events:knowledge-workshop-iros2011:tikanmaki.pdf (340.2 KB)
... reating a software for the robot is a demanding task. How to connect all the parts, how to express past, present and future in a way that a robot can truly operate in the environment? How to define the task for the robot? How the information learnt could be used on another robot? And most of all, ho ...
... reating a software for the robot is a demanding task. How to connect all the parts, how to express past, present and future in a way that a robot can truly operate in the environment? How to define the task for the robot? How the information learnt could be used on another robot? And most of all, ho ...
Incremental Heuristic Search in Artificial Intelligence
... (Frigioni et al. 1998). If arbitrary sequences of edge insertions, deletions, or weight changes are allowed, then the dynamic shortest path problems are called fully dynamic shortest path problems (Frigioni et al. 2000). The idea of incremental search has also been pursued in artificial intelligence ...
... (Frigioni et al. 1998). If arbitrary sequences of edge insertions, deletions, or weight changes are allowed, then the dynamic shortest path problems are called fully dynamic shortest path problems (Frigioni et al. 2000). The idea of incremental search has also been pursued in artificial intelligence ...
Managing the Digital Firm
... Software program that uses built-in or learned knowledge base to carry out specific, repetitive, and predictable tasks for an individual user, business process, or software application ...
... Software program that uses built-in or learned knowledge base to carry out specific, repetitive, and predictable tasks for an individual user, business process, or software application ...
Human-Guided Tabu Search - Computer Science
... the search. All four applications provide a color-coded visualization of the users’ current mobility settings. This same mechanism can be used to display GTABU’s mobilities. We provide several different visualization modes that allow the user to step through the search one iteration at a time or to ...
... the search. All four applications provide a color-coded visualization of the users’ current mobility settings. This same mechanism can be used to display GTABU’s mobilities. We provide several different visualization modes that allow the user to step through the search one iteration at a time or to ...
Expert system - Assignment Point
... Every expert system has a major flaw, which explains its low success despite the principles that it is based upon having existed for 70 years: knowledge collection and its interpretation into rules, or knowledge engineering. Most developers have no automated method to perform this task; instead they ...
... Every expert system has a major flaw, which explains its low success despite the principles that it is based upon having existed for 70 years: knowledge collection and its interpretation into rules, or knowledge engineering. Most developers have no automated method to perform this task; instead they ...
05_Artificial_Intelligence-SearchMethods
... Q1: the heuristic maybe the air distance between cities Q2: the heuristic maybe the air distance between cities x average speed (e.g. 90km/h) ...
... Q1: the heuristic maybe the air distance between cities Q2: the heuristic maybe the air distance between cities x average speed (e.g. 90km/h) ...
The Application of Expert Systems in the Clinical Laboratory
... is used when the patient’s data are entered without guidance by the computer. Those rules whose premises match the data are then applied, and new rules that use the conclusions in their premise conditions are subsequently applied, etc. Instead of using one of the two strategies, it is also possible ...
... is used when the patient’s data are entered without guidance by the computer. Those rules whose premises match the data are then applied, and new rules that use the conclusions in their premise conditions are subsequently applied, etc. Instead of using one of the two strategies, it is also possible ...
Problem Solving and Search
... 1. Problem Solving and Search Seen that an intelligent agent has: • knowledge of the state of the “world” • a notion of how actions or operations change the world • some goals, or states of the world, it would like to bring about Finding a sequence of operations that changes the state of the world ...
... 1. Problem Solving and Search Seen that an intelligent agent has: • knowledge of the state of the “world” • a notion of how actions or operations change the world • some goals, or states of the world, it would like to bring about Finding a sequence of operations that changes the state of the world ...
Dilemma First Search for Effortless Optimization of NP-hard
... respectively use the best candidate or set of candidates so far to build new candidate solutions. It is also sensible to substitute the greedy solution with the second best choice when backtracking, as in Limited Discrepancy Search (LDS). However, LDS is sub-optimal as it performs back-tracking but ...
... respectively use the best candidate or set of candidates so far to build new candidate solutions. It is also sensible to substitute the greedy solution with the second best choice when backtracking, as in Limited Discrepancy Search (LDS). However, LDS is sub-optimal as it performs back-tracking but ...
