Genetic Generation of Connection Patterns for a Dynamic Artificial
... The transient response of dendrites is of particular value since we are interested in processing dynamic signals. Figure 2a depicts a simple dendritic tree to illustrate the transient response due to impulse current injected at four different locations, A, B, C, and D. The voltage impulse response a ...
... The transient response of dendrites is of particular value since we are interested in processing dynamic signals. Figure 2a depicts a simple dendritic tree to illustrate the transient response due to impulse current injected at four different locations, A, B, C, and D. The voltage impulse response a ...
Case-Based Reasoning and Expert Systems
... Integrating general expert knowledge in CBR architectures and explicitly considering knowledge evolution A form of learning for generating (more general) knowledge to be executed within a CBR architecture ...
... Integrating general expert knowledge in CBR architectures and explicitly considering knowledge evolution A form of learning for generating (more general) knowledge to be executed within a CBR architecture ...
The Hidden Pattern
... children and repeatedly moving house — not to mention getting divorced and remarried…In short, modern human life in all its variety and chaos. Given all this, it’s been rather difficult for me to find time to work on this book. Every hour I’ve worked on this book, I’ve been intensely aware that I co ...
... children and repeatedly moving house — not to mention getting divorced and remarried…In short, modern human life in all its variety and chaos. Given all this, it’s been rather difficult for me to find time to work on this book. Every hour I’ve worked on this book, I’ve been intensely aware that I co ...
Artificial Emotion Simulation Techniques for Intelligent Virtual
... environment and respond to relevant changes in the environment, reason about the selection and application of operators and actions and be able to pursue and accomplish goals. This type of agent has applications in various fields, including character behavior in virtual environments, as used in elea ...
... environment and respond to relevant changes in the environment, reason about the selection and application of operators and actions and be able to pursue and accomplish goals. This type of agent has applications in various fields, including character behavior in virtual environments, as used in elea ...
PDF 2 of 2 - Massachusetts Institute of Technology
... We have four predicates: Above, Circle, Oval, Square. The numbers above them indicate their arity, or the number of arguments they take. Now these particular predicate names suggest a particular interpretation. The fact that I used this word, "circle", makes you guess that probably the interpretatio ...
... We have four predicates: Above, Circle, Oval, Square. The numbers above them indicate their arity, or the number of arguments they take. Now these particular predicate names suggest a particular interpretation. The fact that I used this word, "circle", makes you guess that probably the interpretatio ...
here - Sogeti Labs
... Chinese do not hesitate to do business via a chatterbot, one can quite well imagine that the rest of the world is following these developments with great interest. In this report the idea that bots are going to play a major role on messenger platforms in everyday life, is central. Although it is sti ...
... Chinese do not hesitate to do business via a chatterbot, one can quite well imagine that the rest of the world is following these developments with great interest. In this report the idea that bots are going to play a major role on messenger platforms in everyday life, is central. Although it is sti ...
Toward Narrative Schema-Based Goal Recognition Models for Interactive Narrative Environments
... automatically inferred from user actions taken in the game environment. Within interactive narratives, player goals may comprise key plot points that must be satisfied in order to advance stories. Goal recognition models offer several potential benefits to interactive narrative systems. First, they ...
... automatically inferred from user actions taken in the game environment. Within interactive narratives, player goals may comprise key plot points that must be satisfied in order to advance stories. Goal recognition models offer several potential benefits to interactive narrative systems. First, they ...
StarPlanner - GitHub Pages
... The process of achieving each objective is depicted in the remaining chapters of this document. The structure of the document is such that each chapter contains more specialized knowledge of its predecessor. More specifically, Chapter 2 contains the general knowledge acquired during research on Arti ...
... The process of achieving each objective is depicted in the remaining chapters of this document. The structure of the document is such that each chapter contains more specialized knowledge of its predecessor. More specifically, Chapter 2 contains the general knowledge acquired during research on Arti ...
