We study some aspects of the dynamic neural .lter (DNF), a recurrent network that produces spatiotemporal sequences in reaction to sets of constant inputs. The biological motivation for this study came from the observation of spatiotemporal patterns in the locust antennal lobe. Some of the aspects of these results can be reformulated and characterized by the DNF. Studying deterministic dynamics...

Decoupling behavior modeling from a specific inheritance hierarchy has become one of the challenges for objectoriented software engineering. The goal is to encapsulate behavior on its own, and yet be able to freely apply it to a given class structure. We claim that standard objectoriented languages do not directly address this problem and propose the concept of Personalities as a design and pro...

In our quest for knowledge, we face a frustrating dilemma. We want to engage with reality— to anticipate its future behavior, and either adjust it, or adjust our behavior to accommodate it. Yet we are fundamentally limited in our freedom to manipulate reality. Our limitation may stem from our finite resources: we can seed a cloud, but we can’t change the whole weather system. Or it may result f...

This article gives an example of improving the effectiveness of behavior modeling languages using ontological techniques. The techniques are applied to behaviors in the Unified Modeling Language (UML), using the logical meanings for classification introduced in UML 2. The article suggests unifying UML’s three kinds of behavior languages around the abstract syntax and semantics of composite stru...

We propose a framework for detecting action patterns from motion sequences and modeling the sensory-motor relationship of animals, using a generative recurrent neural network. The network has a discriminative part (classifying actions) and a generative part (predicting motion), whose recurrent cells are laterally connected, allowing higher levels of the network to represent high level behaviora...

In order to prevent emergencies or critical situations where humans are the origin, a timely provision of information thus obtained for the coordinating services and the on-site staff (e.g., emergency dispatch centers, emergency physicians, police) is necessary. The detection of critical situations and the early alarming, e.g., in case of deterioration of the person’s health status or a critica...

Modeling crowd behavior is an important challenge for cognitive modelers, multi-agent systems and social simulation. In this dissertation we explore several techniques for modeling crowd behaviors and address important challenges concerning each technique. In the first part of the work we use the agent based approach for modeling crowd behavior. We present the extended Social Comparison model (...

A framework for integrated driving behavior modeling, based on the concepts of short-term goal and short-term plan is proposed. Drivers are assumed to conceive and perform short-term plans in order to accomplish short-term goals. This behavioral framework captures drivers' planning capabilities and allows decisions to be based on anticipated future conditions. An integrated driving behavior mod...

facing the issues with structural complexity about which stakeholders have different views, has increasingly led to the use of soft systems methodology (ssm) in solving managerial problems. moreover, the flaws of this methodology in the stages of modeling and feasible, desirable changes, have provided the motivation for applying cognitive map (cm) and system dynamics in the ssm modeling. presen...