Modified from
... Understand the basic concepts and definitions of artificial intelligence (AI) Become familiar with the AI field and its evolution Understand and appreciate the importance of knowledge in decision support Become accounted with the concepts and evolution of rule-based expert systems (ES) Understand th ...
... Understand the basic concepts and definitions of artificial intelligence (AI) Become familiar with the AI field and its evolution Understand and appreciate the importance of knowledge in decision support Become accounted with the concepts and evolution of rule-based expert systems (ES) Understand th ...
Incremental Heuristic Search in AI
... (Deo and Pang 1984). Since then, additional incremental search algorithms have been suggested in the algorithms literature (Ausiello et al. 1991; Even and Gazit 1985; Even and Shiloach 1981; Feuerstein and Marchetti-Spaccamela 1993; Franciosa, Frigioni, and Giaccio 2001; Frigioni, Marchetti-Spaccame ...
... (Deo and Pang 1984). Since then, additional incremental search algorithms have been suggested in the algorithms literature (Ausiello et al. 1991; Even and Gazit 1985; Even and Shiloach 1981; Feuerstein and Marchetti-Spaccamela 1993; Franciosa, Frigioni, and Giaccio 2001; Frigioni, Marchetti-Spaccame ...
1997-Efficient Management of Very Large Ontologies
... relations and the instances defined thereon. This second group may consist of a relatively small ontological part and a much larger example base, or as a dense combination of relations and instances(Stoffe1 et ~11. 1997). Currently, there is a significant amount of research being done in the area of ...
... relations and the instances defined thereon. This second group may consist of a relatively small ontological part and a much larger example base, or as a dense combination of relations and instances(Stoffe1 et ~11. 1997). Currently, there is a significant amount of research being done in the area of ...
Information Systems Ethics Policy
... but not limited to, faculty and staff. The Policies also apply to all individuals, whether authorized or not, who use the College’s Information Systems from any location. Use of the College’s Information Systems, even when carried out on a privately owned computer that is not managed or maintained b ...
... but not limited to, faculty and staff. The Policies also apply to all individuals, whether authorized or not, who use the College’s Information Systems from any location. Use of the College’s Information Systems, even when carried out on a privately owned computer that is not managed or maintained b ...
A Topic-driven Summarization using K-mean
... system automatically generates a summary of a given document and helps people to make effective decisions in less time. In this paper two methods have been proposed for query-focused multi-document summarization that uses k-mean clustering, term-frequency and inversesentence- frequency method for se ...
... system automatically generates a summary of a given document and helps people to make effective decisions in less time. In this paper two methods have been proposed for query-focused multi-document summarization that uses k-mean clustering, term-frequency and inversesentence- frequency method for se ...
information-7217Rev[1]
... without any pretense of completeness of the account. Even if fragmentary, this review may serve as a contribution to the effort of understanding the present state of the art and the paths of development. We will find many novel ideas and suggested answers to the problems arisen in the course of the ...
... without any pretense of completeness of the account. Even if fragmentary, this review may serve as a contribution to the effort of understanding the present state of the art and the paths of development. We will find many novel ideas and suggested answers to the problems arisen in the course of the ...
an implementation of expert system for
... defines the method of reasoning used by ES. There are two main approaches of speculation used by expert system with production rules, which are forward (deductive) and backward (inductive) chaining. Depending on the project of the expert system, the inference engine performs either forward or backwa ...
... defines the method of reasoning used by ES. There are two main approaches of speculation used by expert system with production rules, which are forward (deductive) and backward (inductive) chaining. Depending on the project of the expert system, the inference engine performs either forward or backwa ...
State-Space Search
... Uniform-Cost Search A more general version of breadth-first search. Processes states in order of increasing path cost from the start state. The list OPEN is maintained as a priority queue. Associated with each state is its current best estimate of its distance from the start state. As a state si fr ...
... Uniform-Cost Search A more general version of breadth-first search. Processes states in order of increasing path cost from the start state. The list OPEN is maintained as a priority queue. Associated with each state is its current best estimate of its distance from the start state. As a state si fr ...
