Learning Objectives
... The following are the major tasks that can be performed by IAs. 5. Search & retrieval. Users will have to delegate the tasks of searching and of cost comparison to agents. 6. Domain experts. “Expert” software agents could be models of real-world agents, such as translators, lawyers, diplomats, union ...
... The following are the major tasks that can be performed by IAs. 5. Search & retrieval. Users will have to delegate the tasks of searching and of cost comparison to agents. 6. Domain experts. “Expert” software agents could be models of real-world agents, such as translators, lawyers, diplomats, union ...
GSMDPs for Multi-Robot Sequential Decision-Making
... agents is assumed. Consequently, such models can quickly become intractable (Roth, Simmons, and Veloso 2007). For teams of multiple robots, it is typically safe to assume that communication is possible and relatively inexpensive. However, models which assume free communication (Multiagent MDPs, (Bou ...
... agents is assumed. Consequently, such models can quickly become intractable (Roth, Simmons, and Veloso 2007). For teams of multiple robots, it is typically safe to assume that communication is possible and relatively inexpensive. However, models which assume free communication (Multiagent MDPs, (Bou ...
Levels of analysis in neural modeling
... Computational modeling is about imputing a computational task and interpreting the collective behavior of the neural components of the system in terms of this task. In these cases, the tasks involve generating the appropriate output, such as the choice of the better flower or the sequence of actions ...
... Computational modeling is about imputing a computational task and interpreting the collective behavior of the neural components of the system in terms of this task. In these cases, the tasks involve generating the appropriate output, such as the choice of the better flower or the sequence of actions ...
UniAGENT: Reduced Time-Expansion Graphs and Goal Pavel Surynek
... 2005) is a graph theoretical abstraction for many real life problems where the task is to relocate cooperatively a group of agents or other movable objects in a collision free manner. Each agent of the group is given its initial and goal position. The problem consists in constructing a spatial tempo ...
... 2005) is a graph theoretical abstraction for many real life problems where the task is to relocate cooperatively a group of agents or other movable objects in a collision free manner. Each agent of the group is given its initial and goal position. The problem consists in constructing a spatial tempo ...
The Micro-Macro Link in DAI and Sociology
... social simulation, as well as a deeper understanding of human societies. Furthermore, modelling the macro aspect in agent theories is considered to be essential for DAI research, as this concept substantially contributes to the distinction between artificial intelligence and distributed artificial i ...
... social simulation, as well as a deeper understanding of human societies. Furthermore, modelling the macro aspect in agent theories is considered to be essential for DAI research, as this concept substantially contributes to the distinction between artificial intelligence and distributed artificial i ...
medical knowledge modeling
... problems of medical validation and insertion into current practice, etc ? On a theoretical level, one can notably wonder what types of relations can be established between connectionism and first order logic, or further: is it possible to offer a theoretical frame common to both AI and C ? In any ca ...
... problems of medical validation and insertion into current practice, etc ? On a theoretical level, one can notably wonder what types of relations can be established between connectionism and first order logic, or further: is it possible to offer a theoretical frame common to both AI and C ? In any ca ...
Model Checking of Hybrid Systems via Satisfiability Modulo Theories
... 3, 24, 36, 34, 35, 48], temporal reasoning under uncertainty [33, 32]. Cimatti has published 26 journal papers and 98 conference papers, and has an H-index of 37 (details are available at http://scholar.google.it/ citations?user=lbZ6n5IAAAAJ). He has been a member of the program committees of the ma ...
... 3, 24, 36, 34, 35, 48], temporal reasoning under uncertainty [33, 32]. Cimatti has published 26 journal papers and 98 conference papers, and has an H-index of 37 (details are available at http://scholar.google.it/ citations?user=lbZ6n5IAAAAJ). He has been a member of the program committees of the ma ...
Economic reasoning and artificial intelligence The Harvard
... some form of equilibrium, as in standard economic thinking. That AIs (or AI-human combinations) are reasonably modeled as approximately rational is the premise of a growing body of AI research applying economic equilibrium models to scenarios involving multiple agents (18). The approach has achieved ...
... some form of equilibrium, as in standard economic thinking. That AIs (or AI-human combinations) are reasonably modeled as approximately rational is the premise of a growing body of AI research applying economic equilibrium models to scenarios involving multiple agents (18). The approach has achieved ...
No Slide Title
... Step 5: Test the Validity of the Simulation Model The next step is to test whether the simulation model incorporated into the program is providing valid results for the system it is representing. Typically, the purpose of simulation is to investigate and compare various proposed system configuratio ...
... Step 5: Test the Validity of the Simulation Model The next step is to test whether the simulation model incorporated into the program is providing valid results for the system it is representing. Typically, the purpose of simulation is to investigate and compare various proposed system configuratio ...
Unit1_1 - คณะเทคโนโลยีสารสนเทศและการสื่อสาร มหาวิทยาลัยพะเยา
... – understand principles that make rational (intelligent) behavior possible, in natural or artificial systems. ...
... – understand principles that make rational (intelligent) behavior possible, in natural or artificial systems. ...
MEDICAL DIAGNOSIS BY INTERACTING NEURAL AGENTS
... opportunity to satisfy its goals. It especially may react pro-actively to changes in its environment; i.e., it responds to it without being explicitly asked for it from the outside. Social ability: An intelligent agent is capable of interacting with other agents (and possibly humans) in order to sat ...
