session02
... • PAGE (Percepts, Actions, Goals, Environment) • Task-specific & specialized: well-defined goals and environment • The notion of an agent is meant to be a tool for analyzing systems, • It is not a different hardware or new programming languages ...
... • PAGE (Percepts, Actions, Goals, Environment) • Task-specific & specialized: well-defined goals and environment • The notion of an agent is meant to be a tool for analyzing systems, • It is not a different hardware or new programming languages ...
Intelligent Agents
... If an agent is pushing a tile to fill a hole and the hole disappears before being filled, the agent should realize its original goal is no longer in effect and ‘rethink’ its objective by searching for a new hole to fill. If an agent is pushing a tile to fill a hole that’s four grid cells in the ...
... If an agent is pushing a tile to fill a hole and the hole disappears before being filled, the agent should realize its original goal is no longer in effect and ‘rethink’ its objective by searching for a new hole to fill. If an agent is pushing a tile to fill a hole that’s four grid cells in the ...
Multi-Agent Systems in Practice When Research Meets - DAI
... effects. These have to be handled if the plan fails during execution. Information services are services, which provide information, without having any other effect. The effect (the abstract knowledge of an agent) of such a service cannot be described in PDDL [19]. During the planning process, the ef ...
... effects. These have to be handled if the plan fails during execution. Information services are services, which provide information, without having any other effect. The effect (the abstract knowledge of an agent) of such a service cannot be described in PDDL [19]. During the planning process, the ef ...
Reasoning With Characteristic Models.
... theories, and the tremendous computation problems in reasoning with them. An example of the reaction against the traditional approach is the growing body of research and applications using case-based reasoning (CBR) [Kolodner, 1991]. By identifying the notion of a “case” with that of a “model”, we c ...
... theories, and the tremendous computation problems in reasoning with them. An example of the reaction against the traditional approach is the growing body of research and applications using case-based reasoning (CBR) [Kolodner, 1991]. By identifying the notion of a “case” with that of a “model”, we c ...
as a PDF
... a seminal effect insofar as it substantially contributed to setting off a whole avalanche of related work in the Artificial Life community. The basic tenet of the Animat/Artificial Life approach is to thoroughly explore the space of opportunities offered by the most simple designs by virtue of their ...
... a seminal effect insofar as it substantially contributed to setting off a whole avalanche of related work in the Artificial Life community. The basic tenet of the Animat/Artificial Life approach is to thoroughly explore the space of opportunities offered by the most simple designs by virtue of their ...
Coordinating Busy Agents Using a Hybrid Clustering
... The concept of self-synchronization has been used by the US Department of Defense to describe the ability to reconfigure tasks, plans and units to meet new goals in a dynamic environment (Alberts and Hayes 2003). Selfsynchronization is a capability in an overarching concept called Network-Centric Wa ...
... The concept of self-synchronization has been used by the US Department of Defense to describe the ability to reconfigure tasks, plans and units to meet new goals in a dynamic environment (Alberts and Hayes 2003). Selfsynchronization is a capability in an overarching concept called Network-Centric Wa ...
FraMoTEC: A Framework for Modular Task-Environment
... (e.g. robots). These systems will need to account for resource expenditure, as they will be expected to solve tasks in a limited amount of time without exceeding some energy allowance. In this thesis we will address the construction of environments in which artificially intelligent systems can be ev ...
... (e.g. robots). These systems will need to account for resource expenditure, as they will be expected to solve tasks in a limited amount of time without exceeding some energy allowance. In this thesis we will address the construction of environments in which artificially intelligent systems can be ev ...
Proceedings of the Seventh Int’l Conf. on Artificial Intelligence and Expert... San Francisco, November, 1995.
... simulation, depends on the haulage and/or destination of the flight. This is one of the parameters generated by the rule-based expert system. Usually, check-in processing will stop a certain number of minutes before the departure of a flight. The OOSM uses the next-event time technique to advance th ...
... simulation, depends on the haulage and/or destination of the flight. This is one of the parameters generated by the rule-based expert system. Usually, check-in processing will stop a certain number of minutes before the departure of a flight. The OOSM uses the next-event time technique to advance th ...
Decision Support System
... • Involves finding and tracking information • Usually work in the background, so you can still use your computer for other tasks • Future intelligent agents will most likely be ...
... • Involves finding and tracking information • Usually work in the background, so you can still use your computer for other tasks • Future intelligent agents will most likely be ...
Simulation - McGraw Hill Higher Education
... Building a simulation model can take a great deal of time Simulation may be less accurate than mathematical analysis because it is randomly based A significant amount of computer time may be needed to run complex models The technique of simulation still lacks a ...
... Building a simulation model can take a great deal of time Simulation may be less accurate than mathematical analysis because it is randomly based A significant amount of computer time may be needed to run complex models The technique of simulation still lacks a ...
Verifying time, memory and communication bounds in systems of
... present a framework for reasoning about tradeoffs between time, memory and communication in systems of distributed reasoning agents. We assume that the agents reason using resolution. However this is not essential for the results in the paper, and we briefly sketch how reasoners using other inferenc ...
... present a framework for reasoning about tradeoffs between time, memory and communication in systems of distributed reasoning agents. We assume that the agents reason using resolution. However this is not essential for the results in the paper, and we briefly sketch how reasoners using other inferenc ...
Multi-Agent Case-Based Diagnosis in the Aircraft Domain
... approach are [16]. Of course, what makes our approach different here is that we are concerned with the development of concrete framework with existing applications. Corchado et al.[5] present in their work an architecture for integrating multi-agent systems, distributed services, and application for ...
