CS 561a: Introduction to Artificial Intelligence
... • One is biological, based on the idea that since humans are intelligent, AI should study humans and imitate their psychology or physiology. • The other is phenomenal, based on studying and formalizing common sense facts about the world and the problems that the world presents to the achievement of ...
... • One is biological, based on the idea that since humans are intelligent, AI should study humans and imitate their psychology or physiology. • The other is phenomenal, based on studying and formalizing common sense facts about the world and the problems that the world presents to the achievement of ...
CS 561a: Introduction to Artificial Intelligence
... • How large: size of table = #possible percepts times # possible actions = |Pl | |Pm| |Pr| |S| |B| E.g., P = {close, medium, far}3 A = {left, straight, right} {on, off} then size of table = 27*3*2 = 162 • How to select action? Search. ...
... • How large: size of table = #possible percepts times # possible actions = |Pl | |Pm| |Pr| |S| |B| E.g., P = {close, medium, far}3 A = {left, straight, right} {on, off} then size of table = 27*3*2 = 162 • How to select action? Search. ...
Chapter 2
... programming staffs that the best way is to purchase an available software package for use on the help desk. Halverson, Erickson, and Ackerman (2004) examine the concept used at a large corporation which employed the concept of using the Question and Answer (Q&A) paradigm where they store the questio ...
... programming staffs that the best way is to purchase an available software package for use on the help desk. Halverson, Erickson, and Ackerman (2004) examine the concept used at a large corporation which employed the concept of using the Question and Answer (Q&A) paradigm where they store the questio ...
Exploring coordination properties within populations of distributed agents Elizabeth Sklar
... closely coupled. Kalra, Stentz, & Ferguson (2004) demonstrate signal broadcasting as the “passive coordination” approach taken in PC-MVERT, a system that was designed for experimentation with “tight”, “planned” and “computationally feasible” coordination; when agents communicate their current plan t ...
... closely coupled. Kalra, Stentz, & Ferguson (2004) demonstrate signal broadcasting as the “passive coordination” approach taken in PC-MVERT, a system that was designed for experimentation with “tight”, “planned” and “computationally feasible” coordination; when agents communicate their current plan t ...
V. Case Study: The “Call for Papers” Agent
... common features such as patterns of page linkage, terminology and page style. For our architecture, a set of these pages is a class (e.g., call for papers, researchers, etc), and the existence of these classes outlines a Web division by contents. The data typically found in a class is considered as ...
... common features such as patterns of page linkage, terminology and page style. For our architecture, a set of these pages is a class (e.g., call for papers, researchers, etc), and the existence of these classes outlines a Web division by contents. The data typically found in a class is considered as ...
AAAI Proceedings Template
... require significant knowledge engineering to model the environment, goals, and control knowledge. While models are necessarily incomplete with respect to the phenomena in question, environments most suitable for goal reasoning are dynamic, unbounded and open with respect to the introduction of new o ...
... require significant knowledge engineering to model the environment, goals, and control knowledge. While models are necessarily incomplete with respect to the phenomena in question, environments most suitable for goal reasoning are dynamic, unbounded and open with respect to the introduction of new o ...
Agent Architecture: An Overview
... can happen directly or indirectly. Direct communication is achieved through channel such as message passing whilst indirect communication is achieved through affecting the environment and sense by other agents (Genesereth & Ketchpel, 1994; Maes, 1997). Normally, agents that have common goal in a mul ...
... can happen directly or indirectly. Direct communication is achieved through channel such as message passing whilst indirect communication is achieved through affecting the environment and sense by other agents (Genesereth & Ketchpel, 1994; Maes, 1997). Normally, agents that have common goal in a mul ...
session02_deron
... • Act by stimulus-response to the current state of the environment. • Each reactive agent is simple and interacts with others in a basic way. • Complex patterns of behavior emerge from their interaction. • Benefits: robustness, fast response time • Challenges: scalability, how intelligent? and how d ...