MSS-An Overview
... decisions made. For example, more alternatives can be evaluated, risk analysis can be performed quickly,views of experts (some of whom are in remote locations) may be collected quickly and at a lower cost. Such expertise may be derived directly by a computer system. Using computers, decisions makers ...
... decisions made. For example, more alternatives can be evaluated, risk analysis can be performed quickly,views of experts (some of whom are in remote locations) may be collected quickly and at a lower cost. Such expertise may be derived directly by a computer system. Using computers, decisions makers ...
Advancing Multi-Context Systems by Inconsistency Management
... establishing information exchange in MCS. Defeasible rules are similar to bridge rules, but their semantics differs as a defeasible rule does not fire if it would cause an inconsistency by doing so. Several algorithms based on preference orders (or argumentation frameworks [4]) have been proposed. I ...
... establishing information exchange in MCS. Defeasible rules are similar to bridge rules, but their semantics differs as a defeasible rule does not fire if it would cause an inconsistency by doing so. Several algorithms based on preference orders (or argumentation frameworks [4]) have been proposed. I ...
Metareasoning for Concurrent Planning and Execution
... action, Ms. A* interprets fˆ as the expected value of a belief distribution regarding the location of the true f ∗ cost of the action and interprets the admissible f value as the truncated left edge of that distribution. (This is reminiscent of work on Bayesian reinforcement learning (Dearden, Fried ...
... action, Ms. A* interprets fˆ as the expected value of a belief distribution regarding the location of the true f ∗ cost of the action and interprets the admissible f value as the truncated left edge of that distribution. (This is reminiscent of work on Bayesian reinforcement learning (Dearden, Fried ...
Chapter 12
... Many logistics managers do not believe that reports communicate effectively. Communication occurs only if the message keys into the receiver’s values and responds directly to the needs of the recipient. Types of reports Planning reports Operating reports Control reports ...
... Many logistics managers do not believe that reports communicate effectively. Communication occurs only if the message keys into the receiver’s values and responds directly to the needs of the recipient. Types of reports Planning reports Operating reports Control reports ...
11 CONNECTION Event Toronto
... Used worldwide by consulting engineering firms, government transportation organizations, contractors, and project consortia, RM Bridge sets the standard for both routine and signature bridge design and delivery. RM Bridge software can be used for accurately modeling bridges, and represents a powerf ...
... Used worldwide by consulting engineering firms, government transportation organizations, contractors, and project consortia, RM Bridge sets the standard for both routine and signature bridge design and delivery. RM Bridge software can be used for accurately modeling bridges, and represents a powerf ...
Metareasoning in Real-time Heuristic Search
... after searching, our estimate of β’s expected cost has fallen below α’s, and if so, by how much. Note that we choose actions based on their fˆ values, so what we need to know is where α and β’s fˆ values are likely to be after we have performed more search. As in any metareasoning approach, we will ...
... after searching, our estimate of β’s expected cost has fallen below α’s, and if so, by how much. Note that we choose actions based on their fˆ values, so what we need to know is where α and β’s fˆ values are likely to be after we have performed more search. As in any metareasoning approach, we will ...
mwr-paper.pdf
... A central field within the research of artificial intelligence (AI) is the development of knowledge representation formalisms. Knowledge representations are needed when computer systems must work with information which is not conveniently accessible or usable in its “natural” form (e.g., geographica ...
... A central field within the research of artificial intelligence (AI) is the development of knowledge representation formalisms. Knowledge representations are needed when computer systems must work with information which is not conveniently accessible or usable in its “natural” form (e.g., geographica ...
Investigating the similarity between collaboration systems and
... As a research area, such as digital ecosystem and collaboration systems, matures and starts to receive attention, it becomes important to summarize and provide overview to the increasing amount of studies and results produced by the scientific community. Many research fields have their own methodolo ...
... As a research area, such as digital ecosystem and collaboration systems, matures and starts to receive attention, it becomes important to summarize and provide overview to the increasing amount of studies and results produced by the scientific community. Many research fields have their own methodolo ...