Posterior cingulate cortex: adapting behavior to a
... Recent studies have provided evidence that both humans and nonhuman animals often employ sophisticated, model-based assumptions when learning about their environments [7,11,15]. That is, agents first determine an appropriate set of constructs by which to model the world, and then update the paramete ...
... Recent studies have provided evidence that both humans and nonhuman animals often employ sophisticated, model-based assumptions when learning about their environments [7,11,15]. That is, agents first determine an appropriate set of constructs by which to model the world, and then update the paramete ...
Learning through Inquiry - Public Schools of Robeson County
... Some of the discouragement of our natural inquiry process may come from a lack of understanding about the deeper nature of inquiry-based learning. There is even a tendency to view it as "fluff" learning. Effective inquiry is more than just asking questions. A complex process is involved when individ ...
... Some of the discouragement of our natural inquiry process may come from a lack of understanding about the deeper nature of inquiry-based learning. There is even a tendency to view it as "fluff" learning. Effective inquiry is more than just asking questions. A complex process is involved when individ ...
extending office systems to manage administrative knowledge
... “part-subpart” and “has-a” (‘is-a,’ ‘p-sp’, ‘has-a’). Descriptive relationships are modeled with “rel:” label
on the link where is the name of the relationship. This allows for any arbitrary relationship without
semantic baggage. There are also standard relationship types such as logic ...
... “part-subpart” and “has-a” (‘is-a,’ ‘p-sp’, ‘has-a’). Descriptive relationships are modeled with “rel:
Piagetian Autonomous Modeler
... the system’s primary assumptions: that both structure and behavior exist in an environment, and that they are different. Structure pertains to the relationships among entities within the environment, while behavior pertains to the transformations occurring within the environment. Structural schemata ...
... the system’s primary assumptions: that both structure and behavior exist in an environment, and that they are different. Structure pertains to the relationships among entities within the environment, while behavior pertains to the transformations occurring within the environment. Structural schemata ...
The CLARION Cognitive Architecture: A Tutorial
... •" Psychologically oriented cognitive architectures: “intelligent” systems that are cognitively realistic; detailed cognitive theories that have been tested through capturing and explaining psychological data; and so on ! •" They help to shed new light on human cognition and therefore they are usefu ...
... •" Psychologically oriented cognitive architectures: “intelligent” systems that are cognitively realistic; detailed cognitive theories that have been tested through capturing and explaining psychological data; and so on ! •" They help to shed new light on human cognition and therefore they are usefu ...
original
... Choose H’ that expresses every teachable concept i.e., H’ is the power set of X Recall: | A B | = | B | | A | (A = X; B = {labels}; H’ = A B) ...
... Choose H’ that expresses every teachable concept i.e., H’ is the power set of X Recall: | A B | = | B | | A | (A = X; B = {labels}; H’ = A B) ...
Orange Sky PowerPoint Template
... Logical operations AND, OR, NOT can be implemented by single-layer perceptrons. ...
... Logical operations AND, OR, NOT can be implemented by single-layer perceptrons. ...
Inverse Reinforcement Learning in Relational Domains
... thus provides more generalizable representations of problems and skills. We show how these different formalisms allow one to create a new IRL algorithm for relational domains that can recover with great efficiency rewards from expert data that have strong generalization and transfer properties. We e ...
... thus provides more generalizable representations of problems and skills. We show how these different formalisms allow one to create a new IRL algorithm for relational domains that can recover with great efficiency rewards from expert data that have strong generalization and transfer properties. We e ...
Artificial Intelligence 4. Knowledge Representation
... Write down a perceptron to calculate a given function (e.g., boolean) Describe what a ANN would calculate Propagate values from left to right to make classifications Calculate weight changes in the perceptron learning rule Simulate the perceptron learning rule ...
... Write down a perceptron to calculate a given function (e.g., boolean) Describe what a ANN would calculate Propagate values from left to right to make classifications Calculate weight changes in the perceptron learning rule Simulate the perceptron learning rule ...
Transfer Learning using Computational Intelligence
... techniques (including related methods and approaches) and Type 2 — articles on transfer learning using computational intelligence techniques. Type 3 — articles on related computational intelligence techniques. The search and selection of these articles were performed according to the following five ...
