Compositional Design of a Generic Design Agent
... The integration of the two models is discussed in Section 4. Although both the Generic Agent Model GAM and the Generic Design Model GDM have been tested in different application domains, the architecture for a generic design agent described in this paper as yet has only been tested in the applicatio ...
... The integration of the two models is discussed in Section 4. Although both the Generic Agent Model GAM and the Generic Design Model GDM have been tested in different application domains, the architecture for a generic design agent described in this paper as yet has only been tested in the applicatio ...
The Simulation of Action Strategies of Different Personalities
... Joachim Stempfle and Viola Hämmer, for integrating me tightly into the teamwork and for their contribution to this work. I would like to express my special thanks to Pia Deininger, Ute Rek and Holger Harms for their friendly support. I also appreciate the efforts of Roman Seidl and Bettina Riegel fo ...
... Joachim Stempfle and Viola Hämmer, for integrating me tightly into the teamwork and for their contribution to this work. I would like to express my special thanks to Pia Deininger, Ute Rek and Holger Harms for their friendly support. I also appreciate the efforts of Roman Seidl and Bettina Riegel fo ...
artificial intelligence - MET Engineering College
... world champion in a chess match when it bested Garry Kasparov by a score of 3.5 to 2.5 in an exhibition match (Goodman and Keene, 1997). Autonomous control: The ALVINN computer vision system was trained to steer a car to keep it following a lane. It was placed in CMU's NAVLAB computer-controlled min ...
... world champion in a chess match when it bested Garry Kasparov by a score of 3.5 to 2.5 in an exhibition match (Goodman and Keene, 1997). Autonomous control: The ALVINN computer vision system was trained to steer a car to keep it following a lane. It was placed in CMU's NAVLAB computer-controlled min ...
DCP 1172: Introduction to Artificial Intelligence
... • Assignments are due in class, at the beginning of class, on the assigned due date. • That is unless you’ve made some arrangement with me ahead of time. ...
... • Assignments are due in class, at the beginning of class, on the assigned due date. • That is unless you’ve made some arrangement with me ahead of time. ...
University of Michigan Jerusalem, Israel durfee/
... to Q, and determines likely to take either action, P should take action b (for an expected payoff of 1.5) rather than action a (which has an expected payoff of 1). Q, when it runs RMM, will go through the same reasoning to decide that it should take action d. Thus, each agent will have decided on a ...
... to Q, and determines likely to take either action, P should take action b (for an expected payoff of 1.5) rather than action a (which has an expected payoff of 1). Q, when it runs RMM, will go through the same reasoning to decide that it should take action d. Thus, each agent will have decided on a ...
Eliciting Single-Peaked Preferences Using Comparison Queries
... of the agents are unrestricted and there are at least three alternatives, Condorcet cycles may occur. A Condorcet cycle is a sequence of alternatives a1 , a2 , . . . , ak such that for each 1 ≤ i < k, more agents prefer ai to ai+1 than vice versa, and more agents prefer ak to a1 than vice versa. In ...
... of the agents are unrestricted and there are at least three alternatives, Condorcet cycles may occur. A Condorcet cycle is a sequence of alternatives a1 , a2 , . . . , ak such that for each 1 ≤ i < k, more agents prefer ai to ai+1 than vice versa, and more agents prefer ak to a1 than vice versa. In ...
Considerations on Belief Revision in an Action Theory
... the resulting series of actions and belief revisions. That is, one would expect that a Markovian process, in which the agent’s next belief state depends solely on its previous state together with the relevant action, would be sufficient. However, as we describe in the next section, this naı̈ve appro ...
... the resulting series of actions and belief revisions. That is, one would expect that a Markovian process, in which the agent’s next belief state depends solely on its previous state together with the relevant action, would be sufficient. However, as we describe in the next section, this naı̈ve appro ...
Meaning in Artificial Agents: The Symbol Grounding Problem
... regarded as reactions, responses to stimuli. Most of the observed behaviour is considered a consequence of an innate stimulus-response mechanism that is available to the individual (Witkowski 2002). Known as the information processing metaphor or computationalism, this framework thinks of the percep ...
... regarded as reactions, responses to stimuli. Most of the observed behaviour is considered a consequence of an innate stimulus-response mechanism that is available to the individual (Witkowski 2002). Known as the information processing metaphor or computationalism, this framework thinks of the percep ...