... approach are [16]. Of course, what makes our approach different here is that we are concerned with the development of concrete framework with existing applications. Corchado et al.[5] present in their work an architecture for integrating multi-agent systems, distributed services, and application for ...
Do software agents know what they talk about?
... AI has concentrated on learning, planning, understanding…, an agent integrates these parts to arrive at decisions. Most of the agents (99%) use conventional programming and do not incorporate any AI at all. The social aspect has not been investigated in AI at all. It is an essential constituent of a ...
... AI has concentrated on learning, planning, understanding…, an agent integrates these parts to arrive at decisions. Most of the agents (99%) use conventional programming and do not incorporate any AI at all. The social aspect has not been investigated in AI at all. It is an essential constituent of a ...
Agent - klncecse
... Search (Russell Chapters 3-5) and Planning (Chapters 11-13) are concerned with finding sequences of actions to satisfy a goal. Reflexive agent concerned with one action at a time. Classical Planning: finding a sequence of actions that achieves a goal. Contrast with condition-action rules: in ...
... Search (Russell Chapters 3-5) and Planning (Chapters 11-13) are concerned with finding sequences of actions to satisfy a goal. Reflexive agent concerned with one action at a time. Classical Planning: finding a sequence of actions that achieves a goal. Contrast with condition-action rules: in ...
Kognitive Modellierung - Cognitive Modeling
... • Motivation of this course on “Cognitive Modeling”: • Find answers to questions like: • How do humans process information / plan / learn? • Can computers or robots think / learn? • Can we design better man-machine interfaces if we know about these things? Example: If we know how human memory work ...
... • Motivation of this course on “Cognitive Modeling”: • Find answers to questions like: • How do humans process information / plan / learn? • Can computers or robots think / learn? • Can we design better man-machine interfaces if we know about these things? Example: If we know how human memory work ...
CV - Chris Gatti
... Laboratory for Optimization and Computation in Orthopaedic Surgery University of Michigan, Ann Arbor, MI, USA Research Computer Specialist ...
... Laboratory for Optimization and Computation in Orthopaedic Surgery University of Michigan, Ann Arbor, MI, USA Research Computer Specialist ...
IJEBM-JeffChang - Intelligent Agents Lab
... In this paper, a novel design and analysis of the dynamic game of the Hybrid Multi-Agent Robotic System (HMARS) is proposed for dealing with the formation problem of multiple robots with leaders and followers. Each autonomous agent is a wheeled mobile robot (WMR) with switching behaviors including t ...
... In this paper, a novel design and analysis of the dynamic game of the Hybrid Multi-Agent Robotic System (HMARS) is proposed for dealing with the formation problem of multiple robots with leaders and followers. Each autonomous agent is a wheeled mobile robot (WMR) with switching behaviors including t ...
Poster - Dr. Tom Froese
... Mavelli & Ruiz-Mirazo 2007) and actual chemistry (e.g. Bitbol & Luisi 2004). The problem here is how to get from systems that selfconstitute to systems that self-constitute and do something interesting at the same time. ...
... Mavelli & Ruiz-Mirazo 2007) and actual chemistry (e.g. Bitbol & Luisi 2004). The problem here is how to get from systems that selfconstitute to systems that self-constitute and do something interesting at the same time. ...
Lecture I -- Introduction and Intelligent Agent
... Deterministic (vs. stochastic): The next state of the environment is completely determined by the current state and the action executed by the agent. (If the environment is deterministic except for the actions of other agents, then the environment is strategic) ...
... Deterministic (vs. stochastic): The next state of the environment is completely determined by the current state and the action executed by the agent. (If the environment is deterministic except for the actions of other agents, then the environment is strategic) ...
Lecture I -- Introduction and Intelligent Agent
... Deterministic (vs. stochastic): The next state of the environment is completely determined by the current state and the action executed by the agent. (If the environment is deterministic except for the actions of other agents, then the environment is strategic) ...
... Deterministic (vs. stochastic): The next state of the environment is completely determined by the current state and the action executed by the agent. (If the environment is deterministic except for the actions of other agents, then the environment is strategic) ...
Combining Rule Induction and Reinforcement Learning
... 100 times. That was sufficient to show that results in mean values in travel times are significantly different, as checked using the two-tailed t-test (null hypothesis is C=D) with the obtained p-values indicating statistical significance. Table 1 includes means and standard deviations of driving ti ...
... 100 times. That was sufficient to show that results in mean values in travel times are significantly different, as checked using the two-tailed t-test (null hypothesis is C=D) with the obtained p-values indicating statistical significance. Table 1 includes means and standard deviations of driving ti ...
Motivations behind modeling emotional agents: Whose
... emotional agent. I will try to show that there are other motives, and that there are also different principal approaches to model emotions. I will briefly sketch some theory on emotion from a psychological point of view to illustrate our current assumptions about the nature of emotions, and about th ...
... emotional agent. I will try to show that there are other motives, and that there are also different principal approaches to model emotions. I will briefly sketch some theory on emotion from a psychological point of view to illustrate our current assumptions about the nature of emotions, and about th ...
pdf
... Given the fast successes claimed by early AI in demonstrating advanced problem solving capabilities, sometimes beyond human level (e.g. playing chess), these difficulties came as a surprise. Particularly so, as some of the subproblems researchers hoped to address – such as vision or natural language ...
... Given the fast successes claimed by early AI in demonstrating advanced problem solving capabilities, sometimes beyond human level (e.g. playing chess), these difficulties came as a surprise. Particularly so, as some of the subproblems researchers hoped to address – such as vision or natural language ...
