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Techniques and issues in the design of applied artificial intelligence systems

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TLDR
This paper provides a historical perspective on the evolution of practical artificial intelligence by presenting the important techniques underlying modern AI application systems, discussing some of the important issues that must be confronted by any practical AI system, and showing where the various papers in the special issue fit in the spectrum of practical AI.
Abstract
In this paper we give context for the special issue by providing a historical perspective on the evolution of practical artificial intelligence (AI), presenting the important techniques underlying modern AI application systems, discussing some of the important issues that must be confronted by any practical AI system, and showing where the various papers in the special issue fit in the spectrum of practical AI.

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Journal ArticleDOI

The cellular device machine: Point of departure for large-scale simulations of complex biological systems

TL;DR: The immune system is used as an example to illustrate the capabilities of the nested automaton approach to substantially reduce the complexity arising from the building structure of large and heterogeneous systems and show the capacity of the CDM to exhibit and explain phenomena of self-organization in such systems.
Book ChapterDOI

The Blackboard Architecture in Knowledge-Based Robotic Systems

TL;DR: An account of the main concepts and issues of the blackboard architecture and their use in designing integrated knowledge-based intelligent robotic systems and some particular applications of this approach will be discussed.
References
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Book ChapterDOI

A framework for representing knowledge

Marvin Minsky
TL;DR: The enormous problem of the volume of background common sense knowledge required to understand even very simple natural language texts is discussed and it is suggested that networks of frames are a reasonable approach to represent such knowledge.
Journal ArticleDOI

A logic for default reasoning

TL;DR: This paper proposes a logic for default reasoning, develops a complete proof theory and shows how to interface it with a top down resolution theorem prover, and provides criteria under which the revision of derived beliefs must be effected.
Journal ArticleDOI

A Machine-Oriented Logic Based on the Resolution Principle

TL;DR: The paper concludes with a discussion of several principles which are applicable to the design of efficient proof-procedures employing resolution as the basle logical process.
Journal ArticleDOI

Intelligent tutoring systems

TL;DR: Computer tutors based on a set of pedagogical principles derived from the ACT theory of cognition have been developed for teaching students to do proofs in geometry and to write computer programs in the language LISP.
Journal ArticleDOI

Some studies in machine learning using the game of checkers

TL;DR: In this article, two machine learning procedures have been investigated in some detail using the game of checkers, and enough work has been done to verify the fact that a computer can be programmed so that it will lear...
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