FeUdal Networks for Hierarchical Reinforcement
... reinforcement learning (FRL) introduced by Dayan & Hinton (1993), where levels of hierarchy within an agent communicate via explicit goals. Some key insights from FRL are that goals can be generated in a top-down fashion, and that goal setting can be decoupled from goal achievement; a level in the h ...
... reinforcement learning (FRL) introduced by Dayan & Hinton (1993), where levels of hierarchy within an agent communicate via explicit goals. Some key insights from FRL are that goals can be generated in a top-down fashion, and that goal setting can be decoupled from goal achievement; a level in the h ...
A Mixed-Initiative Approach to Rule Refinement for Knowledge
... refinement will not be omitted, offering to the expert an interactive framework that guides him through this process of rule refinement. Another feature of the Analyze Sub-Tree wizard consists in keeping the current state of refinement in which the expert is working. For instance, the expert may ins ...
... refinement will not be omitted, offering to the expert an interactive framework that guides him through this process of rule refinement. Another feature of the Analyze Sub-Tree wizard consists in keeping the current state of refinement in which the expert is working. For instance, the expert may ins ...
To Developed Tool, an Intelligent Agent for AutomaticKnowledge
... knowledge that the system contains, therefore the representation and access to knowledge are play main role in the development and use of an expert system [17]. Knowledge acquisition is the process of acquiring knowledge either directly from a human experts or from some other resources, and its form ...
... knowledge that the system contains, therefore the representation and access to knowledge are play main role in the development and use of an expert system [17]. Knowledge acquisition is the process of acquiring knowledge either directly from a human experts or from some other resources, and its form ...
6 Learning in Multiagent Systems
... an extended view of ML that captures not only single-agent learning but also multiagent learning can lead to an improved understanding of the general principles underlying learning in both computational and natural systems. The first reason is grounded in the insight that multiagent systems typicall ...
... an extended view of ML that captures not only single-agent learning but also multiagent learning can lead to an improved understanding of the general principles underlying learning in both computational and natural systems. The first reason is grounded in the insight that multiagent systems typicall ...
6 Learning in Multiagent Systems
... an extended view of ML that captures not only single-agent learning but also multiagent learning can lead to an improved understanding of the general principles underlying learning in both computational and natural systems. The first reason is grounded in the insight that multiagent systems typicall ...
... an extended view of ML that captures not only single-agent learning but also multiagent learning can lead to an improved understanding of the general principles underlying learning in both computational and natural systems. The first reason is grounded in the insight that multiagent systems typicall ...
Research Article An Emotional Agent Model Based on Granular
... reactions. However, it presents a good starting point for building computer simulations of emotion. The basic emotions that are simulated in the model are anger, fear, sadness, happiness, disgust, and surprise. Ushida et al. 3 proposes an emotional model for life-like agents with emotions and moti ...
... reactions. However, it presents a good starting point for building computer simulations of emotion. The basic emotions that are simulated in the model are anger, fear, sadness, happiness, disgust, and surprise. Ushida et al. 3 proposes an emotional model for life-like agents with emotions and moti ...
Gerenciamento Autônomo de Redes na Internet do
... network controlling mechanisms. Deploying such autonomous and rational entities in the network can improve its behavior in the presence of very dynamic and complex control scenarios. Unfortunately, building agent-based mechanisms for networks is not an easy task. The main difficulty is to create con ...
... network controlling mechanisms. Deploying such autonomous and rational entities in the network can improve its behavior in the presence of very dynamic and complex control scenarios. Unfortunately, building agent-based mechanisms for networks is not an easy task. The main difficulty is to create con ...
Transforming Customer Engagement with Intent-driven Chat
... touchpoint is built with extensive human-centric studies and data-driven design inputs, to maximize chat effectiveness. This ensures that customers get a consistent, engaging and effective experience across channels and devices that reflects your brand. Active Cards: [24]7 Chat extends the chat experi ...
... touchpoint is built with extensive human-centric studies and data-driven design inputs, to maximize chat effectiveness. This ensures that customers get a consistent, engaging and effective experience across channels and devices that reflects your brand. Active Cards: [24]7 Chat extends the chat experi ...
