Software Agents - UMBC Agent Web
... the idea of non-human agencies.1 Popular notions about androids, humanoids, robots, cyborgs, and science fiction creatures permeate our culture, forming the unconscious backdrop against which software agents are perceived. The word “robot,” derived from the Czech word for drudgery, became popular fo ...
... the idea of non-human agencies.1 Popular notions about androids, humanoids, robots, cyborgs, and science fiction creatures permeate our culture, forming the unconscious backdrop against which software agents are perceived. The word “robot,” derived from the Czech word for drudgery, became popular fo ...
Artificial Intelligence and Expert Systems
... Consistent and thorough Can be documented Can execute certain tasks much faster than a human Can perform certain tasks better than many or even most people ...
... Consistent and thorough Can be documented Can execute certain tasks much faster than a human Can perform certain tasks better than many or even most people ...
ppt
... Genetic Algorithms in Search … D. Goldberg (Addison-Wesley) From Animals to Animats (Series of conference proceedings for ...
... Genetic Algorithms in Search … D. Goldberg (Addison-Wesley) From Animals to Animats (Series of conference proceedings for ...
02a Enabling Technology for Knowledge Sharing
... another, a system builder would use one translator to map the knowledge base into the interchange format and another to map from the interchange format back out to the second language. The Knowledge Representation System Specification (KRSS) Working Group is taking another, complementary tack toward ...
... another, a system builder would use one translator to map the knowledge base into the interchange format and another to map from the interchange format back out to the second language. The Knowledge Representation System Specification (KRSS) Working Group is taking another, complementary tack toward ...
AI Robotics - Kutztown University
... Cognitive functions that enable people to deal effectively with spatial relations, visual spatial tasks and orientation of objects in space. One aspect of these cognitive skills is spatial orientation, which is the ability to orient oneself in space relative to objects and events; and the awaren ...
... Cognitive functions that enable people to deal effectively with spatial relations, visual spatial tasks and orientation of objects in space. One aspect of these cognitive skills is spatial orientation, which is the ability to orient oneself in space relative to objects and events; and the awaren ...
Agent Architecture: An Overview
... representing and modeling the environment and the agent behavior with symbolic representation. Thus, the agent behavior is based on the manipulation of the symbolic representation. Agent’s role in this classical architecture may also be considered as theorem provers (Shardlow, 1990). The syntactical ...
... representing and modeling the environment and the agent behavior with symbolic representation. Thus, the agent behavior is based on the manipulation of the symbolic representation. Agent’s role in this classical architecture may also be considered as theorem provers (Shardlow, 1990). The syntactical ...
approximate reasoning using anytime algorithms
... implementation. However, the use of anytime algorithms as the components of a modular system presents a special type of scheduling problem. The question is how much time to allocate to each component in order to maximize the output quality of the complete system. We refer to this problem as the anyt ...
... implementation. However, the use of anytime algorithms as the components of a modular system presents a special type of scheduling problem. The question is how much time to allocate to each component in order to maximize the output quality of the complete system. We refer to this problem as the anyt ...
Properties of maximal cliques of a pair-wise compatibility graph for three nonmonotonic reasoning system
... In each of the three reasoning systems (normal and extended logic programming, and default logic) the underlying concept is the choice of maximal sets of rules which have two properties: they are compatible and grounded. These sets have names specific to the reasoning system: stable models, answer s ...
... In each of the three reasoning systems (normal and extended logic programming, and default logic) the underlying concept is the choice of maximal sets of rules which have two properties: they are compatible and grounded. These sets have names specific to the reasoning system: stable models, answer s ...
Inductive Logic Programming: Challenges
... Davis, Katsumi Inoue, who are all chairs of the last five years of ILP conferences (2011–2015), and Taisuke Sato. The discussion at the last panel held at ILP 2010 has been summarized as the survey paper (Muggleton et al. 2012), in which several future perspectives at that time were shown. Since then ...
... Davis, Katsumi Inoue, who are all chairs of the last five years of ILP conferences (2011–2015), and Taisuke Sato. The discussion at the last panel held at ILP 2010 has been summarized as the survey paper (Muggleton et al. 2012), in which several future perspectives at that time were shown. Since then ...
Goal-Based Action Priors - Humans to Robots Laboratory
... (OO-MDPs) (Diuk, Cohen, and Littman 2008). An OOMDP efficiently represents the state of an MDP through the use of objects and predicates. An OO-MDP state is a collection of objects, O = {o1 , . . . , oo }. Each object oi belongs to a class, cj ∈ {c1 , . . . , cc }. Every class has a set of attribute ...
... (OO-MDPs) (Diuk, Cohen, and Littman 2008). An OOMDP efficiently represents the state of an MDP through the use of objects and predicates. An OO-MDP state is a collection of objects, O = {o1 , . . . , oo }. Each object oi belongs to a class, cj ∈ {c1 , . . . , cc }. Every class has a set of attribute ...
Building Knowledge Bases through Multistrategy Learning and
... other hand, there are many problems that are much more difficult for a human expert than for a learning system as, for instance, the generation of general concepts or rules that account for specific examples, and the updating of the KB to consistently integrate new knowledge. Over the last several y ...
... other hand, there are many problems that are much more difficult for a human expert than for a learning system as, for instance, the generation of general concepts or rules that account for specific examples, and the updating of the KB to consistently integrate new knowledge. Over the last several y ...
