Chapter 14: Artificial Intelligence
... Agent initiates communication, takes action, and performs tasks on its own using its knowledge of the user’s needs and preferences ...
... Agent initiates communication, takes action, and performs tasks on its own using its knowledge of the user’s needs and preferences ...
The Even More Irresistible SROIQ
... basis of an ontology language, and to constitute a good compromise between expressive power and computational complexity/practicability of reasoning. However, it lacks e.g. qualified number restrictions which are present in the DL considered here since they are required in various applications (19) ...
... basis of an ontology language, and to constitute a good compromise between expressive power and computational complexity/practicability of reasoning. However, it lacks e.g. qualified number restrictions which are present in the DL considered here since they are required in various applications (19) ...
Resume - Cheriton School of Computer Science
... Proposed a new KNN based multi-attribute approach for classification of web contents. Implemented efficient classifiers for web and text mining for improving the legacy systems. Worked on training/testing the SVM classifiers for categorizing audio/video assets. Developed test scripts, generated ROC, ...
... Proposed a new KNN based multi-attribute approach for classification of web contents. Implemented efficient classifiers for web and text mining for improving the legacy systems. Worked on training/testing the SVM classifiers for categorizing audio/video assets. Developed test scripts, generated ROC, ...
Essential Thinking. Introduction to Problem Solving
... Problem Solving - what is necessary? A word on toolkit language — its roles, knowledge representation formalism, knowledge processing tools — operators, problem statement, search space; state-space, constraints, heuristics, search strategy; memory vs. repeated search, domain ontology, the goal — ex ...
... Problem Solving - what is necessary? A word on toolkit language — its roles, knowledge representation formalism, knowledge processing tools — operators, problem statement, search space; state-space, constraints, heuristics, search strategy; memory vs. repeated search, domain ontology, the goal — ex ...
Is there a future for AI without representation?
... This lack of ‘mental representation’ is considered fatal for the creation of an intelligent agent – on the standard assumption that perception, reasoning, goals and planning are based on representations and essential to cognition. At the same time, many technical problems in AI turned out much harde ...
... This lack of ‘mental representation’ is considered fatal for the creation of an intelligent agent – on the standard assumption that perception, reasoning, goals and planning are based on representations and essential to cognition. At the same time, many technical problems in AI turned out much harde ...
important questions in part-a and answers...
... Model selection is difficult because it requires expertise. This is an area where knowledge components could assist. Define a text-oriented DSS. A text-oriented DSS is one where information is frequently stored in a textual format. It keeps track of text-based information that could have a bearing o ...
... Model selection is difficult because it requires expertise. This is an area where knowledge components could assist. Define a text-oriented DSS. A text-oriented DSS is one where information is frequently stored in a textual format. It keeps track of text-based information that could have a bearing o ...
Artificial Intelligence, Lecture 1.2, Page 1
... explicit states or features or objects and relations static or finite stage or indefinite stage or infinite stage fully observable or partially observable deterministic or stochastic actions goals or complex preferences single agent or multiple agents knowledge is given or learned perfect rationalit ...
... explicit states or features or objects and relations static or finite stage or indefinite stage or infinite stage fully observable or partially observable deterministic or stochastic actions goals or complex preferences single agent or multiple agents knowledge is given or learned perfect rationalit ...
Vincent C. Müller Is There A Future For AI Without Representation?
... and given this clarification, we can hope to speculate about its prospects. I will take my starting point from some proposals made by Rodney Brooks around 1990, see what they involve and where they can take us, helped by philosophical developments in more recent years concerning cognition and repres ...
... and given this clarification, we can hope to speculate about its prospects. I will take my starting point from some proposals made by Rodney Brooks around 1990, see what they involve and where they can take us, helped by philosophical developments in more recent years concerning cognition and repres ...
Guided Incremental Construction of Belief Networks
... repair spaceship). To reason with a lot of general knowledge—imagine a probabilistic knowledge base as large as Cyc! [11]—it helps to be able to work with a plausible subset. But if this subset is selected in advance, we cannot handle situations where implausible rules suddenly become plausible, fo ...
