From: AAAI Technical Report FS-0 -0 . Compilation copyright © 200
... From: AAAI Technical Report FS-02-04. Compilation copyright © 2002, AAAI (www.aaai.org). All rights reserved. ...
... From: AAAI Technical Report FS-02-04. Compilation copyright © 2002, AAAI (www.aaai.org). All rights reserved. ...
From: AAAI Technical Report S-9 -0 . Compilation copyright © 199
... cooperative intelligent agents to serve on a design team with a humandesigner. Togetherthey designed simple powderceramic components,using a conceptual design phase and a detailed design phase. Theagents were able to respondand assist in both the design phases, offering cost estimation, material sel ...
... cooperative intelligent agents to serve on a design team with a humandesigner. Togetherthey designed simple powderceramic components,using a conceptual design phase and a detailed design phase. Theagents were able to respondand assist in both the design phases, offering cost estimation, material sel ...
Multi-Agent Systems
... knowledge - John knows humans are mortal beliefs - John took his umbrella because he believed it was going to ...
... knowledge - John knows humans are mortal beliefs - John took his umbrella because he believed it was going to ...
Agent and Environment - Computer Science and Engineering
... Rule to be applied next depends on resulting state ...
... Rule to be applied next depends on resulting state ...
Modeling the Spread of Infectious Diseases: A Review
... spread and assume homogeneity in disease transmission. While useful in estimating the size of the affected population, these models do not explicitly address the causal factors in the development of epidemics. The development of computer technology and increasing availability of diseaserelated spati ...
... spread and assume homogeneity in disease transmission. While useful in estimating the size of the affected population, these models do not explicitly address the causal factors in the development of epidemics. The development of computer technology and increasing availability of diseaserelated spati ...
Concepts of Object- and Agent-Oriented Simulation
... entities of the model's domain as agents. They provide the environment and mechanisms to conduct controlled experimentation with software components developed in single or distributed Artificial Intelligence [7, 8], serve as a simulation environment for autonomous senso-motoric systems [9], or inten ...
... entities of the model's domain as agents. They provide the environment and mechanisms to conduct controlled experimentation with software components developed in single or distributed Artificial Intelligence [7, 8], serve as a simulation environment for autonomous senso-motoric systems [9], or inten ...
Hypothesis Testing for Complex Agents
... know how typical that subject is, and how robust their opinion is. It would be better to choose a larger sample of raters, and to check that their judgments are reliable. When ratings are discrete (good, bad) or ordinal (terrible, bad, ok, good, excellent) then Kappa [22] is a measure of between-rat ...
... know how typical that subject is, and how robust their opinion is. It would be better to choose a larger sample of raters, and to check that their judgments are reliable. When ratings are discrete (good, bad) or ordinal (terrible, bad, ok, good, excellent) then Kappa [22] is a measure of between-rat ...
Distribution of Strategies in a Spatial Multi-Agent Game
... We are interested in the transition region, 1 < ng < 4, thus we include those two strategies in our simulation and fixed ng to values of 2 or3. Agents playing sATFT are also added to the initial population, since they behave anti-cyclic, i.e. they defect when the opponent cooperated in the previous ...
... We are interested in the transition region, 1 < ng < 4, thus we include those two strategies in our simulation and fixed ng to values of 2 or3. Agents playing sATFT are also added to the initial population, since they behave anti-cyclic, i.e. they defect when the opponent cooperated in the previous ...
Intelligent Agents
... Some are more complex and require planning to achieve them. eg. Star Wars — to defeat the Empire — find a potential Jedi knight, ship him off to see Yoda, teach him to use the force, etc Planning is a fundamental problem of AI. Usually requires search through the available actions to find an appropr ...
... Some are more complex and require planning to achieve them. eg. Star Wars — to defeat the Empire — find a potential Jedi knight, ship him off to see Yoda, teach him to use the force, etc Planning is a fundamental problem of AI. Usually requires search through the available actions to find an appropr ...
Special issue: Computational intelligence models for image
... genetic algorithm is used to simultaneously optimize two parameters, i.e., the overall deviation and the connectivity measure, in image segmentation. The interactive evolutionary computation framework is then used to embed users’ subjective evaluation in the optimization process. The experimental re ...
... genetic algorithm is used to simultaneously optimize two parameters, i.e., the overall deviation and the connectivity measure, in image segmentation. The interactive evolutionary computation framework is then used to embed users’ subjective evaluation in the optimization process. The experimental re ...
A MULTI-AGENT SYSTEM WITH APPLICATION IN PROJECT
... behavior is influenced by perception and influences beliefs. Knowledge Base, as long term memory for all agents becomes a necessity to be added as long as project planning and scheduling process as repetitive activity for a project manager and therefore dependent to human experience and knowledge. F ...
... behavior is influenced by perception and influences beliefs. Knowledge Base, as long term memory for all agents becomes a necessity to be added as long as project planning and scheduling process as repetitive activity for a project manager and therefore dependent to human experience and knowledge. F ...
Extending Universal Intelligence Models with Formal Notion of
... string α on any two UTMs is not more than some multiplicative constant independent of α. Given enough data, likelihood will dominate over the difference in prior probabilities, so the choice of the UTM seems to be not too crucial. However, the amount of necessary additional data can be extremely lar ...
... string α on any two UTMs is not more than some multiplicative constant independent of α. Given enough data, likelihood will dominate over the difference in prior probabilities, so the choice of the UTM seems to be not too crucial. However, the amount of necessary additional data can be extremely lar ...
Introduction to Multi-Agent Systems
... alone entity and will not encounter other agents (be they artificial or human) in its environment. Personal agents, or information agents, which are not mainly supposed to collectively work to solve problems, will certainly have much to gain if interacting with other agents and soon, with the wide s ...
