Artificial Emotion Simulation Techniques for Intelligent Virtual
... be used in order to improve artificial agent behavior. Virtual characters acting in an intelligent manner based on their goals and desires as opposed to standing still, waiting around for the user and interacting based on pre-scripted dialog trees brings a great deal of depth to the experience. Evol ...
... be used in order to improve artificial agent behavior. Virtual characters acting in an intelligent manner based on their goals and desires as opposed to standing still, waiting around for the user and interacting based on pre-scripted dialog trees brings a great deal of depth to the experience. Evol ...
Cortical Plasticity - Lund University Publications
... When an object is grasped by the hand, a number of touch sensitive receptors in the skin are stimulated, and signals are sent through the nerve fibres in the spinal column, via the medulla and the thalamus to the somatosensory cortex. The object is deconstructed into small segments, because every ne ...
... When an object is grasped by the hand, a number of touch sensitive receptors in the skin are stimulated, and signals are sent through the nerve fibres in the spinal column, via the medulla and the thalamus to the somatosensory cortex. The object is deconstructed into small segments, because every ne ...
dbauer_thesis
... Conservative Simulation Wait until it is safe to process next event, so that events are processed in time-stamp order ...
... Conservative Simulation Wait until it is safe to process next event, so that events are processed in time-stamp order ...
Effective and Efficient Microprocessor Design Space Exploration
... comprehensible model which characterizes the detailed relationship between design parameters and processor responses, one may have to estimate the (predicted) responses (e.g., performance) of all design configurations in a brute-force way to search for the most promising one. Unlike conventional app ...
... comprehensible model which characterizes the detailed relationship between design parameters and processor responses, one may have to estimate the (predicted) responses (e.g., performance) of all design configurations in a brute-force way to search for the most promising one. Unlike conventional app ...
Using Semantic Cues to Learn Syntax
... or left and v is the valence of the parent. Valence encodes how many children have been generated by the parent before generating the current child. It can take one of the three values: 0, 1 or 2. A value of 2 indicates that the parent already has two or more children. This component of the model is ...
... or left and v is the valence of the parent. Valence encodes how many children have been generated by the parent before generating the current child. It can take one of the three values: 0, 1 or 2. A value of 2 indicates that the parent already has two or more children. This component of the model is ...
Artificial Intelligence for Artificial Artificial Intelligence
... experiment obtains an accuracy of 80.01%, which is barely different from a simple majority baseline (with 80% accuracy). Indeed, we doublecheck that the four ballots frequently missed by the models are those in which the mass opinion differs from our expert labels.4 We also compare the confidence, d ...
... experiment obtains an accuracy of 80.01%, which is barely different from a simple majority baseline (with 80% accuracy). Indeed, we doublecheck that the four ballots frequently missed by the models are those in which the mass opinion differs from our expert labels.4 We also compare the confidence, d ...
UT Austin Villa RoboCup 3D Simulation Base Code Release
... team members. We thank all the previous team members for their important contributions. This work has taken place in the Learning Agents Research Group (LARG) at UT Austin. LARG research is supported in part by NSF (CNS-1330072, CNS-1305287), ONR (21C184-01), and AFOSR (FA9550-14-1-0087). Peter Ston ...
... team members. We thank all the previous team members for their important contributions. This work has taken place in the Learning Agents Research Group (LARG) at UT Austin. LARG research is supported in part by NSF (CNS-1330072, CNS-1305287), ONR (21C184-01), and AFOSR (FA9550-14-1-0087). Peter Ston ...
Artificial Intelligence for Artificial Artificial Intelligence
... experiment obtains an accuracy of 80.01%, which is barely different from a simple majority baseline (with 80% accuracy). Indeed, we doublecheck that the four ballots frequently missed by the models are those in which the mass opinion differs from our expert labels. We also compare the confidence, de ...
... experiment obtains an accuracy of 80.01%, which is barely different from a simple majority baseline (with 80% accuracy). Indeed, we doublecheck that the four ballots frequently missed by the models are those in which the mass opinion differs from our expert labels. We also compare the confidence, de ...