... repair spaceship). To reason with a lot of general knowledge—imagine a probabilistic knowledge base as large as Cyc! [11]—it helps to be able to work with a plausible subset. But if this subset is selected in advance, we cannot handle situations where implausible rules suddenly become plausible, fo ...
A case-based expert system for scheduling problems
... It may be possible to satisfy some subset of constraints in scheduling but some may conflict with each other. Relaxation of constraints may be necessary in some instances and desirable in others. For instance, a due date - user dependent constraint - may need to be relaxed (a so-called soft constrai ...
... It may be possible to satisfy some subset of constraints in scheduling but some may conflict with each other. Relaxation of constraints may be necessary in some instances and desirable in others. For instance, a due date - user dependent constraint - may need to be relaxed (a so-called soft constrai ...
Agent - KDD - Kansas State University
... Choice: select actions (and carry them out) Knowledge: represent knowledge about environment Perception: capability to sense environment Criterion: performance measure to define degree of success ...
... Choice: select actions (and carry them out) Knowledge: represent knowledge about environment Perception: capability to sense environment Criterion: performance measure to define degree of success ...
Syllabus - Computer Engineering
... 1. Mid- t erm and final exam s of 250 point s each ( close book wit h one A4 not e and a calculat or.) Makeup exam s ( m ust have a very good reason for makeup) are much difficult than normal exams. 2. Two program m ing assignm ent s of 100 point s each ( lat e penalt y: 20 points/day.) Makeups are ...
... 1. Mid- t erm and final exam s of 250 point s each ( close book wit h one A4 not e and a calculat or.) Makeup exam s ( m ust have a very good reason for makeup) are much difficult than normal exams. 2. Two program m ing assignm ent s of 100 point s each ( lat e penalt y: 20 points/day.) Makeups are ...
1992-Ideal Introspective Belief
... and which can imitate the groundedness conditions of default logic. Let us define one fixed point logic Sl to be included in another S2 (Sl -+ S2) if for any premise set the extensions of Sl are always extensions of S2, and for some premise set there is an extension of S2 that is not an extension of ...
... and which can imitate the groundedness conditions of default logic. Let us define one fixed point logic Sl to be included in another S2 (Sl -+ S2) if for any premise set the extensions of Sl are always extensions of S2, and for some premise set there is an extension of S2 that is not an extension of ...
AAAI Proceedings Template
... to new situations. Traditional planning approaches for selecting actions assume complete knowledge of userspecified goals. Intelligent agent approaches employ subgoaling within sensing and action cycles. These approaches confront knowledge engineering challenges with respect to modeling the environm ...
... to new situations. Traditional planning approaches for selecting actions assume complete knowledge of userspecified goals. Intelligent agent approaches employ subgoaling within sensing and action cycles. These approaches confront knowledge engineering challenges with respect to modeling the environm ...
MS Word Format - Artificial Intelligence Applications Institute
... The issues in the representation may state the outstanding questions to be handled and can represent unsatisfied objectives, questions raised as a result of analysis, etc. The I constraints can be thought of as implying potential further constraints which may have to be added into the design in futu ...
... The issues in the representation may state the outstanding questions to be handled and can represent unsatisfied objectives, questions raised as a result of analysis, etc. The I constraints can be thought of as implying potential further constraints which may have to be added into the design in futu ...
First-Order Logic
... a, s Holding (Gold , Result(a, s )) (( a Grab) AtGold ( s )) ( Holding (Gold , s ) (a Release )) ...
... a, s Holding (Gold , Result(a, s )) (( a Grab) AtGold ( s )) ( Holding (Gold , s ) (a Release )) ...
Supporting Manual Mapping Revision using Logical Reasoning
... revision in terms of the number of decisions that have to be made by the expert. ...
... revision in terms of the number of decisions that have to be made by the expert. ...
