13. Intelligent Information Systems.
... • Work with a data warehouse • Detect trends and discover information and relationships among data items that were not readily apparent • Helps detect potential problems that may arise in future which enables to come up with a solution that minimizes the negative effects of the problem ...
... • Work with a data warehouse • Detect trends and discover information and relationships among data items that were not readily apparent • Helps detect potential problems that may arise in future which enables to come up with a solution that minimizes the negative effects of the problem ...
Machine Intelligence and Robotics: Report of the NASA
... This publication, complete with appendant documentation, is the final report of the NASA Study Group on Machine Intelligence and Robotics. As you will note in the Introduction, Section I, the report tells why the Study Group was gathered together; and what the Group felt and hoped to do. You will se ...
... This publication, complete with appendant documentation, is the final report of the NASA Study Group on Machine Intelligence and Robotics. As you will note in the Introduction, Section I, the report tells why the Study Group was gathered together; and what the Group felt and hoped to do. You will se ...
Multi-Agent Systems Introduction
... Multi-Agent System (MAS) : set of agents, that interact with each other, situated in a common environment, eventually, building or participating to, an organisation Multi-Agent Systems: Introduction ...
... Multi-Agent System (MAS) : set of agents, that interact with each other, situated in a common environment, eventually, building or participating to, an organisation Multi-Agent Systems: Introduction ...
Organisational Intelligence and Distributed AI
... and data management, but it also enables implementation of new organisational strategies, and it even actively stimulates the development of completely new organisational solution. This has already changed the internal structures of many existing enterprises, and has resulted in major modifications ...
... and data management, but it also enables implementation of new organisational strategies, and it even actively stimulates the development of completely new organisational solution. This has already changed the internal structures of many existing enterprises, and has resulted in major modifications ...
Chapter 04 Decision Support and Artificial Intelligence
... C. A genetic algorithm provides you with the best solution; an expert system provides you with many solutions along with the confidence level for each possible solution d. Expert systems belong in the category of artificial intelligence; genetic algorithms work with large database and warehouse syst ...
... C. A genetic algorithm provides you with the best solution; an expert system provides you with many solutions along with the confidence level for each possible solution d. Expert systems belong in the category of artificial intelligence; genetic algorithms work with large database and warehouse syst ...
Introduction to The Soar Papers - Autonomous Learning Laboratory
... page within this collection where the article can be found. Following the bibliography of included articles is a bibliography for the external citations. Then come the actual articles included in this volume, organized into their chronological parts. ...
... page within this collection where the article can be found. Following the bibliography of included articles is a bibliography for the external citations. Then come the actual articles included in this volume, organized into their chronological parts. ...
rtf - MIT Media Lab
... indexed by contextual meta-knowledge that include the agent\u8217's goals. Push Singh implemented this planning/meta-planning system using script-like cases called \u8220"commonsense narratives.\u8221"\par} {\pard \ql \f0 \sa0 \li720 \fi-360 \endash \tx360\tab {\b Knowledge engineers} . Large-scale ...
... indexed by contextual meta-knowledge that include the agent\u8217's goals. Push Singh implemented this planning/meta-planning system using script-like cases called \u8220"commonsense narratives.\u8221"\par} {\pard \ql \f0 \sa0 \li720 \fi-360 \endash \tx360\tab {\b Knowledge engineers} . Large-scale ...
METAPHORS IN LEIBNIZ`S PHILOSOPHY
... most tolerated for rhetorical purposes. My analysis will show, however, that such statements are in fact in stark opposition with the crucial role which metaphorical discourse plays in the exposition of Leibniz’s most fundamental theses, and with the fact the basic metaphors are never actually ‘cash ...
... most tolerated for rhetorical purposes. My analysis will show, however, that such statements are in fact in stark opposition with the crucial role which metaphorical discourse plays in the exposition of Leibniz’s most fundamental theses, and with the fact the basic metaphors are never actually ‘cash ...
Connecting a Logical Framework to a First
... We do not solve this problem here, but we point out that, if we restrict ourselves to implicitely universally quantified propositional formulæ, in the following called open formulæ, this problem does not arise. Furthermore, when we restrict to this fragment, we can use the idea of implicit typing [B ...
... We do not solve this problem here, but we point out that, if we restrict ourselves to implicitely universally quantified propositional formulæ, in the following called open formulæ, this problem does not arise. Furthermore, when we restrict to this fragment, we can use the idea of implicit typing [B ...
Learning to Plan in Complex Stochastic Domains
... simulation in which the user-controlled agent can place, craft, and destroy blocks of different types. Due to its complexity, Minecraft serves as a compelling simulator for the real world. The Minecraft world is rich enough to offer many interesting challenges, but still gives designers of the tasks ...
... simulation in which the user-controlled agent can place, craft, and destroy blocks of different types. Due to its complexity, Minecraft serves as a compelling simulator for the real world. The Minecraft world is rich enough to offer many interesting challenges, but still gives designers of the tasks ...
Diagnosis of Coordination Faults: A Matrix
... multiple defenders and goalie with non-binary constraints. In addition, by a single constraint we can define the coordination between part of the actions of a defender with partial set of the attacker’s actions and the goalie’s actions. In this paper we propose a model-based approach to address this ...
... multiple defenders and goalie with non-binary constraints. In addition, by a single constraint we can define the coordination between part of the actions of a defender with partial set of the attacker’s actions and the goalie’s actions. In this paper we propose a model-based approach to address this ...
A Argumentation Mining: State of the Art and Emerging Trends
... before we discuss methods, we shall first define a taxonomy to organize the tasks that go under the umbrella of AM. Next, we will survey the machine learning and natural language methods employed by existing systems based on the role they play in a typical AM system architecture. The systems develop ...
