presentation
... Spatial cognition Social cognition Problem solving Reasoning Abstract thinking Language ...
... Spatial cognition Social cognition Problem solving Reasoning Abstract thinking Language ...
Page 1 of 14 Retrieval in Case-Based Reasoning: An
... (inserting, deleting, and substituting nodes and edges in the graph). To improve the practical efficiency of the approach, they introduce a subgraph matching algorithm that works on a compactification of the case memory in which subgraphs which are common to multiple cases may be stored only once. I ...
... (inserting, deleting, and substituting nodes and edges in the graph). To improve the practical efficiency of the approach, they introduce a subgraph matching algorithm that works on a compactification of the case memory in which subgraphs which are common to multiple cases may be stored only once. I ...
Real-Time Search for Autonomous Agents and
... Theorem 5 In a finite problem space with positi¨ e edge costs, in which there exists a path from e¨ ery state to the goal state, and starting with non-negati¨ e admissible initial heuristic ¨ alues, through o¨ er repeated problem sol¨ ing trials of -search, a path from the initial state s to the go ...
... Theorem 5 In a finite problem space with positi¨ e edge costs, in which there exists a path from e¨ ery state to the goal state, and starting with non-negati¨ e admissible initial heuristic ¨ alues, through o¨ er repeated problem sol¨ ing trials of -search, a path from the initial state s to the go ...
Associative Algorithms for Computational Creativity
... but only do so through the idea generator. The domain knowledge database represents information collected on the culinary field, including information on styles, tastes, constituents, combinations, evolution, regionality, culture, and methods of preparation. It also includes a repository of existing ...
... but only do so through the idea generator. The domain knowledge database represents information collected on the culinary field, including information on styles, tastes, constituents, combinations, evolution, regionality, culture, and methods of preparation. It also includes a repository of existing ...
The knowledge level - Research Showcase @ CMU
... substantial fraction of the field received coverage in the SO odd returns, since many of them represented entire projects. Although the questionnaire left much to be desired in terms of the precision of its questions, the Special Issue still provides an extremely interesting glimpse of how Al sees t ...
... substantial fraction of the field received coverage in the SO odd returns, since many of them represented entire projects. Although the questionnaire left much to be desired in terms of the precision of its questions, the Special Issue still provides an extremely interesting glimpse of how Al sees t ...
Knowledge Acquisition and Learning by Experience
... approach. An example is the lack of robustness and flexibility in problem solving due to the narrow and tailored scope of the knowledge. Another example is the difficulties in maintaining and updating a system's knowledge over time, to cope with the normal development of the subject field and change ...
... approach. An example is the lack of robustness and flexibility in problem solving due to the narrow and tailored scope of the knowledge. Another example is the difficulties in maintaining and updating a system's knowledge over time, to cope with the normal development of the subject field and change ...
doc - John L. Pollock
... drawn from the inference scheme. We may also discover circumstances under which the inference scheme is totally unreliable, in which case its use conveys no justification to the conclusion. In those circumstances, we should make no inference, or if we have already made an inference, we should withdr ...
... drawn from the inference scheme. We may also discover circumstances under which the inference scheme is totally unreliable, in which case its use conveys no justification to the conclusion. In those circumstances, we should make no inference, or if we have already made an inference, we should withdr ...
AI Chapter 3: Intelligent Agents - Foundations of Artificial Intelligence
... If the environment does not change, but the agent’s performance score changes, the environment is called semi-dynamic. ...
... If the environment does not change, but the agent’s performance score changes, the environment is called semi-dynamic. ...
The Knowledge Level
... themselves highlight this throughout the issue, for it came as a major surprise to them. Many (but of course not all!) respondents themselves felt the same way. As one said, "Standard practice in the representation of knowledge is the scandal of AI". What is so overwhelming about the diversity is th ...
... themselves highlight this throughout the issue, for it came as a major surprise to them. Many (but of course not all!) respondents themselves felt the same way. As one said, "Standard practice in the representation of knowledge is the scandal of AI". What is so overwhelming about the diversity is th ...
The knowledge level - Research Showcase @ CMU
... worse than many others. An intelligent agent is embedded in a task environment, a task statement enters via a perceptual component and is encoded in an initial representation. Whence starts a cycle of activity in which a recognition occurs (as indicated by the eyes) of a method to use to attempt the ...
... worse than many others. An intelligent agent is embedded in a task environment, a task statement enters via a perceptual component and is encoded in an initial representation. Whence starts a cycle of activity in which a recognition occurs (as indicated by the eyes) of a method to use to attempt the ...
An Expert System Framework for Infertility in Women using Web
... infertility. The system architecture of the IES comprises the major components of an expert system. The components consist of user interface, inference engine, explanation mechanism, working memory, and diagnostic knowledge base. The knowledge acquisition that were coming from the expert in the fiel ...
... infertility. The system architecture of the IES comprises the major components of an expert system. The components consist of user interface, inference engine, explanation mechanism, working memory, and diagnostic knowledge base. The knowledge acquisition that were coming from the expert in the fiel ...
Abstract - NYU Computer Science
... Trenton occurred during the Revolutionary War, that the Battle of Gettysburg occurred during the Civil War and that the Revolutionary War was over before the Civil War started, then one can infer that the Battle of Trenton occurred before the Battle of Gettysburg. The inferences involved here in alm ...
... Trenton occurred during the Revolutionary War, that the Battle of Gettysburg occurred during the Civil War and that the Revolutionary War was over before the Civil War started, then one can infer that the Battle of Trenton occurred before the Battle of Gettysburg. The inferences involved here in alm ...
Software Agents - UMBC Agent Web
... Nwana (1996) splits agent research into two main strands: the first beginning about 1977, and the second around 1990. Strand 1, whose roots are mainly in distributed artificial intelligence (DAI), “has concentrated mainly on deliberativetype agents with symbolic internal models.” Such work has contr ...
