This paper provides an overview on the contribution of soft computing to the field of behavior based robotics. It discusses the role of pure fuzzy, neuro-fuzzy and genetic fuzzy rule-based systems for behavior architectures and adaptation. It reviews a number of applications of soft computing techniques to autonomous robot navigation and control.

We have been using fuzzy data mining techniques to extract patterns that represent normal behavior for intrusion detection. In this paper we describe a variety of modifications that we have made to the data mining algorithms in order to improve accuracy and efficiency. We use sets of fuzzy association rules that are mined from network audit data as models of " normal behavior. " To detect anoma...

The concept of intuitionistic fuzzy β-almost compactness and intuitionistic fuzzy β-nearly compactness in intuitionistic fuzzy topological spaces is introduced and studied. Besides giving characterizations of these spaces, we study some of their properties. Also, we investigate the behavior of intuitionistic fuzzy β-compactness, intuitionistic fuzzy β-almost compactness, and intuitionistic fuzz...

The aim of this paper is to provide an active inference algorithm for anomalous behavior. As a main concept we introduce fuzzy temporal consistency covering set, and put forward a fuzzy temporal selection model based on temporal inference and covering technology. Fuzzy set is used to describe network anomaly behavior omen and character, as well as the relations between behavior omen and charact...

Fuzzy systems have extensively been applied to process uncertain information and knowledge, and have mostly been implemented on traditional silicon based chips or electronic circuits. This paper proposes a new, non-silicon based paradigm called amoeba-based computing. In this scheme, fuzzy systems, such as fuzzy logic (e.g., inference) and control, will be implemented by means of behavior of an...

This paper describes how fuzzy control can be applied to a sonar-based mobile robot. Behavior-based fuzzy control for HelpMate behaviors was designed using sonar sensors. The fuzzy controller provides a mechanism for combining sensor data from all sonar sensors which present di®erent information. The behavior-based approach is implemented as an individual high priority behavior. The highest lev...

Takagi-Sugeno (TS) fuzzy modeling and control techniques are applied to the classical nonlinear Ball and Beam problem. The nonlinear model is segmented to different local linear models. Local controllers are hence designed using LMI theory for achieving a robust control behavior for ball position. TS fuzzy modeling is applied to generate suitable fuzzy models, and the associated controllers. Us...

This paper presents a method for fuzzy-logic-based reactive behavior control of an autonomous mobile system in unknown environments. Difficulties in behavior-based control arise mainly from the quantitative formulation of reactive behavior as well as from the need for efficient coordination of conflicts and competition among multiple types of reactive behavior. The main idea of the present stud...

In this paper, we visualize the behavior of a futures trading agent by using fuzzy if-then rules. The main aim of this paper is to graphically interpret how trading agents make decisions such as to buy or to sell a futures stock. Fuzzy ifthen rules are used for this aim because their antecedent part specifies the features of time series. The procedure for visualizing the behavior of trading age...

The complexity of an autonomous robot's navigation task, poses several roadblocks to the use of traditional fuzzy control schemes, such as much larger input space than typical fuzzy applications, adding inputs increases the required number of set evaluations exponentially, as the size of a rule base swells, manual description becomes difficult to impossible. Therefore in this paper a new behavi...