... before we discuss methods, we shall first define a taxonomy to organize the tasks that go under the umbrella of AM. Next, we will survey the machine learning and natural language methods employed by existing systems based on the role they play in a typical AM system architecture. The systems develop ...
A suitable semantics for implicit and explicit belief
... it typically modelled on normal frames for epistemic logic as a K45 or a KD45 modality, whereas different conditions imposed on the set of propositions of which the agents are aware allow us to capture various interpretations of explicit belief. In spite of its merits, this approach is not fully apt ...
... it typically modelled on normal frames for epistemic logic as a K45 or a KD45 modality, whereas different conditions imposed on the set of propositions of which the agents are aware allow us to capture various interpretations of explicit belief. In spite of its merits, this approach is not fully apt ...
pdf
... which can be used to model different possibilities of interpretation; see [10] for a similar perspective on the application of nonmonotonic logic tools. This paper presents a generic model-based default reasoning method that can be exploited to this end. The method exploits the available causal mode ...
... which can be used to model different possibilities of interpretation; see [10] for a similar perspective on the application of nonmonotonic logic tools. This paper presents a generic model-based default reasoning method that can be exploited to this end. The method exploits the available causal mode ...
Machine Learning meets Knowledge Representation in the
... ML algorithms can support this task by partially automating the knowledge acquisition process ...
... ML algorithms can support this task by partially automating the knowledge acquisition process ...
Awareness, negation and logical omniscience
... proposed strategies to handle with the problem. In [10], Hintikka asserts that the only reasonable way of solving th problem of logical omniscience is to countenance worlds that are epistemically possible but not logically possible. However, in [7], Fagin and Halpern present some awareness logics, a ...
... proposed strategies to handle with the problem. In [10], Hintikka asserts that the only reasonable way of solving th problem of logical omniscience is to countenance worlds that are epistemically possible but not logically possible. However, in [7], Fagin and Halpern present some awareness logics, a ...
Lecture 15 - Wiki Index
... Granular computing is a growing information processing paradigm in computational intelligence and human-centric systems. Granular computing research has attracted many practitioners. Granular computing was initially called information granularity or information granulation related to fuzzy sets rese ...
... Granular computing is a growing information processing paradigm in computational intelligence and human-centric systems. Granular computing research has attracted many practitioners. Granular computing was initially called information granularity or information granulation related to fuzzy sets rese ...
Goal-Based Action Priors - Humans to Robots Laboratory
... Brown University, Computer Science Department 115 Waterman Street, 4th floor Providence, RI 02912 ...
... Brown University, Computer Science Department 115 Waterman Street, 4th floor Providence, RI 02912 ...
Foundations for Knowledge
... ASK routine to query the agent’s knowledge base and show that this always reduces to non-modal, first-order reasoning, leaning on results obtained in (Lakemeyer & Levesque 2004); for the online execution of sensing actions, we define an EXE routine and show that, analogous to Reiter, sensing results ...
... ASK routine to query the agent’s knowledge base and show that this always reduces to non-modal, first-order reasoning, leaning on results obtained in (Lakemeyer & Levesque 2004); for the online execution of sensing actions, we define an EXE routine and show that, analogous to Reiter, sensing results ...
ppt - CSE, IIT Bombay
... human perception-like flexible representations and actions. Within a domain and within a level these AI representations work as internal derivations. With added features like selfreference, feed back loop etc, it may work ...
... human perception-like flexible representations and actions. Within a domain and within a level these AI representations work as internal derivations. With added features like selfreference, feed back loop etc, it may work ...
Engineering Efficient Planners with SAT
... Abstract. Planning with SAT has long been viewed as a main approach to AI planning. In comparison to other approaches, its high memory requirements have been considered to be a main obstacle to its scalability to large planning problems. Better implementation technology, especially addressing the me ...
... Abstract. Planning with SAT has long been viewed as a main approach to AI planning. In comparison to other approaches, its high memory requirements have been considered to be a main obstacle to its scalability to large planning problems. Better implementation technology, especially addressing the me ...
Agenda Administrivia Course Policies Computational Linguistics 1
... • What humans do when processing language • (vs) What linguists do when processing language ...
... • What humans do when processing language • (vs) What linguists do when processing language ...
PowerPoint 簡報
... Classic Logic Reasoning Logic reasoning is to find other true propositions (facts) from given true propositions (knowledge and/or facts). The scenario of logic reasoning can be interpreted as: There is a knowledge base containing facts or rules. Now, a new piece of information or the description of ...
... Classic Logic Reasoning Logic reasoning is to find other true propositions (facts) from given true propositions (knowledge and/or facts). The scenario of logic reasoning can be interpreted as: There is a knowledge base containing facts or rules. Now, a new piece of information or the description of ...
A Formal Characterization of Concept Learning in Description Logics
... Models are almost by definition declarative and it is useful to distinguish the CSP, which is concerned with finding a solution that satisfies all the constraints in the model, from the OP, where one also must guarantee that the found solution be optimal w.r.t. the optimization function. Examples of ...
... Models are almost by definition declarative and it is useful to distinguish the CSP, which is concerned with finding a solution that satisfies all the constraints in the model, from the OP, where one also must guarantee that the found solution be optimal w.r.t. the optimization function. Examples of ...
Logic in Nonmonotonic Reasoning
... knowledge bases, when such hierarchies have been allowed to have exceptions. The theory of reasoning in such taxonomies has been called nonmonotonic inheritance (see [Horty, 1994] for an overview). The guiding principle in resolving potential conflicts in such hierarchies was a specificity principl ...
... knowledge bases, when such hierarchies have been allowed to have exceptions. The theory of reasoning in such taxonomies has been called nonmonotonic inheritance (see [Horty, 1994] for an overview). The guiding principle in resolving potential conflicts in such hierarchies was a specificity principl ...