... • Act by stimulus-response to the current state of the environment. • Each reactive agent is simple and interacts with others in a basic way. • Complex patterns of behavior emerge from their interaction. • Benefits: robustness, fast response time • Challenges: scalability, how intelligent? and how d ...
On-line Error Analysis Using AI techniques A first sight
... reasoning in the field. It is the knowledge that underlies the "art of good guessing." Knowledge representation formalizes and organizes the knowledge. One widely used representation is the production rule, or simply rule. A rule consists of an IF part and a THEN part (also called a condition and an ...
... reasoning in the field. It is the knowledge that underlies the "art of good guessing." Knowledge representation formalizes and organizes the knowledge. One widely used representation is the production rule, or simply rule. A rule consists of an IF part and a THEN part (also called a condition and an ...
Artificial Intelligence Intelligent Autonomous Agents 1
... based on what it can perceive and the actions it can perform. The right action is the one that will cause the agent to be most successful Performance measure: An objective criterion for success of an agent's behavior E.g., performance measure of a vacuumcleaner agent could be amount of dirt cl ...
... based on what it can perceive and the actions it can perform. The right action is the one that will cause the agent to be most successful Performance measure: An objective criterion for success of an agent's behavior E.g., performance measure of a vacuumcleaner agent could be amount of dirt cl ...
PDF
... organized to accomplish a specific task. While reactive approaches have proved to be valid for many low-level tasks, we think that the kind of intelligent behavior we expect from a service robot, like a kitchen assistant, cannot be the result of purely reactive processes. We want the robot to prompt ...
... organized to accomplish a specific task. While reactive approaches have proved to be valid for many low-level tasks, we think that the kind of intelligent behavior we expect from a service robot, like a kitchen assistant, cannot be the result of purely reactive processes. We want the robot to prompt ...
Artificial Intelligence and Expert Systems
... The computer is programmed so that it can make inferences Performed by the Inference ...
... The computer is programmed so that it can make inferences Performed by the Inference ...
Artificial Intelligence and Expert Systems
... The computer is programmed so that it can make inferences Performed by the Inference ...
... The computer is programmed so that it can make inferences Performed by the Inference ...
PDF File - School of Computer Science and Statistics
... agent based research to become somewhat fragmented. For this reason, it is worth identifying the application areas which are of most relevance to work on designing agents for interactive entertainment purposes. Two such areas have been identified agents involved in robotics and agents which are desi ...
... agent based research to become somewhat fragmented. For this reason, it is worth identifying the application areas which are of most relevance to work on designing agents for interactive entertainment purposes. Two such areas have been identified agents involved in robotics and agents which are desi ...
A Comparative Utility Analysis of Case
... Given a particular evaluation metric, the utility of a learned item can be defined as the change in expectation values of a problem solver's performance on the metric across a problem set (MARKOVITCH & SCOTT 1993). In other words, when we compute the utility of a change to the system's knowledge bas ...
... Given a particular evaluation metric, the utility of a learned item can be defined as the change in expectation values of a problem solver's performance on the metric across a problem set (MARKOVITCH & SCOTT 1993). In other words, when we compute the utility of a change to the system's knowledge bas ...
Combining Rule Induction and Reinforcement Learning
... vehicles. The agents need to make decisions about which routes to select to arrive at the destination in the shortest time. Agents predict or are provided with information about traffic, time, and road network, based on which their routes can be planned. Agents travel within a simple road network re ...
... vehicles. The agents need to make decisions about which routes to select to arrive at the destination in the shortest time. Agents predict or are provided with information about traffic, time, and road network, based on which their routes can be planned. Agents travel within a simple road network re ...
Selecting Integrated Approach for Knowledge Representation by
... metarules.They pertain to other rules (or even to themselves). Inference (procedural) rules may look like this: Rule 1: IF the data needed are not in the system, THEN request them from the user. Rule 2: IF more than one rule applies, and THEN deactivate any rules that add no new data. III. SELECTION ...