Research Priorities for Robust and Beneficial Artificial Intelligence
... commonly observed that writing correct specifications can be harder than writing correct code. Unfortunately, it is not possible to verify the specification: the notions of ‘‘beneficial’’ and ‘‘desirable’’ are not separately made formal, so one cannot straightforwardly prove that satisfying ψ necess ...
... commonly observed that writing correct specifications can be harder than writing correct code. Unfortunately, it is not possible to verify the specification: the notions of ‘‘beneficial’’ and ‘‘desirable’’ are not separately made formal, so one cannot straightforwardly prove that satisfying ψ necess ...
context-based representation of intelligent behavior in training
... in effect until the goals are reached, at which point they are replaced by new goals that address the situation. However, SOAR is based on the rule-based paradigm, which, as mentioned before, although very intuitive, has many disadvantages. ...
... in effect until the goals are reached, at which point they are replaced by new goals that address the situation. However, SOAR is based on the rule-based paradigm, which, as mentioned before, although very intuitive, has many disadvantages. ...
On Two Forms of Bureaucracy in Derivations
... of certain normal forms for derivations. Nevertheless, term rewriting systems is what they are. In this section we present a linear term rewriting system on formulas in propositional logic such that a formula A rewrites to a formula B iff A implies B. This system is essentially obtained from system ...
... of certain normal forms for derivations. Nevertheless, term rewriting systems is what they are. In this section we present a linear term rewriting system on formulas in propositional logic such that a formula A rewrites to a formula B iff A implies B. This system is essentially obtained from system ...
A Principled Semantics for Logic Programs Updates
... We have compared EAPs with existing work by showing translations of action languages A , B and C into EAPs. We have shown peculiar capabilities of EAPs to handle changes in the rules of the considered domain and provided an example of such usage. ...
... We have compared EAPs with existing work by showing translations of action languages A , B and C into EAPs. We have shown peculiar capabilities of EAPs to handle changes in the rules of the considered domain and provided an example of such usage. ...
The Symbol Grounding Problem Remains Unsolved
... not solution at all; and likewise, a proposed solution that allows semantic resources to be imported from the outside is likewise no solution.10 Needless to say, they hold that their solution to SGP satisfies the Z Condition. The present their solution in a determinate sequence of moves; overall, th ...
... not solution at all; and likewise, a proposed solution that allows semantic resources to be imported from the outside is likewise no solution.10 Needless to say, they hold that their solution to SGP satisfies the Z Condition. The present their solution in a determinate sequence of moves; overall, th ...
A Comparative Analysis of Story Representations for
... Planning languages support many of the capabilities described above. A system can easily recognize when story mediation is needed by observing when causal threats are created by player or synthetic character actions (Young, Riedl et al. 2004; Riedl and Stern 2006). A partial-order plan’s structure a ...
... Planning languages support many of the capabilities described above. A system can easily recognize when story mediation is needed by observing when causal threats are created by player or synthetic character actions (Young, Riedl et al. 2004; Riedl and Stern 2006). A partial-order plan’s structure a ...
STUDY ON CONVERSION FROM SPATIAL INFORMATION TO
... Static location and dynamic location have respective features in the aspect of natural language syntax representation. Direction is represented by azimuth lexicon and reference points, and indicates spatial characteristics generated by entities’ oriented direction in natural language sentences. Vari ...
... Static location and dynamic location have respective features in the aspect of natural language syntax representation. Direction is represented by azimuth lexicon and reference points, and indicates spatial characteristics generated by entities’ oriented direction in natural language sentences. Vari ...
Artificial Intelligence and Expert Systems
... Expert knowledge is well-stored, organized and retrievable quickly from an expert Experts have excellent recall Decision Support Systems and Intelligent Systems, Efraim Turban and Jay E. Aronson 6th ed, Copyright 2001, Prentice Hall, Upper Saddle River, NJ ...
... Expert knowledge is well-stored, organized and retrievable quickly from an expert Experts have excellent recall Decision Support Systems and Intelligent Systems, Efraim Turban and Jay E. Aronson 6th ed, Copyright 2001, Prentice Hall, Upper Saddle River, NJ ...