mexico State University {tile, tson, epontell, wyeoh}@cs.nmsu.edu ...
... Department of Computer Science New Mexico State University {tile, tson, epontell, wyeoh}@cs.nmsu.edu ...
Statistical Relational Artificial Intelligence
... An intelligent agent interacting with the real world will encounter individual people, courses, test results, drugs prescriptions, chairs, boxes, etc., and needs to reason about properties of these individuals and relations among them as well as cope with uncertainty. Uncertainty has been studied in ...
... An intelligent agent interacting with the real world will encounter individual people, courses, test results, drugs prescriptions, chairs, boxes, etc., and needs to reason about properties of these individuals and relations among them as well as cope with uncertainty. Uncertainty has been studied in ...
Depth Perception
... Later, a variant of the Dev model was published by Marr and Poggio 1977. In subsequent writings Marr took the plausible hypothesis that our visual world is made up of relatively few connected regions, and showed how it could be developed into an elegant mathematical theory relating the structure of ...
... Later, a variant of the Dev model was published by Marr and Poggio 1977. In subsequent writings Marr took the plausible hypothesis that our visual world is made up of relatively few connected regions, and showed how it could be developed into an elegant mathematical theory relating the structure of ...