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AI & Logic Programming

Cellular Automata and Complexity

Part 1: Primary Papers

* Statistical Mechanics of Cellular Automata
* Algebraic Properties of Cellular Automata
* Universality and Complexity in Cellular Automata
* Computation Theory of Cellular Automata
* Undecidability and Intractability in Theoretical Physics
* Two-Dimensional Cellular Automata
* Origins of Randomness in Physical Systems
* Thermodynamics and Hydrodynamics of Cellular Automata
* Random Sequence Generation by Cellular Automata
* Approaches to Complexity Engineering

Building Expert Systems In Prolog

Table of contents

1       Introduction      
2     Using Prolog's Inference Engine
3     Backward Chaining with Uncertainty
4     Explanation
5     Production Systems
6     Frames
7     Integration
8     Backward Chaining Indexes
9     User Interface
10     Two Hybrids
11     Prototyping
12     Rubik's Cube
13     Appendix

Artificial Intelligence II

*  Artificial Intelligence II - Introduction
* AI Key Concepts - Revisited
* Knowledge Representation
* Logic Knowledge Representation
* Procedural Knowledge Representations
* Weak Slot and Filler Structures
* Strong Slot and Filler Structures
* Reasoning with Uncertainty: Non-Monotonic Reasoning
* Uncertain Reasoning: Statistical Methods
* Distributed Reasoning
* Planning I
* Planning II
* Learning I
* Learning II
* Common Sense
* Vision I
* Vision II
* VISION III
* Vision IV

Artificial Intelligence I

Table of Contents.

1 GENERAL INTRODUCTION; AI DEFINITIONS; A I TECHNIQUES;

SIMPLE GAME , TIC TAC TOE; QUESTION ANSWERING SYSTEMS; ALGORITHMS & DATA STRUCTURES; SAMPLE DIALOGUE SHOPPING; SUCCESS CRITERIA;

2 THE ELEMENTS AND CHARACTERISTICS OF THE LISP

PROGRAMMING LANGUAGE USING COMMON LISP ON MACS;

3 USER DEFINED FUNCTIONS IN LISP

Artificial Intelligence and Responsive Optimization, 2nd edition,

The purpose of this book is to apply the Artificial Intelligence and control systems to different real models.

In part 1, we have defined a fuzzy utility system, with different financial goals,
different levels of risk tolerance and different personal preferences, liquid assets, etc. A fuzzy system (extendible to a neutrosophic system) has been designed for the evaluations of the financial objectives. We have investigated the notion of fuzzy and neutrosophiness with respect to time management of money.

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