Lecture 1 Course Introduction Artificial Intelligence
... action and pursuit, is thought to aim at some good However, humans do not always act rationally 1) Approach more amenable to scientific development than approaches based on human behaviour or human thought. 2) Leads to study correct inference and general laws of thought ...
... action and pursuit, is thought to aim at some good However, humans do not always act rationally 1) Approach more amenable to scientific development than approaches based on human behaviour or human thought. 2) Leads to study correct inference and general laws of thought ...
Goal Recognition Design - Association for the Advancement of
... tracking the activity of passengers in an airport may be performed in order to detect where passengers are heading. In addition, it is possible to set up barriers that control the flow of the passengers to improve the goal recognition task, but equally important to minimize the obstruction to the ea ...
... tracking the activity of passengers in an airport may be performed in order to detect where passengers are heading. In addition, it is possible to set up barriers that control the flow of the passengers to improve the goal recognition task, but equally important to minimize the obstruction to the ea ...
Surpassing Human-Level Face Verification Performance on LFW
... number of Gaussians, the number of classifiers, etc.) must also be determined in advance. Since most existing methods require some assumptions to be made about the structures of the data, they cannot work well when the assumptions are not valid. Moreover, due to the existence of the assumptions, it ...
... number of Gaussians, the number of classifiers, etc.) must also be determined in advance. Since most existing methods require some assumptions to be made about the structures of the data, they cannot work well when the assumptions are not valid. Moreover, due to the existence of the assumptions, it ...
Simulating in vivo-like Synaptic Input Patterns in Multicompartmental
... want to better understand how the morphological and biophysical properties of neurons contribute to their computational capabilities, and to address this issue we perform many electrophysiological experiments using the acute brain slice preparation, where we can manipulate biophysical properties of ...
... want to better understand how the morphological and biophysical properties of neurons contribute to their computational capabilities, and to address this issue we perform many electrophysiological experiments using the acute brain slice preparation, where we can manipulate biophysical properties of ...
Emergence of Mirror Neurons in a Model of Gaze Following
... C. Formation of mirror neurons in the pre-motor area At the end of the learning process, the model neurons in layer 9 share many characteristics with classical mirror neurons. First, a unit in this layer will usually be active during the execution of a gaze shift to a certain location in space. This ...
... C. Formation of mirror neurons in the pre-motor area At the end of the learning process, the model neurons in layer 9 share many characteristics with classical mirror neurons. First, a unit in this layer will usually be active during the execution of a gaze shift to a certain location in space. This ...
CS 561a: Introduction to Artificial Intelligence
... • Agents have social ability, that is, they communicate with the user, the system, and other agents as required • Agents may also cooperate with other agents to carry out more complex tasks than they themselves can handle • Agents may migrate from one system to another to access remote resources or ...
... • Agents have social ability, that is, they communicate with the user, the system, and other agents as required • Agents may also cooperate with other agents to carry out more complex tasks than they themselves can handle • Agents may migrate from one system to another to access remote resources or ...
MEDICAL DIAGNOSIS BY INTERACTING NEURAL AGENTS
... Medical diagnosis serves the purpose to identify the disease a patient is suffering from and, then, to determine how it can be treated best. It is important to emphasize that often a number of diseases have (partially) overlapping sets of key symptoms. Thus, diagnosis is fundamentally the process of ...
... Medical diagnosis serves the purpose to identify the disease a patient is suffering from and, then, to determine how it can be treated best. It is important to emphasize that often a number of diseases have (partially) overlapping sets of key symptoms. Thus, diagnosis is fundamentally the process of ...
A Client-Server Interactive Tool for Integrated
... creating these agents. In particular, students are taught methods of internally representing information about the external world. They also learn methods for problem solving by searching through large spaces containing possible environment states, and for generating plans to achieve desired goals. ...
... creating these agents. In particular, students are taught methods of internally representing information about the external world. They also learn methods for problem solving by searching through large spaces containing possible environment states, and for generating plans to achieve desired goals. ...
The Emergence of Contentful Experience
... and central nervous system processing are accounted for by that answer. ...
... and central nervous system processing are accounted for by that answer. ...