Affordances for robots: a brief survey
... is treated as an exception that is usually hand led by explicit re-planning. With the uncertainty and unpredictability inherent in the real world, these aspects can limit the versatility of physical robots. These challenges have been addressed by researchers through refinements such as modeling unce ...
... is treated as an exception that is usually hand led by explicit re-planning. With the uncertainty and unpredictability inherent in the real world, these aspects can limit the versatility of physical robots. These challenges have been addressed by researchers through refinements such as modeling unce ...
Pardis, a Fuzzy Extension to Multi agent Simulation Systems
... even a single number. He would not think that the ball is “30 meters away from him, 73 degrees to the northeast, moving at 50 Km/h”, and then compute exactly what action he should do, but he might think that the ball is “relatively close to him, coming with a slight angle from his right side, moving ...
... even a single number. He would not think that the ball is “30 meters away from him, 73 degrees to the northeast, moving at 50 Km/h”, and then compute exactly what action he should do, but he might think that the ball is “relatively close to him, coming with a slight angle from his right side, moving ...
Hermes: Implementing Goal-Oriented Agent Interactions
... is shared between the different types of plans within a given agent (refer to Figure 4). One important use of the beliefs is to represent the state of the interaction goals. This is done with a combination of three Boolean beliefs for each interaction goal: in, finished, and success. The in belief i ...
... is shared between the different types of plans within a given agent (refer to Figure 4). One important use of the beliefs is to represent the state of the interaction goals. This is done with a combination of three Boolean beliefs for each interaction goal: in, finished, and success. The in belief i ...
Improving Adjustable Autonomy Strategies for Time
... believes that the decision will result in substantial decrease in average reward for the team. The agent may determine this by factoring in its detailed local information when predicting the results of implementing the human decision. (vi) Human decision consistent (Hdc) - The human has made a decis ...
... believes that the decision will result in substantial decrease in average reward for the team. The agent may determine this by factoring in its detailed local information when predicting the results of implementing the human decision. (vi) Human decision consistent (Hdc) - The human has made a decis ...
affordance - Aleksandra Derra
... As with much of the work in ecological psychology, the majority of these systems focus on visual perception, through either physical or simulated cameras. A few systems employ additional forms of input, however. For example, Atil et al. (2010), Griffith (2012a, 2012b), Murphy (1999), Şahin et al. ( ...
... As with much of the work in ecological psychology, the majority of these systems focus on visual perception, through either physical or simulated cameras. A few systems employ additional forms of input, however. For example, Atil et al. (2010), Griffith (2012a, 2012b), Murphy (1999), Şahin et al. ( ...
A New Hybrid PSOGSA Algorithm for Function Optimization
... Where ܸ ሺݐሻ is the velocity of agent i at iteration t, ܿᇱ is a weighting factor, w is a weighting function, rand is a random number between 0 and 1, ܽܿ ሺݐሻ is the acceleration of agent i at iteration t, and gbest is the best solution so far. In each iteration, the positions of particles are u ...
... Where ܸ ሺݐሻ is the velocity of agent i at iteration t, ܿᇱ is a weighting factor, w is a weighting function, rand is a random number between 0 and 1, ܽܿ ሺݐሻ is the acceleration of agent i at iteration t, and gbest is the best solution so far. In each iteration, the positions of particles are u ...
artificial intelligence - ABIT Group of Institutions
... world champion in a chess match when it bested Garry Kasparov by a score of 3.5 to 2.5 in an exhibition match (Goodman and Keene, 1997). Autonomous control: The ALVINN computer vision system was trained to steer a car to keep it following a lane. It was placed in CMU's NAVLAB computer-controlled min ...
... world champion in a chess match when it bested Garry Kasparov by a score of 3.5 to 2.5 in an exhibition match (Goodman and Keene, 1997). Autonomous control: The ALVINN computer vision system was trained to steer a car to keep it following a lane. It was placed in CMU's NAVLAB computer-controlled min ...
Intellectual development statement
... My research focuses on issues in the intersection of computer science (especially artificial intelligence and multiagent systems) and economics (especially microeconomic theory, game theory, social choice, and mechanism design). Each of these two disciplines can contribute significantly to the other ...
... My research focuses on issues in the intersection of computer science (especially artificial intelligence and multiagent systems) and economics (especially microeconomic theory, game theory, social choice, and mechanism design). Each of these two disciplines can contribute significantly to the other ...