
Review of Reasoning Methods in Clinical Decision Support Systems
... mutated and run through the process again. This process is continuously repeated till the proper solution is discovered. Their advantage is that similar to the neural networks, they derive their knowledge from patient data and the most optimal solution can be achieved, but determining what is the fi ...
... mutated and run through the process again. This process is continuously repeated till the proper solution is discovered. Their advantage is that similar to the neural networks, they derive their knowledge from patient data and the most optimal solution can be achieved, but determining what is the fi ...
Artificial Neural Networks-A Study
... artificial intelligence system. The first step toward artificial intelligence came into existence in 1943 when Warren McCulloch, a neurophysiologist, and a mathematician, Walter Pitts, wrote a paper on how neurons work. Mathematical analysis has solved some of the mysteries posed by the new models b ...
... artificial intelligence system. The first step toward artificial intelligence came into existence in 1943 when Warren McCulloch, a neurophysiologist, and a mathematician, Walter Pitts, wrote a paper on how neurons work. Mathematical analysis has solved some of the mysteries posed by the new models b ...
Deontic Cognitive Event Calculus - Rensselaer Polytechnic Institute
... The rule for the communication operator is from the analysis in (Wooldridge 2009, Chapter 7); the rules for the rest of the modal operators come from (Arkoudas & Bringsjord 2008a) and (Bringsjord & Govindarajulu 2013). Rules R11a and R11b enable an agent which believes in {φ2 , . . . , φn } to also ...
... The rule for the communication operator is from the analysis in (Wooldridge 2009, Chapter 7); the rules for the rest of the modal operators come from (Arkoudas & Bringsjord 2008a) and (Bringsjord & Govindarajulu 2013). Rules R11a and R11b enable an agent which believes in {φ2 , . . . , φn } to also ...
Chapter 1
... of this intimate connection was Alan Turing (1950). In this famous paper, Turing introduced what has come to be known as the Turing Test. Turing began with the thesis that the question of what it would mean for a machine to think was essentially unanswerable due to the inherent imprecision in the te ...
... of this intimate connection was Alan Turing (1950). In this famous paper, Turing introduced what has come to be known as the Turing Test. Turing began with the thesis that the question of what it would mean for a machine to think was essentially unanswerable due to the inherent imprecision in the te ...
The Project ENTs: Towards Modeling Human
... (they can not simply stop acting when a sub-task fail). Various approaches to control h-agents have been used so far; such as BDI-architecture [15] or subsumption architecture [5], hierarchical or any-time planning [8, 21], hierarchical rule-based system [16], finite state machines [26] or even neur ...
... (they can not simply stop acting when a sub-task fail). Various approaches to control h-agents have been used so far; such as BDI-architecture [15] or subsumption architecture [5], hierarchical or any-time planning [8, 21], hierarchical rule-based system [16], finite state machines [26] or even neur ...
A Symbol Is Not A Symbol
... primarily studied the operational knowledge - in a way you can say that he has studied the development of Kant's categories. The operative knowledge, the logico-mathematical knowledge, is for Piaget the primary knowledge: And this in two senses; it is considered the central aspect of thinking, with ...
... primarily studied the operational knowledge - in a way you can say that he has studied the development of Kant's categories. The operative knowledge, the logico-mathematical knowledge, is for Piaget the primary knowledge: And this in two senses; it is considered the central aspect of thinking, with ...
CSCE 330 Programming Language Structures
... “The exciting new effort to make computers think… machines with minds, in the full and literal sense.” (Haugeland, 1985) “[The automation of] activities that we associate with human thinking, activities such as decisionmaking, problem solving, learning…” (Bellman, ...
... “The exciting new effort to make computers think… machines with minds, in the full and literal sense.” (Haugeland, 1985) “[The automation of] activities that we associate with human thinking, activities such as decisionmaking, problem solving, learning…” (Bellman, ...
Cognitive Architectures: Where do we go from here?
... Artificial Intelligence has focused on many specific approaches to problem solving, useful for development of expert systems, neglecting its initial ambitious goals. One requirement for AGI, storing and manipulation of vast amount of knowledge, has been addressed by the Cyc project [3]. Started in 1 ...
... Artificial Intelligence has focused on many specific approaches to problem solving, useful for development of expert systems, neglecting its initial ambitious goals. One requirement for AGI, storing and manipulation of vast amount of knowledge, has been addressed by the Cyc project [3]. Started in 1 ...
Introduction to AI
... You have a search tree with a branching factor of b and a maximum depth of m. The depth of the shallowest goal node is d. You are considering searching the tree using either a depth-first search agent or a breathfirst search agent. Which one will have the best space complexity? Explain. ...
... You have a search tree with a branching factor of b and a maximum depth of m. The depth of the shallowest goal node is d. You are considering searching the tree using either a depth-first search agent or a breathfirst search agent. Which one will have the best space complexity? Explain. ...
A HIGH-SPEED ARCHITECTURE FOR BUILDING HYBRID MINDS
... solve everything (e.g. neural networks, propositional logic, genetic algorithms, planners), when it seems that humans rely on a large, messy array of strategies and heuristics for cognitive function (Minsky, 1985). There is a growing consensus that, rather than a small number of “elegant” techniques ...
... solve everything (e.g. neural networks, propositional logic, genetic algorithms, planners), when it seems that humans rely on a large, messy array of strategies and heuristics for cognitive function (Minsky, 1985). There is a growing consensus that, rather than a small number of “elegant” techniques ...