Aalborg Universitet On local optima in learning bayesian networks
... increases the score in each step and stops only when there is no model in IB(M ) with higher score than the current best model M , always finds the model M (G). This holds because there is a finite number of different models, and increasing the score in each step prevents the algorithm from visiting ...
... increases the score in each step and stops only when there is no model in IB(M ) with higher score than the current best model M , always finds the model M (G). This holds because there is a finite number of different models, and increasing the score in each step prevents the algorithm from visiting ...
A Neural Mass Model to Simulate Different Rhythms in a Cortical
... other regions; (ii) fast inhibitory interneurons exhibit a negative self-loop; that is, they not only inhibit pyramidal neurons (as in previous model) but also inhibit themselves. This idea agrees with the observation that basket cells in the hippocampus and cortex are highly interconnected and a ch ...
... other regions; (ii) fast inhibitory interneurons exhibit a negative self-loop; that is, they not only inhibit pyramidal neurons (as in previous model) but also inhibit themselves. This idea agrees with the observation that basket cells in the hippocampus and cortex are highly interconnected and a ch ...
Autonomous Intelligent Agents in Cyber Offence
... Abstract: Applications of artificial intelligence in cyber warfare have been mainly postulated and studied in the context of defensive operations. This paper provides an introductory overview of the use of autonomous agents in offensive cyber warfare, drawing on available open literature. The study ...
... Abstract: Applications of artificial intelligence in cyber warfare have been mainly postulated and studied in the context of defensive operations. This paper provides an introductory overview of the use of autonomous agents in offensive cyber warfare, drawing on available open literature. The study ...
Reports of the AAAI 2010 Conference Workshops
... The objective of the AAAI Workshop on GoalDirected Autonomy (GDA) was to encourage discussion and novel contributions on intelligent agents that can self-select their goals. How should an autonomous agent behave competently when interacting in a complex environment (for example, partially observable ...
... The objective of the AAAI Workshop on GoalDirected Autonomy (GDA) was to encourage discussion and novel contributions on intelligent agents that can self-select their goals. How should an autonomous agent behave competently when interacting in a complex environment (for example, partially observable ...
Autonomous Intelligent Agents in Cyber Offence
... Abstract: Applications of artificial intelligence in cyber warfare have been mainly postulated and studied in the context of defensive operations. This paper provides an introductory overview of the use of autonomous agents in offensive cyber warfare, drawing on available open literature. The study ...
... Abstract: Applications of artificial intelligence in cyber warfare have been mainly postulated and studied in the context of defensive operations. This paper provides an introductory overview of the use of autonomous agents in offensive cyber warfare, drawing on available open literature. The study ...
Towards Model-Based Diagnosis of Coordination Failures
... [Kalech and Kaminka, 2004] presented a consistencybased diagnosis procedure for behavior-based agents, which utilized a model of behaviors that the agents should be in agreement on (i.e., concurrence coordination). However, their approach was specific only to agreements. ...
... [Kalech and Kaminka, 2004] presented a consistencybased diagnosis procedure for behavior-based agents, which utilized a model of behaviors that the agents should be in agreement on (i.e., concurrence coordination). However, their approach was specific only to agreements. ...
An Equal Excess Negotiation Algorithm for Coalition
... it gets progressively harder to choose tasks for allocation with increasing coalition size, since more agents have to endorse a particular coalition for it to be selected. For each agent/task distribution, we see that the smallest coalitions converge fast, while the larger ones either don’t converge ...
... it gets progressively harder to choose tasks for allocation with increasing coalition size, since more agents have to endorse a particular coalition for it to be selected. For each agent/task distribution, we see that the smallest coalitions converge fast, while the larger ones either don’t converge ...
PowerPoint - people.csail.mit.edu
... Across Dimensions • Densities don’t behave like probabilities (e.g., they can be greater than 1) • Heights of density peaks in spaces of different dimension are not comparable • Work-arounds: – Find most likely partition first, then most likely parameters given that partition – Find region in parame ...
... Across Dimensions • Densities don’t behave like probabilities (e.g., they can be greater than 1) • Heights of density peaks in spaces of different dimension are not comparable • Work-arounds: – Find most likely partition first, then most likely parameters given that partition – Find region in parame ...