... techniques (including related methods and approaches) and Type 2 — articles on transfer learning using computational intelligence techniques. Type 3 — articles on related computational intelligence techniques. The search and selection of these articles were performed according to the following five ...
Reinforcement Learning and Markov Decision Processes I
... V * ( s ) Q i ( s, a * ) g s ' d ( s, a * , s ' ) [V * ( s ' ) V i ( s ' )] g || V * V i || V * ( s ) V i 1 ( s ) V * ( s ) Q i ( s, a * ) || V * V i 1 || g || V * V i || Convergence Rate: 1/(1-g) ONLY Pseudo Polynomial ...
... V * ( s ) Q i ( s, a * ) g s ' d ( s, a * , s ' ) [V * ( s ' ) V i ( s ' )] g || V * V i || V * ( s ) V i 1 ( s ) V * ( s ) Q i ( s, a * ) || V * V i 1 || g || V * V i || Convergence Rate: 1/(1-g) ONLY Pseudo Polynomial ...
An Action Selection Calculus
... be classically conditioned. Operant conditioning and means-ends behavior are both clearly manifest in mammalian species. Opinions vary widely as to the relative importance that should be placed on each of the factor approaches, most standard texts (e.g. Bower and Hilgard, 1981; Hergenhahn and Olson, ...
... be classically conditioned. Operant conditioning and means-ends behavior are both clearly manifest in mammalian species. Opinions vary widely as to the relative importance that should be placed on each of the factor approaches, most standard texts (e.g. Bower and Hilgard, 1981; Hergenhahn and Olson, ...
Preference Learning: An Introduction
... or partial order relations, rather than single values. Moreover, training input in preference learning will not, as it is usually the case in supervised learning, be offered in the form of complete examples but may comprise more general types of information, such as relative preferences or different ...
... or partial order relations, rather than single values. Moreover, training input in preference learning will not, as it is usually the case in supervised learning, be offered in the form of complete examples but may comprise more general types of information, such as relative preferences or different ...
When a Decision Tree Learner Has Plenty of Time
... The most common method for learning decision trees is topdown induction: start from the entire set of training examples, partition it into subsets by testing the value of an attribute, and then recursively call the induction algorithm for each subset. Our proposed anytime approach adopts the general ...
... The most common method for learning decision trees is topdown induction: start from the entire set of training examples, partition it into subsets by testing the value of an attribute, and then recursively call the induction algorithm for each subset. Our proposed anytime approach adopts the general ...
Cognitive Systems: Insights, Examples, Systems — Report
... Human-machine/human-computer interaction An area where CSR has an immediate impact is human-machine/human-computer interaction, i.e., how people relate to machines and how this informs the design of these machines. Example applications include assistive robots for caregiving (see separate section be ...
... Human-machine/human-computer interaction An area where CSR has an immediate impact is human-machine/human-computer interaction, i.e., how people relate to machines and how this informs the design of these machines. Example applications include assistive robots for caregiving (see separate section be ...
Statistical learning as a domain-general mechanism of entrenchment
... Within most statistical learning studies, self-report data and the mere fact that the instructions are incidental are used as evidence for implicit processing. Recent work has put this to the test, with evidence both for (Kim, Seitz, Feenstra, & Shams, 2009) and against (Bertels, Franco, & Destrebec ...
... Within most statistical learning studies, self-report data and the mere fact that the instructions are incidental are used as evidence for implicit processing. Recent work has put this to the test, with evidence both for (Kim, Seitz, Feenstra, & Shams, 2009) and against (Bertels, Franco, & Destrebec ...
D2.1c Comparative Cognitive Mapping Guidelines
... the management of transboundary crises was effective and/or legitimate. In addition, to date citizens’ preferences are measured predominantly through survey-research. However, the questions presented to citizens in surveys are often one-dimensional with pre-defined answers and do not allow for nuanc ...
... the management of transboundary crises was effective and/or legitimate. In addition, to date citizens’ preferences are measured predominantly through survey-research. However, the questions presented to citizens in surveys are often one-dimensional with pre-defined answers and do not allow for nuanc ...
