Artificial intelligence
@article{Tecuci2012ArtificialI, title={Artificial intelligence}, author={Gheorghe Tecuci}, journal={Wiley Interdisciplinary Reviews: Computational Statistics}, year={2012}, volume={4} }
Artificial intelligence (AI) is the Science and Engineering domain concerned with the theory and practice of developing systems that exhibit the characteristics we associate with intelligence in human behavior. Starting with a brief history of artificial intelligence, this article presents a general overview of this broad interdisciplinary field, organized around the main modules of the notional architecture of an intelligent agent (knowledge representation; problem solving and planning…
37 Citations
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References
SHOWING 1-10 OF 73 REFERENCES
Artificial Intelligence: A Modern Approach
- Computer Science
- 1995
The long-anticipated revision of this #1 selling book offers the most comprehensive, state of the art introduction to the theory and practice of artificial intelligence for modern applications.…
Artificial Intelligence
- Computer ScienceIFIP Congress
- 1974
The history, the major landmarks, and some of the controversies in each of these twelve topics are discussed, as well as some predictions about the course of future research.
Rule‐Based Expert Systems
- Computer Science, Philosophy
- 2009
Anyone can be considered a domain expert if he or she has deep knowledge and strong practical experience in a particular domain and is capable of expressing their knowledge in the form of rules for problem solving.
THE DISCIPLE–RKF LEARNING AND REASONING AGENT
- Computer ScienceComput. Intell.
- 2005
The most recent version of the Disciple approach and its implementation in the Disciple–RKF (rapid knowledge formation) system, which has been applied to build learning and reasoning agents for military center of gravity analysis, which are used in several courses at the US Army War College.
Seven Aspects of Mixed-Initiative Reasoning: An Introduction to this Special Issue on Mixed-Initiative Assistants
- Computer ScienceAI Mag.
- 2007
This paper introduces seven aspects of mixed-initiative reasoning (task, control, awareness, communication, personalization, architecture, and evaluation) and discusses them in the context of several state-of-the-art mixed- initiative assistants.
Reinforcement Learning: A Survey
- PsychologyJ. Artif. Intell. Res.
- 1996
Central issues of reinforcement learning are discussed, including trading off exploration and exploitation, establishing the foundations of the field via Markov decision theory, learning from delayed reinforcement, constructing empirical models to accelerate learning, making use of generalization and hierarchy, and coping with hidden state.
Building Intelligent Agents: An Apprenticeship, Multistrategy Learning Theory, Methodology, Tool and Case Studies
- Computer Science
- 1998
Discipline, a toolkit for building interactive agents which function in much the same way as a human apprentice, is featured in this book, which presents complex and detailed case studies of building different types of agents.
Induction of Decision Trees
- Computer ScienceMachine Learning
- 2004
This paper summarizes an approach to synthesizing decision trees that has been used in a variety of systems, and it describes one such system, ID3, in detail, which is described in detail.