In 9122 Applied Soft Computing
... Artificial Intelligence (AI) Artificial intelligence, commonly abbreviated as AI, also known as machine intelligence, is the practice of developing algorithms that make machines (usually computers) able to make seemingly intelligent decisions, or act as if possessing intelligence of a human scale. ...
... Artificial Intelligence (AI) Artificial intelligence, commonly abbreviated as AI, also known as machine intelligence, is the practice of developing algorithms that make machines (usually computers) able to make seemingly intelligent decisions, or act as if possessing intelligence of a human scale. ...
The Criminal Liability of Artificial Intelligence Entities
... computers are replacing more and more simple human activities.5 As long as humanity used computers as mere tools, there was no real difference between computers and screwdrivers, cars, or telephones. When computers became sophisticated, we used to say that computers “think” for us. The problem began ...
... computers are replacing more and more simple human activities.5 As long as humanity used computers as mere tools, there was no real difference between computers and screwdrivers, cars, or telephones. When computers became sophisticated, we used to say that computers “think” for us. The problem began ...
Description Logics and Planning - isi
... Actions can be described at many levels of abstraction. For example, driving and flying are both moving actions with specific means of locomotion. Walking is also a moving action that does not require a transportation vehicle. If we describe moving actions in terms of their properties and constraint ...
... Actions can be described at many levels of abstraction. For example, driving and flying are both moving actions with specific means of locomotion. Walking is also a moving action that does not require a transportation vehicle. If we describe moving actions in terms of their properties and constraint ...
Lecture I -- Introduction and Intelligent Agent
... Every art and every inquiry, and similarly every action and pursuit, is thought to aim at some good ...
... Every art and every inquiry, and similarly every action and pursuit, is thought to aim at some good ...
Toward Narrative Schema-Based Goal Recognition Models for
... overarching narrative structures. In the context of goal recognition, these situations describe events that lead to the completion of goals. This is the knowledge that is engineered into plan libraries in classical plan or goal recognition problems. When devising plan recognition models for interact ...
... overarching narrative structures. In the context of goal recognition, these situations describe events that lead to the completion of goals. This is the knowledge that is engineered into plan libraries in classical plan or goal recognition problems. When devising plan recognition models for interact ...
CMSC 372 Artificial Intelligence
... state, the agent’s current conception of the world state model, a description of how the next state depends on current state and action rules, a set of condition-action rules action, the most recent action, initially none ...
... state, the agent’s current conception of the world state model, a description of how the next state depends on current state and action rules, a set of condition-action rules action, the most recent action, initially none ...
Synthetic Worlds and the Future of Creative Writing
... to say “a bit” was to understate the matter rather dramatically. She insisted on each of them consuming, side by side in their bay-windowed, east-facing breakfast room, at sunrise, a bowl filled with a mountain of crisp blueberries, under a layer of strawberries, atop a mound of oat brain suffused w ...
... to say “a bit” was to understate the matter rather dramatically. She insisted on each of them consuming, side by side in their bay-windowed, east-facing breakfast room, at sunrise, a bowl filled with a mountain of crisp blueberries, under a layer of strawberries, atop a mound of oat brain suffused w ...
Diagnosis windows problems based on hybrid intelligence systems
... 3. Artificial Neural Network Research on neural networks dates back to the 1940s; the discipline of neural networks is well developed with wide applications in almost all areas of science and engineering. The powerful penetration of neural networks is due to their strong learning and generalization ...
... 3. Artificial Neural Network Research on neural networks dates back to the 1940s; the discipline of neural networks is well developed with wide applications in almost all areas of science and engineering. The powerful penetration of neural networks is due to their strong learning and generalization ...
Swarm Intelligence Optimization Algorithms and Their Application
... Particle swarm optimization is easy to implement. The principle of particle swarm optimization is simple, its parameters are less and its application effect is obvious. It mainly used to handle non-linear optimization problems, non-differentiable and complex multi- peak function. It's solving proces ...
