ions of these networks, eg, cube on cube (The Society of Mind by Marvin Minsky, MIT, 1985) and “learning” mechanisms (The Organization of Behavior by Donald O Hebb, 1949) may not constitute intelligence. These processes populate fields with values from the user environment which can be selectively used (per contra hard coded defined sets). For example, NEST Learning Thermostat uses input values...

The paper carried a brief overview of artificial intelligence algorithms applicable to nondestructive testing. It focuses on two methods: artificial neural networks and fuzzy logic. Selected examples of applications of these methods in digital radiography and eddy current method are given.

. In the paper different architectures with partly self-developed simulation packages are described illustrating the benefits of combining simulation and machine learning (ML) techniques in manufacturing. From the artificial intelligence (AI) and ML side, artificial neural networks, heuristic search, simulated annealing, and agent-based techniques are put into action. The applicability of the p...

• I. What is Artificial Intelligence (AI)? • II. What are Expert Systems (ES)? ◦ Functional Components ◦ Structural Components • III. How do People Reason? • IV. How do Computers Reason? ◦ IV-1. Frames ◦ IV-2. Rule Based Reasoning ◾ IV-2a. Knowledge Engineering ◦ IV-3. Case-Based Reasoning ◦ IV-4. Neural Networks • V. Advantages and Disadvantages • VI. Additional Sources of Information ◦ VI-1. ...

Whereas the main objective of Artificial Intelligence is to develop systems that emulate the intellectual and interaction abilities of a human being the Distributed Artificial Intelligence pursues the same objective but focusing on human being societies (O’Hare et al., 2006). A paradigm in current use for the development of Distributed Artificial Intelligence is based on the notion of multi-age...

In this paper, we consider an interesting issue related to artificial intelligence, namely artificial morality – i.e. can we perform ethical reasoning by computers? We introduce how to apply Bayesian networks, Dempster-Shafer theory and Assumption-based Truth Maintenance Systems for moral reasoning.

This paper covers a number of approaches that leverage Artificial Intelligence algorithms and techniques to aid Unmanned Combat Aerial Vehicle (UCAV) autonomy. An analysis of current approaches to autonomous control is provided followed by an exploration of how these techniques can be extended and enriched with AI techniques including Artificial Neural Networks (ANN), Ensembling and Reinforceme...

This chapter introduces the idea of " Evolvable Hardware, " which applies evolutionary algorithms to the generation of programmable hardware as a means of achieving Artificial Intelligence. Cellular Automata-based Neural Networks are evolved in different modules, which form the components of artificial brains. Results from past models and plans for future work are presented.