Artificial Intelligence
... - Schema.org contains millions of RDF triplets describing known facts: search engines can use this data to provide structured information upon request. - The OpenGraph protocol – which uses RDFa – is used by Facebook to enable any web page to become a rich object in a social graph. Finally, another ...
... - Schema.org contains millions of RDF triplets describing known facts: search engines can use this data to provide structured information upon request. - The OpenGraph protocol – which uses RDFa – is used by Facebook to enable any web page to become a rich object in a social graph. Finally, another ...
Artificial General Intelligence and Classical Neural Network
... These three levels have strong influence to each other, though the decisions on one level usually do not completely depend on the decisions on another level. Also, the problems on one level usually cannot be solved on a different level. For example, a weakness in a theory usually cannot be made up b ...
... These three levels have strong influence to each other, though the decisions on one level usually do not completely depend on the decisions on another level. Also, the problems on one level usually cannot be solved on a different level. For example, a weakness in a theory usually cannot be made up b ...
A First Study of Fuzzy Cognitive Maps Learning Using Particle
... is illustrated in Fig. 1. Each interconnection between two concepts Ci and Cj , has a weight Wij , which is proportional to the strength of the causal link between Ci and Cj . The sign of Wij indicates whether the relation between the two concepts is direct or inverse. The direction of causality ind ...
... is illustrated in Fig. 1. Each interconnection between two concepts Ci and Cj , has a weight Wij , which is proportional to the strength of the causal link between Ci and Cj . The sign of Wij indicates whether the relation between the two concepts is direct or inverse. The direction of causality ind ...
Multiple Systems for Value Learning
... even in more theoretical analyses, once computational considerations are taken into account. Although theory prescribes that a decision variable such as expected utility should take some particular value, exactly computing this value to guide choice is often laborious or intractable. In this case, a ...
... even in more theoretical analyses, once computational considerations are taken into account. Although theory prescribes that a decision variable such as expected utility should take some particular value, exactly computing this value to guide choice is often laborious or intractable. In this case, a ...
Multiagent Learning: Basics, Challenges, and
... own task. In competitive learning scenarios the agents have individual reward functions and each of them is selfish in that it aims at maximizing its own utility even if this is only possible at the cost of the other agents and their individual utilities. As noted by Busoniu, Babuska, and De Schutte ...
... own task. In competitive learning scenarios the agents have individual reward functions and each of them is selfish in that it aims at maximizing its own utility even if this is only possible at the cost of the other agents and their individual utilities. As noted by Busoniu, Babuska, and De Schutte ...
CS 343: Artificial Intelligence Neural Networks Raymond J. Mooney
... • Attempt to understand natural biological systems through computational modeling. • Massive parallelism allows for computational efficiency. • Help understand “distributed” nature of neural representations (rather than “localist” representation) that allow robustness and graceful degradation. • Int ...
... • Attempt to understand natural biological systems through computational modeling. • Massive parallelism allows for computational efficiency. • Help understand “distributed” nature of neural representations (rather than “localist” representation) that allow robustness and graceful degradation. • Int ...
PPT file - UT Computer Science
... • Analogy to biological neural systems, the most robust learning systems we know. • Attempt to understand natural biological systems through computational modeling. • Massive parallelism allows for computational efficiency. • Help understand “distributed” nature of neural representations (rather tha ...
... • Analogy to biological neural systems, the most robust learning systems we know. • Attempt to understand natural biological systems through computational modeling. • Massive parallelism allows for computational efficiency. • Help understand “distributed” nature of neural representations (rather tha ...
Karlsruhe Text - Tecfa
... courseware: the system is able to solve the problems that the learner has to solve. The system is knowledgeable in the domain to be taught. Of course, other computing techniques can produce a correct solution. The interest of AI techniques is less their ability to produce a correct solution than th ...
... courseware: the system is able to solve the problems that the learner has to solve. The system is knowledgeable in the domain to be taught. Of course, other computing techniques can produce a correct solution. The interest of AI techniques is less their ability to produce a correct solution than th ...