... alone entity and will not encounter other agents (be they artificial or human) in its environment. Personal agents, or information agents, which are not mainly supposed to collectively work to solve problems, will certainly have much to gain if interacting with other agents and soon, with the wide s ...
1 - Philsci
... However the metric of the actual space they consider is non-dynamical across the span of the system. The processes operative there are radically, qualitatively unlike those of the semiclassical Einstein equation. Instead the “metric” is really a feature of the tensorial mass distribution. So we have ...
... However the metric of the actual space they consider is non-dynamical across the span of the system. The processes operative there are radically, qualitatively unlike those of the semiclassical Einstein equation. Instead the “metric” is really a feature of the tensorial mass distribution. So we have ...
A Restricted Markov Tree Model for Inference and
... papers discuss efficient inference over mixtures of Mallows models (or classes which include them) via Gibbs sampling [12, 17]. An alternative, simple, preference model is the random utility model or RUM [14, 18]. In this model, the subjective utility (quality) assigned by a given agent or ranker to ...
... papers discuss efficient inference over mixtures of Mallows models (or classes which include them) via Gibbs sampling [12, 17]. An alternative, simple, preference model is the random utility model or RUM [14, 18]. In this model, the subjective utility (quality) assigned by a given agent or ranker to ...
Agent-Based Software Engineering
... of the type discussed above. One of the most successful solutions to this problem involves viewing agents as intentional systems [10], whose behaviour can be predicted and explained in terms of attitudes such as belief, desire, and intention [47]. The rationale for this approach is that in everyday ...
... of the type discussed above. One of the most successful solutions to this problem involves viewing agents as intentional systems [10], whose behaviour can be predicted and explained in terms of attitudes such as belief, desire, and intention [47]. The rationale for this approach is that in everyday ...
Modeling Student Learning: Binary or Continuous Skill?
... knowledge. It is a hidden Markov model where skill is a binary latent variable (either learned or unlearned). Figure 1 illustrates the model; the illustration is done in a nonstandard way to stress the relation of the model to the model with continuous skill. The estimated skill is updated using a B ...
... knowledge. It is a hidden Markov model where skill is a binary latent variable (either learned or unlearned). Figure 1 illustrates the model; the illustration is done in a nonstandard way to stress the relation of the model to the model with continuous skill. The estimated skill is updated using a B ...
astic Strategy act ead
... contractees’ costs of doing the task, the payments offered by other contractors, and so on. Moreover, a higher payment is’more likely to result in a successful contract but less profit. We have developed a four-step stochastic contracting strategy (Park, Durfee & Birmingham 1996). The agent models t ...
... contractees’ costs of doing the task, the payments offered by other contractors, and so on. Moreover, a higher payment is’more likely to result in a successful contract but less profit. We have developed a four-step stochastic contracting strategy (Park, Durfee & Birmingham 1996). The agent models t ...
Mehran University of Engineering and Technology, Jamshoro
... An Agent perceives and acts in an environment, has an architecture, and is implemented by an agent program. An Ideal agent always chooses the action which maximizes its expected performance, given its percept sequence so far. An Autonomous agent uses its own experience rather than built-in kno ...
... An Agent perceives and acts in an environment, has an architecture, and is implemented by an agent program. An Ideal agent always chooses the action which maximizes its expected performance, given its percept sequence so far. An Autonomous agent uses its own experience rather than built-in kno ...
Problem Formulation as the Reduction of a Decision
... involve the direct synthesis of problem-specific models rather than the reduction of comprehensive models. Researchers have made the assumption (typically implicit) that computer-based reasoning systems must be limited to the construction of relatively simple models for action at run time. A heurist ...
... involve the direct synthesis of problem-specific models rather than the reduction of comprehensive models. Researchers have made the assumption (typically implicit) that computer-based reasoning systems must be limited to the construction of relatively simple models for action at run time. A heurist ...
www.cse.sc.edu
... frame problem, they deal with atomicity, and they lead to efficient search. Furthermore, the justification networks they create can be used for nonmonotonic reasoning, problem-solving explanations to a user, explanation-based learning, and multiagent negotiation. However, the above definitions of pr ...
... frame problem, they deal with atomicity, and they lead to efficient search. Furthermore, the justification networks they create can be used for nonmonotonic reasoning, problem-solving explanations to a user, explanation-based learning, and multiagent negotiation. However, the above definitions of pr ...
• What are intelligent agents? • What are the features of an intelligent
... an agent must be capable of reacting appropriately to influences or information from its environment. – autonomy: an agent must have both control over its actions and internal states. The degree of the agent’s autonomy can be specified. There may need intervention from the user only for important de ...
... an agent must be capable of reacting appropriately to influences or information from its environment. – autonomy: an agent must have both control over its actions and internal states. The degree of the agent’s autonomy can be specified. There may need intervention from the user only for important de ...
Minimal model of strategy switching in the plus
... if the starting position is South, permitting the dissociation between the two strategies. Experimental studies in the plus maze have shown that rats with inactivated HPC were strongly biased towards response strategies, while they were biased towards place strategies when DLS was inactivated [4, 5] ...
... if the starting position is South, permitting the dissociation between the two strategies. Experimental studies in the plus maze have shown that rats with inactivated HPC were strongly biased towards response strategies, while they were biased towards place strategies when DLS was inactivated [4, 5] ...
Agents - Hiram College
... • Information gathering - actions that modify future percepts • Learning - modifying the program based on actions and perceived results • Autonomy - agent’s behavior depends on its own percepts, rather than designer’s programming (a priori knowledge) ...
... • Information gathering - actions that modify future percepts • Learning - modifying the program based on actions and perceived results • Autonomy - agent’s behavior depends on its own percepts, rather than designer’s programming (a priori knowledge) ...