... metarules.They pertain to other rules (or even to themselves). Inference (procedural) rules may look like this: Rule 1: IF the data needed are not in the system, THEN request them from the user. Rule 2: IF more than one rule applies, and THEN deactivate any rules that add no new data. III. SELECTION ...
Sborník vědeckých prací Vysoké školy báňské
... designed symbol system can provide a full causal account of intelligence, regardless of its medium of implementation; and • the empirical view of computer programs as experiments. As an empirical science, AI takes a constructive approach: we attempt to understand intelligence by building a working m ...
... designed symbol system can provide a full causal account of intelligence, regardless of its medium of implementation; and • the empirical view of computer programs as experiments. As an empirical science, AI takes a constructive approach: we attempt to understand intelligence by building a working m ...
Planning with Partially Specified Behaviors
... to show that reinforcement learning and planning complement each other well, in that each can take advantage of the strengths of the other. PPSB uses partial action specifications to decompose sequential decision problems into tasks that serve as an interface between reinforcement learning and plann ...
... to show that reinforcement learning and planning complement each other well, in that each can take advantage of the strengths of the other. PPSB uses partial action specifications to decompose sequential decision problems into tasks that serve as an interface between reinforcement learning and plann ...
Controlled Language for Knowledge Representation
... senses) and syntactic form, with a view to minimising ambiguity and maximising clarity. Frequently, computational tools are employed to encourage writers to stay within this variety of English. These tools may carry out partial or even complete parsing, and some vocabulary checking. By ‘Computer Pr ...
... senses) and syntactic form, with a view to minimising ambiguity and maximising clarity. Frequently, computational tools are employed to encourage writers to stay within this variety of English. These tools may carry out partial or even complete parsing, and some vocabulary checking. By ‘Computer Pr ...
Dynamically Adaptive Tutoring Systems: Bottom-Up or Top
... better if instructional decisions were based on what is in learner minds. The basic assumption is that learner minds can be represented as sets of productions (condition action pairs, analogous to S-R associations) and learning mechanisms controlling their use. Assumptions had to be made about both ...
... better if instructional decisions were based on what is in learner minds. The basic assumption is that learner minds can be represented as sets of productions (condition action pairs, analogous to S-R associations) and learning mechanisms controlling their use. Assumptions had to be made about both ...
Components of KBS
... The possibility to justify the decisions taken during the resolution process gives credibility to the system It allows also to detect wrong assumptions or decisions during the process A system should be able to answer why and how Different levels of explanation: Trace: A list of the steps of the res ...
... The possibility to justify the decisions taken during the resolution process gives credibility to the system It allows also to detect wrong assumptions or decisions during the process A system should be able to answer why and how Different levels of explanation: Trace: A list of the steps of the res ...
A Cognitive Architecture for a Humanoid Robot: A First Approach
... cognition had a different priority. Perception of the robotic system was named first, then learning, motor control, reasoning, problem solving, goal orientation, knowledge representation and communication followed. Self-consciousness, motivation and emotions of a robotic system being functions of co ...
... cognition had a different priority. Perception of the robotic system was named first, then learning, motor control, reasoning, problem solving, goal orientation, knowledge representation and communication followed. Self-consciousness, motivation and emotions of a robotic system being functions of co ...
14 Lecture CSC462 Notes
... The user must not only be confident in the expert system performance but also feel comfortable using it. Therefore, the design of the user interface of the expert system is also vital for the project’s success; the end-user’s contribution here can be crucial. ...
... The user must not only be confident in the expert system performance but also feel comfortable using it. Therefore, the design of the user interface of the expert system is also vital for the project’s success; the end-user’s contribution here can be crucial. ...
Soar (cognitive architecture)
Soar is a cognitive architecture, created by John Laird, Allen Newell, and Paul Rosenbloom at Carnegie Mellon University, now maintained by John Laird's research group at the University of Michigan. It is both a view of what cognition is and an implementation of that view through a computer programming architecture for artificial intelligence (AI). Since its beginnings in 1983 and its presentation in a paper in 1987, it has been widely used by AI researchers to model different aspects of human behavior.