... opportunity to satisfy its goals. It especially may react pro-actively to changes in its environment; i.e., it responds to it without being explicitly asked for it from the outside. Social ability: An intelligent agent is capable of interacting with other agents (and possibly humans) in order to sat ...
Automatic Scene Activity Modeling
... Motivation: A scene activity modeling system should be capable of modeling a new environment with minimal prior information or human intervention. Priors which depend on particular camera placements or particular types of trackable objects pigeon-hole an application to a certain type of task and mak ...
... Motivation: A scene activity modeling system should be capable of modeling a new environment with minimal prior information or human intervention. Priors which depend on particular camera placements or particular types of trackable objects pigeon-hole an application to a certain type of task and mak ...
Introduction to Multi-Agent Systems
... Comparing the definitions above, we may identify two main trends in defining agents and agencies. Some researchers consider that we may talk and define an agent in isolation, while some others view agents mainly as entities acting in a collectively of other agents, therefore the multi-agent system ( ...
... Comparing the definitions above, we may identify two main trends in defining agents and agencies. Some researchers consider that we may talk and define an agent in isolation, while some others view agents mainly as entities acting in a collectively of other agents, therefore the multi-agent system ( ...
MULTIPLE-AGENT PLANNING SYSTEMS Kurt Konolige Nils J. Nilsson
... of these agents, the others are dynamic entities that possess information about the world, have goals, make plans to achieve these goals, and execute these plans. Thus, each agent must represent not only the usual information about objects in the world and the preconditions and effects of its own ac ...
... of these agents, the others are dynamic entities that possess information about the world, have goals, make plans to achieve these goals, and execute these plans. Thus, each agent must represent not only the usual information about objects in the world and the preconditions and effects of its own ac ...
Societies of Agents - Foundations of Artificial Intelligence
... – e.g., assume an arrival management system for airports with a number of different airlines or the Internet ...
... – e.g., assume an arrival management system for airports with a number of different airlines or the Internet ...
Introdução - DAINF
... give it access to the complete state of the environment at each point in time. • 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 ...
... give it access to the complete state of the environment at each point in time. • 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 ...
Towards a Methodology for Agent-based Social Simulation
... shared goals (Florez-Mendez, 1999). MAS are already being seen by some as the next software engineering paradigm and a possible solution to the current problems of the practice of software development experienced by organisations (see Huhns, 2000; Wooldridge and Jennings, 1999; Jennings, 1999). This ...
... shared goals (Florez-Mendez, 1999). MAS are already being seen by some as the next software engineering paradigm and a possible solution to the current problems of the practice of software development experienced by organisations (see Huhns, 2000; Wooldridge and Jennings, 1999; Jennings, 1999). This ...
Survey and Evaluation of Agent Oriented Software Engineering
... discussion and evaluation. The selection procedure carried out on the most known publishing internet locations and digital libraries within the past ten years, taking percentage for publishing frequency for each, with error factor 1.5 %. This article is structured as follows. Section 2 discusses the ...
... discussion and evaluation. The selection procedure carried out on the most known publishing internet locations and digital libraries within the past ten years, taking percentage for publishing frequency for each, with error factor 1.5 %. This article is structured as follows. Section 2 discusses the ...
COMP219 Lec3 agents - Computer Science Intranet
... ◦ Reactivity: Intelligent agents are able to perceive their environment, and respond in a timely fashion to changes that occur in it in order to satisfy their design objectives ◦ Proactiveness: Intelligent agents are able to exhibit goal-directed behaviour by taking the initiative in order to satisf ...
... ◦ Reactivity: Intelligent agents are able to perceive their environment, and respond in a timely fashion to changes that occur in it in order to satisfy their design objectives ◦ Proactiveness: Intelligent agents are able to exhibit goal-directed behaviour by taking the initiative in order to satisf ...
Artificial Intelligence - Information Technology Services
... Expert systems are based on the know-how of experts in the field. This expertise is built into the system and thus does not require as much knowledge to use as a typical DSS (p. ...
... Expert systems are based on the know-how of experts in the field. This expertise is built into the system and thus does not require as much knowledge to use as a typical DSS (p. ...
Artificial Intelligence - Information Technology Services
... Expert systems are based on the know-how of experts in the field. This expertise is built into the system and thus does not require as much knowledge to use as a typical DSS (p. 191). ...
... Expert systems are based on the know-how of experts in the field. This expertise is built into the system and thus does not require as much knowledge to use as a typical DSS (p. 191). ...
Machine Learning - Dipartimento di Informatica
... machine learning. The course focuses on the critical analysis of the characteristics for the design and use of the algorithms for learning functions from examples and for the experimental modelization and evaluation. Introduction: Computational learning tasks, prediction, generalization. Basic conce ...
... machine learning. The course focuses on the critical analysis of the characteristics for the design and use of the algorithms for learning functions from examples and for the experimental modelization and evaluation. Introduction: Computational learning tasks, prediction, generalization. Basic conce ...
A Similarity Evaluation Technique for Cooperative Problem
... Department of Computer Science and Information Systems ...
... Department of Computer Science and Information Systems ...