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Intelligence virtual analyst capability
Intelligence virtual analyst capability

Automatic Genre-Dependent Composition using Answer Set
Automatic Genre-Dependent Composition using Answer Set

... theory and genre-specific characteristics. There already exist two similar projects using ASP, one of these being Anton, capable of creating musical compositions based on the rules of counter point (Boenn et al. 2010), the other being Armin, which is based on Anton and produces musical pieces that f ...
AAAI News - Association for the Advancement of Artificial Intelligence
AAAI News - Association for the Advancement of Artificial Intelligence

... invited participants is February 7 and the general registration deadline is February 28. For more information, please write to us at sss14@aaai.org ...
Numeric Planning via Search Space Abstraction - CEUR
Numeric Planning via Search Space Abstraction - CEUR

... In this section we describe an abstraction for planning problems with numeric fluents as described in Section 2.2. The method takes a planning problem with numeric fluents and produces an abstract classical planning problem. In the next section, we show how we can use a plan for the abstract problem ...
Page 1 of 14 Retrieval in Case-Based Reasoning: An
Page 1 of 14 Retrieval in Case-Based Reasoning: An

... With so many ways of measuring similarity, it is unsurprising that some researchers have looked at similarity in a general way, independent of any specific algorithm. For example, Richter (1992) discusses the notion of similarity in the context of a formal mathematical framework. He describes approa ...
True/False Questions
True/False Questions

... F 19. A genetic algorithm is a neural network that mimics the evolutionary, survival-of-the-fittest process to generate increasingly better solutions to a problem. Answer: False Level: Medium Page: 151 ...
IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE)
IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE)

... Mechanical Engineering Department, Ladoke Akintola University of Technology, Ogbomoso, Nigeria. ...
Awareness, negation and logical omniscience
Awareness, negation and logical omniscience

... logically incomplete deduction rules. In [13], Konolige presents a Deductive Belief System, in which an agent’s beliefs are described as a set of sentences in some formal language, together with a deductive process for deriving consequence of those beliefs. In Konolige’s deductive belief system, the ...
Answer Sets for Logic Programs with Arbitrary Abstract Constraint
Answer Sets for Logic Programs with Arbitrary Abstract Constraint

... facilitate the representation of a desirable type of knowledge in logic programming. As such, it is not a surprise that the focus has been on the definition of the semantics and little has been done to investigate the basic building block results for the new classes of logic programs. In this contex ...
On Agent Design Rationale
On Agent Design Rationale

... number of well-established formalisms, some people tend to provide informal descriptions that are already especially suited to fit them. This way, they ease up the translation from the descriptions to the chosen formalisms. But this is an awkward form of posing the question. We don’t choose problems ...
Intelligent Agents - Department of Computer Science, Oxford
Intelligent Agents - Department of Computer Science, Oxford

... term will lose all meaning (cf. “user friendly”). The definition presented here is adapted from [71]: An agent is a computer system that is situated in some environment, and that is capable of autonomous action in this environment in order to meet its design objectives. There are several points to n ...
AAAI Press Catalog - Association for the Advancement of Artificial
AAAI Press Catalog - Association for the Advancement of Artificial

... ultimedia, simulation, computer-mediated communication networks, and distance learning have all become part of the educational toolkit. The next major technology to change the face of education will be based on the widespread use of artificial intelligence (AI). Progress in AI has led to a deeper un ...
AI Methods in Algorithmic Composition
AI Methods in Algorithmic Composition

... 2.1 The Early Years In this section, we will review early research published on algorithmic composition with computers, or with a clear computational approach. While these references might have been discussed by methodology in the following sections, it is useful to group them together here, since i ...
COMBINED ARTIFICIAL INTELLIGENCE BEHAVIOUR SYSTEMS IN
COMBINED ARTIFICIAL INTELLIGENCE BEHAVIOUR SYSTEMS IN

... This thesis proposes a novel methodology for creating Artificial Agents with semirealistic behaviour, with such behaviour defined as overcoming common limitations of mainstream behaviour systems; rapidly switching between actions, ignoring “obvious” event priorities, etc. Behaviour in these Agents i ...
Addressing Perceptions of Case-Based Reasoning
Addressing Perceptions of Case-Based Reasoning

... (Brooks, 1991 Science). As Cohen (1991) demonstrated in his analysis of the papers presented at AAAI90, we are, as a discipline, just learning how to perform real, systematic experimentation. One hears a lot of talk about AI as an experimental science, but typically the “experiments" amount merely t ...
Basic Marketing, 16e
Basic Marketing, 16e

... of social media data to better understand customer/organization interaction dynamics Mobile analytics – analysis of data related to the use of mobile devices to support mobile computing and mobile e-commerce (m-commerce) © McGraw-Hill Companies, Inc., McGraw-Hill/Irwin ...
Cyber, Intelligence, and Security - Institute for National Security
Cyber, Intelligence, and Security - Institute for National Security