Integrated Maintenance with Case Factories for - CEUR
... dependencies between these knowledge sources as well as high-level maintenance goals. An example is removing one or more cases from a case base. Cases in other CBR systems could depend on one of the removed cases, so they may become inconsistent (to some degree). The system should suggest an appropr ...
... dependencies between these knowledge sources as well as high-level maintenance goals. An example is removing one or more cases from a case base. Cases in other CBR systems could depend on one of the removed cases, so they may become inconsistent (to some degree). The system should suggest an appropr ...
"Abstractions and Hierarchies for Learning and Planning
... techniques for computing approximately optimal solutions for Markov decision processes. In Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence (UAI-97), pages 124–131, 1997. 18. Craig Boutilier and Richard Dearden. Approximating value trees in structured dynamic progra ...
... techniques for computing approximately optimal solutions for Markov decision processes. In Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence (UAI-97), pages 124–131, 1997. 18. Craig Boutilier and Richard Dearden. Approximating value trees in structured dynamic progra ...
An Artificial Intelligence Approach to Legal Reasoning, by Anne von
... Computer Science. She plays, in part, the role of pioneer; artificial intelligence ("AI") techniques have not yet been widely applied to perform legal tasks. Therefore Gardner, and this review, first describe and define the field, then demonstrate a working model in the domain of contract offer and ...
... Computer Science. She plays, in part, the role of pioneer; artificial intelligence ("AI") techniques have not yet been widely applied to perform legal tasks. Therefore Gardner, and this review, first describe and define the field, then demonstrate a working model in the domain of contract offer and ...
Curriculum Vitae, September 2008
... Computing, Napier University, Edinburgh, May 2008. 2. “AI Planning and Computer Games.” Chair of session at the first meeting of the EPSRC Research Network for AI and Games, London, December 2007. 3. “Evolving Intelligence.” Invited seminar, School of Computing, Napier University, Edinburgh, Novembe ...
... Computing, Napier University, Edinburgh, May 2008. 2. “AI Planning and Computer Games.” Chair of session at the first meeting of the EPSRC Research Network for AI and Games, London, December 2007. 3. “Evolving Intelligence.” Invited seminar, School of Computing, Napier University, Edinburgh, Novembe ...
Read paper The big issues
... Are knowledge and conceptualization at the heart of AI? Here is one answer to the question: what is a theory in Al? A theory in Al is a specification of the knowledge underpinning a cognitive skill. A cognitive skill is the information-based control mechanism regulating performance in some domain. I ...
... Are knowledge and conceptualization at the heart of AI? Here is one answer to the question: what is a theory in Al? A theory in Al is a specification of the knowledge underpinning a cognitive skill. A cognitive skill is the information-based control mechanism regulating performance in some domain. I ...
Boden: Computer models of creativity
... produced by following them will fit the style concerned, just as any word string generated by English syntax will be a gramatically acceptable English sentence. (Style-defining rules should not be confused with the associative rules that underlie combinational creativity. It’s true that associative ru ...
... produced by following them will fit the style concerned, just as any word string generated by English syntax will be a gramatically acceptable English sentence. (Style-defining rules should not be confused with the associative rules that underlie combinational creativity. It’s true that associative ru ...
Introduction to Machine Learning
... instance to the same class as the “nearest neighbor” more general methods try to find k nearest neighbors rather than just one but, how do we define “resembles?” ...
... instance to the same class as the “nearest neighbor” more general methods try to find k nearest neighbors rather than just one but, how do we define “resembles?” ...
Multiple Choice
... B. the brain can perform parallel processing, which is difficult for computers. C. machines operate differently than the brain. D. we know how the brain functions and can simulate that in a computer. ...
... B. the brain can perform parallel processing, which is difficult for computers. C. machines operate differently than the brain. D. we know how the brain functions and can simulate that in a computer. ...
1. The Concept of Artificial Intelligence Artificial Intelligence (AI) is a
... AI is generally associated with Computer Science, but it has many important links with other fields such as Maths, Psychology, Cognition, Biology and Philosophy, among many others. Our ability to combine knowledge from all these fields will ultimately benefit our progress in the quest of creating an ...
... AI is generally associated with Computer Science, but it has many important links with other fields such as Maths, Psychology, Cognition, Biology and Philosophy, among many others. Our ability to combine knowledge from all these fields will ultimately benefit our progress in the quest of creating an ...
using simulation and neural networks to develop a scheduling advisor
... visual display. The implicit assumption on Hurrion’s approach is that the visual display can provide the information that can guide the human decision-maker to take an efficient decision. The visual interactive approach has been extensively applied in many simulation applications including the job s ...
... visual display. The implicit assumption on Hurrion’s approach is that the visual display can provide the information that can guide the human decision-maker to take an efficient decision. The visual interactive approach has been extensively applied in many simulation applications including the job s ...
The use of artificial intelligence techniques in preliminary structural
... people learn. The study of how knowledge based systems learn can provide insight into the way people learn and vice versa. Learning new concepts may be through sequences (see figure 3-2 ). Learning may also be done through the acquisition of procedural knowledge. Knowledge based systems can understa ...
... people learn. The study of how knowledge based systems learn can provide insight into the way people learn and vice versa. Learning new concepts may be through sequences (see figure 3-2 ). Learning may also be done through the acquisition of procedural knowledge. Knowledge based systems can understa ...