PPT 11
... In an organization, the best methods for solving problems. These are often stored in the knowledge repository of a knowledge management system • Knowledge repository is the actual storage location of knowledge in a knowledge management system. Similar in nature to a database, but generally ...
... In an organization, the best methods for solving problems. These are often stored in the knowledge repository of a knowledge management system • Knowledge repository is the actual storage location of knowledge in a knowledge management system. Similar in nature to a database, but generally ...
Intermediate Features Improve Incremental Analogical Mapping Mark Alan Finlayson Patrick Henry Winston
... elements may naturally be more informative and might be profitably used for certain sorts of cognitive tasks, such as object identification or precedent retrieval. We call these descriptive elements intermediate features because the evidence suggests that the most informative features are those of a ...
... elements may naturally be more informative and might be profitably used for certain sorts of cognitive tasks, such as object identification or precedent retrieval. We call these descriptive elements intermediate features because the evidence suggests that the most informative features are those of a ...
lecture 2 not ready - Villanova Department of Computing Sciences
... CSC 4510 - M.A. Papalaskari - Villanova University ...
... CSC 4510 - M.A. Papalaskari - Villanova University ...
Handwritten Gregg Shorthand Recognition
... Yet, some aspects of this amazing processor are known. In particular, the most basic element of the human brain is a specific type of cell which, unlike the rest of the body, doesn't appear to regenerate. Because this type of cell is the only part of the body that isn't slowly replaced, it is assume ...
... Yet, some aspects of this amazing processor are known. In particular, the most basic element of the human brain is a specific type of cell which, unlike the rest of the body, doesn't appear to regenerate. Because this type of cell is the only part of the body that isn't slowly replaced, it is assume ...
Spiking Neural Networks: Principles and Challenges
... Through Time (BPTT) can train any network topology on general pattern classification, regression or transformation tasks – despite some technical weaknesses. To date however, there is no general-purpose algorithm for spiking neural networks. An important challenge here is the discontinuous nature of ...
... Through Time (BPTT) can train any network topology on general pattern classification, regression or transformation tasks – despite some technical weaknesses. To date however, there is no general-purpose algorithm for spiking neural networks. An important challenge here is the discontinuous nature of ...
A Framework for Comparing Alternative Formalisms for
... set of simple properties Even though others, probability theory must be accepted. including Jaynes [9] and Tribus [lo] have since demonstrated similar proofs, the work has remained obscure. We think it is important that the artificial intelligence After community become familiar with Cox’s result. c ...
... set of simple properties Even though others, probability theory must be accepted. including Jaynes [9] and Tribus [lo] have since demonstrated similar proofs, the work has remained obscure. We think it is important that the artificial intelligence After community become familiar with Cox’s result. c ...
On the Incompatibility of Negative Introspection and Knowledge as
... The procedure would be the following: The sentences of a language L are recursively enumerable (by some Turing machine M1); for good measure the theorems of some undecidable logic ∆ expressed in L are recursively enumerable (by some Turing machine M2). Let M1 provide a sentence α. Check: Bα∈B? Eithe ...
... The procedure would be the following: The sentences of a language L are recursively enumerable (by some Turing machine M1); for good measure the theorems of some undecidable logic ∆ expressed in L are recursively enumerable (by some Turing machine M2). Let M1 provide a sentence α. Check: Bα∈B? Eithe ...
Evolving Real-time Heuristic Search Algorithms
... University of Alberta Edmonton, Alberta, T6G 2E8, Canada [email protected] ...
... University of Alberta Edmonton, Alberta, T6G 2E8, Canada [email protected] ...
Incremental Heuristic Search in Artificial Intelligence
... incremental search. Incremental search is a search technique for continual planning (or, synonymously, replanning, plan reuse, and lifelong planning) that reuses information from previous searches to find solutions to a series of similar search problems potentially faster than is possible by solving ...
... incremental search. Incremental search is a search technique for continual planning (or, synonymously, replanning, plan reuse, and lifelong planning) that reuses information from previous searches to find solutions to a series of similar search problems potentially faster than is possible by solving ...
MEETING FLORIDI`S CHALLENGE TO ARTIFICIAL INTELLIGENCE
... Of course, anyone convinced not only of AI's ability to eventually create creatures that appear to have minds but also of its ability to produce artificial minds, will want to show that Floridi's challenge can be surmounted. One of the remarkable aspects of his article is that it targets both "weak" ...
... Of course, anyone convinced not only of AI's ability to eventually create creatures that appear to have minds but also of its ability to produce artificial minds, will want to show that Floridi's challenge can be surmounted. One of the remarkable aspects of his article is that it targets both "weak" ...
Genetic Generation of Connection Patterns for a Dynamic Artificial
... network parameters are changed to reduce the difference between the output and the desired response. In perceptron type neural networks, the network parameter that is changed is the weight matrix, which might be in the form of a set of numbers, resistances, voltages, light intensities, or currents. ...
... network parameters are changed to reduce the difference between the output and the desired response. In perceptron type neural networks, the network parameter that is changed is the weight matrix, which might be in the form of a set of numbers, resistances, voltages, light intensities, or currents. ...
Aalborg Universitet The Meaning of Action
... 2. understand what effects certain actions have on the environment of the actor (recognizing the action by observing its effects on the environment) 3. understand how to physically perform a certain action in order to cause a particular change in the environment. While the first two points are commo ...
... 2. understand what effects certain actions have on the environment of the actor (recognizing the action by observing its effects on the environment) 3. understand how to physically perform a certain action in order to cause a particular change in the environment. While the first two points are commo ...