... The concept of jointness, popular in recent decades in military, intelligence, and civilian systems, represents a change in the way organizations operate in a complex and challenging environment. This environment is characterized by a networked structure, that is, multiple connections among entities ...
Automatic Melakarta Raaga Identification Syste Carnatic
Automatic Melakarta Raaga Identification Syste Carnatic

... The earlier work in Carnatic music retrieval is on a slow pace compared to western music. Some work is being done in Swara identification [1] and Singer identification [2] of Carnatic music. In Hindustani music work has been done in identifying the Melakarta raaga of Hindustani music [3]. In [3][19] ...
IJAI-6 - aut.upt.ro
IJAI-6 - aut.upt.ro

... the redundancy from feature space, then we utilize a feature selection method to obtain better performance with the features and reduce the computational cost and finally we apply a classifier learning algorithm as training step. In order to describe the proposed model for sentiment analysis, in thi ...
6.034 Artificial Intelligence. Copyright © 2004 by Massachusetts
6.034 Artificial Intelligence. Copyright © 2004 by Massachusetts

... Another way to look at the process we have just gone through is as a form of tree search. In this search space, the states are the entries in the stack, that is, the literals that appear on our stack. The edges (shown with a green dot in the middle of each edge) are the rules or facts. However, ther ...
Bayesian AI Introduction - Australasian Bayesian Network Modelling
Bayesian AI Introduction - Australasian Bayesian Network Modelling

... For 30 years Bayes’ Rule has NOT been used in AI • Not because it was thought undesirable ...
Multi-Agent Path Finding with Kinematic Constraints
Multi-Agent Path Finding with Kinematic Constraints

... XF represents the finish event and therefore has edges annotated with the STN bounds [0, ∞] to all vertices without outgoing edges. One can calculate a schedule (that assigns a time t(v) to each event v with the convention that t(XS ) = 0) that satisfies all simple temporal constraints in polynomial ...
Yuxing Chen`s Complete Thesis Booklet
Yuxing Chen`s Complete Thesis Booklet

... Swarm intelligence is the collective behavior of decentralized, self-organized systems, natural or artificial. The basic idea of swarm intelligence is a “population” of local interactions to the environment in a greater amount that creates a global system. At 1989, the swarm intelligence expression ...
Diagnosis of Coordination Faults: A Matrix
Diagnosis of Coordination Faults: A Matrix

... regions the agents that are responsible for those regions cooperate in making the diagnosis. This method is inappropriate for dynamic team settings, where agents cannot pre-select their communication partners. Similarly, Roos et al. [Roos et al., 2004] analyze a model-based diagnosis method for spat ...
Intelligent agent - Personal Web Pages
Intelligent agent - Personal Web Pages

... – (a). the environment that the agent occupies, the states that this environment can be in, and the type of environment. – (b). The action repertoire available to the agent, and any pre-conditions associated with these actions; – (c). The goal, or design objectives of the agent – what it is intended ...
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History of artificial intelligence

The history of artificial intelligence (AI) began in antiquity, with myths, stories and rumors of artificial beings endowed with intelligence or consciousness by master craftsmen; as Pamela McCorduck writes, AI began with ""an ancient wish to forge the gods.""The seeds of modern AI were planted by classical philosophers who attempted to describe the process of human thinking as the mechanical manipulation of symbols. This work culminated in the invention of the programmable digital computer in the 1940s, a machine based on the abstract essence of mathematical reasoning. This device and the ideas behind it inspired a handful of scientists to begin seriously discussing the possibility of building an electronic brain.The field of AI research was founded at a conference on the campus of Dartmouth College in the summer of 1956. Those who attended would become the leaders of AI research for decades. Many of them predicted that a machine as intelligent as a human being would exist in no more than a generation and they were given millions of dollars to make this vision come true. Eventually it became obvious that they had grossly underestimated the difficulty of the project. In 1973, in response to the criticism of James Lighthill and ongoing pressure from congress, the U.S. and British Governments stopped funding undirected research into artificial intelligence. Seven years later, a visionary initiative by the Japanese Government inspired governments and industry to provide AI with billions of dollars, but by the late 80s the investors became disillusioned and withdrew funding again. This cycle of boom and bust, of ""AI winters"" and summers, continues to haunt the field. Undaunted, there are those who make extraordinary predictions even now.Progress in AI has continued, despite the rise and fall of its reputation in the eyes of government bureaucrats and venture capitalists. Problems that had begun to seem impossible in 1970 have been solved and the solutions are now used in successful commercial products. However, no machine has been built with a human level of intelligence, contrary to the optimistic predictions of the first generation of AI researchers. ""We can only see a short distance ahead,"" admitted Alan Turing, in a famous 1950 paper that catalyzed the modern search for machines that think. ""But,"" he added, ""we can see much that must be done.""
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