... Nwana (1996) splits agent research into two main strands: the first beginning about 1977, and the second around 1990. Strand 1, whose roots are mainly in distributed artificial intelligence (DAI), “has concentrated mainly on deliberativetype agents with symbolic internal models.” Such work has contr ...
Co-ordination in software agent systems
... o-ordination is a central issue in software agent systems in particular, and in distributed artificial intelligence (DAI) in general. However, it has also been studied by researchers in diverse disciplines in the social sciences, including organisation theory, political science, social psychology, a ...
... o-ordination is a central issue in software agent systems in particular, and in distributed artificial intelligence (DAI) in general. However, it has also been studied by researchers in diverse disciplines in the social sciences, including organisation theory, political science, social psychology, a ...
AI#Kindergarten:.A.method.for.developing.biological#like.artificial
... This!brainRsize!advantage!of!T3Ragents!over!T2Ragents!is!closely!related!to!another!one:! The!learning!time,!i.e.,!the!time!needed!to!acquire!the!necessary!knowledge.!As!any! lower!level!of!organization!stores!knowledge!in!a!more!generalized!form!that!the!higher! one,!it!also!stores!it!in!a!more!con ...
... This!brainRsize!advantage!of!T3Ragents!over!T2Ragents!is!closely!related!to!another!one:! The!learning!time,!i.e.,!the!time!needed!to!acquire!the!necessary!knowledge.!As!any! lower!level!of!organization!stores!knowledge!in!a!more!generalized!form!that!the!higher! one,!it!also!stores!it!in!a!more!con ...
Improving Efficiency in Mobile Robot Task Planning through World
... abstract solution, inserting details that were ignored in the more abstract domain. This is repeated until the solution is reached. We have found that previous hierarchical planners exploit any of the following three kinds of abstractions [52]: precondition-elimination abstraction, effect abstractio ...
... abstract solution, inserting details that were ignored in the more abstract domain. This is repeated until the solution is reached. We have found that previous hierarchical planners exploit any of the following three kinds of abstractions [52]: precondition-elimination abstraction, effect abstractio ...
The Simulation of Action Strategies of Different Personalities
... understand German culture. And special thanks to my parents who gave me great support during this work. ...
... understand German culture. And special thanks to my parents who gave me great support during this work. ...
FeUdal Networks for Hierarchical Reinforcement
... environments with sparse reward signals, such as the infamous Montezuma’s Revenge ATARI game. It is symptomatic that the standard approach on the ATARI benchmark suite (Bellemare et al., 2012) is to use an actionrepeat heuristic, where each action translates into several (usually 4) consecutive acti ...
... environments with sparse reward signals, such as the infamous Montezuma’s Revenge ATARI game. It is symptomatic that the standard approach on the ATARI benchmark suite (Bellemare et al., 2012) is to use an actionrepeat heuristic, where each action translates into several (usually 4) consecutive acti ...
Expert Systems - Myreaders.info
... solving the problems; here the system is intended to solve; ‡ Knowledge engineer : The individual who encodes the expert's ...
... solving the problems; here the system is intended to solve; ‡ Knowledge engineer : The individual who encodes the expert's ...
Contract Types for Satisficing Task Allocation: Results
... rational (IR) contracts. Then, classic contracts of one task at a time are studied. After that, three new contract types--cluster contracts, swaps, and multiagent contracts--are introduced and analyzed. Finally, combinations of these contracts types are discussed. ...
... rational (IR) contracts. Then, classic contracts of one task at a time are studied. After that, three new contract types--cluster contracts, swaps, and multiagent contracts--are introduced and analyzed. Finally, combinations of these contracts types are discussed. ...
Lifelong Multi-Agent Path Finding for Online Pickup
... Past research efforts have concentrated mostly on a “one-shot” version of this problem, called the multi-agent path-finding (MAPF) problem, which has been studied in artificial intelligence, robotics, and operations research. In the MAPF problem, each agent has to move from its current location to i ...
... Past research efforts have concentrated mostly on a “one-shot” version of this problem, called the multi-agent path-finding (MAPF) problem, which has been studied in artificial intelligence, robotics, and operations research. In the MAPF problem, each agent has to move from its current location to i ...
A Review of Case-Based Reasoning in Cognition
... that similar problems are likely to have similar solutions, which can be used to solve new similar problems. Two key indicators of CBR are context-sensitive representations coupling a concrete problem situation with a corresponding solution, and similarity-based search for reusable cases. Besides a ...
... that similar problems are likely to have similar solutions, which can be used to solve new similar problems. Two key indicators of CBR are context-sensitive representations coupling a concrete problem situation with a corresponding solution, and similarity-based search for reusable cases. Besides a ...
Chapter 6 - Expert Systems and knowledge
... ES does not represent its knowledge in algorithmic-like procedures. AI is based on symbolic processing of knowledge. Knowledge is represented by symbols such as letters, words or numbers that represent objects, processes and their relationships. ...
... ES does not represent its knowledge in algorithmic-like procedures. AI is based on symbolic processing of knowledge. Knowledge is represented by symbols such as letters, words or numbers that represent objects, processes and their relationships. ...
Gearing up for Effective ASP Planning
... offers an attractive alternative to the encoding of planning problems via imperative programming languages, which is common and actually unavoidable in SAT. So far, however, ASP Planning is no real match for SAT Planning. For one thing, ASP modeling techniques for dynamic domains focus on knowledge ...
... offers an attractive alternative to the encoding of planning problems via imperative programming languages, which is common and actually unavoidable in SAT. So far, however, ASP Planning is no real match for SAT Planning. For one thing, ASP modeling techniques for dynamic domains focus on knowledge ...
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.