... Particle swarm optimization is easy to implement. The principle of particle swarm optimization is simple, its parameters are less and its application effect is obvious. It mainly used to handle non-linear optimization problems, non-differentiable and complex multi- peak function. It's solving proces ...
Directed Model Checking – Planning and Model Checking –
... [1] F. Bacchus and F. Kabanza. Using temporal logics to express search control knowledge for planning. Artificial Intelligence, 116:123–191, 2000. [2] P. Bertoli, A. Cimatti, and M. Roveri. Heuristic search symbolic model checking = efficient conformant planning. In International Joint Conference on ...
... [1] F. Bacchus and F. Kabanza. Using temporal logics to express search control knowledge for planning. Artificial Intelligence, 116:123–191, 2000. [2] P. Bertoli, A. Cimatti, and M. Roveri. Heuristic search symbolic model checking = efficient conformant planning. In International Joint Conference on ...
A Genetic Approach to Planning in Heterogeneous
... the concepts and relationships among them for an agent or a confederation of agents; sometime the scientific community calls this meta-information. The description of each program includes a set of pre-conditions such as: the type, format, amount, and possibly a history of the input data 2 ; the loc ...
... the concepts and relationships among them for an agent or a confederation of agents; sometime the scientific community calls this meta-information. The description of each program includes a set of pre-conditions such as: the type, format, amount, and possibly a history of the input data 2 ; the loc ...
Mark Owen Riedl - College of Computing
... CS 4731 Game Artificial Intelligence: The course explores the role of artificial intelligence in computer games and other entertainment computing applications as envisioned for the future. The goal is not to teach students how AI is used in the current generation of games, but to explore the way aca ...
... CS 4731 Game Artificial Intelligence: The course explores the role of artificial intelligence in computer games and other entertainment computing applications as envisioned for the future. The goal is not to teach students how AI is used in the current generation of games, but to explore the way aca ...
Ray and the Dartmouth Summer of 56
... In February, 1955, McCarthy first approached the Rockefeller Foundation to request funding for a summer seminar at Dartmouth for about 10 participants. In June, he and Claude Shannon, a founder of Information Theory then at Bell Labs, met with Robert Morison, Director of Biological and Medical Resea ...
... In February, 1955, McCarthy first approached the Rockefeller Foundation to request funding for a summer seminar at Dartmouth for about 10 participants. In June, he and Claude Shannon, a founder of Information Theory then at Bell Labs, met with Robert Morison, Director of Biological and Medical Resea ...
AIspace: Tools for Learning Artificial Intelligence
... The AIspace applets have been used in undergraduate and graduate AI courses at UBC and elsewhere (e.g. Nanyang Technological University and Simon Fraser University) for several years. Although feedback from UBC students about the tools has been largely positive, it has become clear that since the in ...
... The AIspace applets have been used in undergraduate and graduate AI courses at UBC and elsewhere (e.g. Nanyang Technological University and Simon Fraser University) for several years. Although feedback from UBC students about the tools has been largely positive, it has become clear that since the in ...
Architectures and Idioms: Making Progress in Agent Design
... extensions. However, as we argued in the introduction, extending the capabilities of the developer often means reducing the expressibility of the architecture in order to biases the search for the correct solution to the problem of designing an agent. Although in our example A1 is constrained relati ...
... extensions. However, as we argued in the introduction, extending the capabilities of the developer often means reducing the expressibility of the architecture in order to biases the search for the correct solution to the problem of designing an agent. Although in our example A1 is constrained relati ...
Measurements of collective machine intelligence
... machines. Yet, it is only a matter of time until this task can also be performed by machines. It is hence becoming more and more difficult to distinguish humans from machines based on their performance in specific cognitive tasks. However, a good performance at the Turing test does not imply higher ...
... machines. Yet, it is only a matter of time until this task can also be performed by machines. It is hence becoming more and more difficult to distinguish humans from machines based on their performance in specific cognitive tasks. However, a good performance at the Turing test does not imply higher ...