mobiTopp is an agent-based travel demand modelling framework designed in a modular fashion, so that exchange of individual modules is easy. This offers the possibility to start with quite simple models and implement the system in practice while at the same time providing the opportunity to develop more sophisticated models for research that can eventually be transferred into practice. Also, pra...

The use of reinforcement learning (RL) in multiagent scenarios is challenging. I consider the route choice problem, where drivers must choose routes that minimise their travel times. Here, selfish RL-agents must adapt to each others’ decisions. In this work, I show how the agents can learn (with performance guarantees) by minimising the regret associated with their decisions, thus achieving the...

Infrastructure Overview We propose an infrastructure for the development of Open Interaction Systems (OISs), based on the OCeAN metamodel [1] and on solutions that pertain to the field of Agreement Technologies. OISs are open to diverse types of participants (i.e., software agents), and enable them to interact with each other to achieve their objectives. To do so the participants are allowed to...

A fundamental issue of ubiquitous computing concerns the coordination gaps separating devices, services, and humans. Numerous heterogeneous devices, various information services, and users have different intentions and are physically located in respective environments. How can we coordinate the services and devices to assist a particular user in receiving a particular service and thereby maximi...

Much of cognitive psychology focuses on effects measured in tens of milliseconds while significant educational outcomes take tens of hours to achieve. The task of bridging this gap is analyzed in terms of Newell’s (1990) bands of cognition—the Biological, Cognitive, Rational, and Social Bands. The 10 millisecond effects reside in his Biological Band while the significant learning outcomes resid...

While there are many multi-agent platforms, one that can support the creation of a cyber system (comprising static and mobile soft agents), which in turn can control physical systems, seems grossly missing. In this demonstration, we introduce Tartarus, a Prolog based multi-agent platform that can cater to the creation, programming, cloning and termination of both static and mobile agents. Tarta...

This paper studies how the interplay between technological shocks and financial variables shapes the properties of macroeconomic dynamics. Most of the existing literature has based the analysis of aggregate macroeconomic regularities on the representative agent hypothesis (RAH). However, recent empirical research on longitudinal micro data sets has revealed a picture of business cycles and grow...

We present ESO-MAPF, a research and educational platform for experimenting with multi-agent path finding (MAPF). ESO-MAPF focuses on demonstrating the planning-acting chain in MAPF domain. is task of collision free paths agents from their starting positions to given individual goals. The standard uses abstraction where move an undirected graph via traversing its edges discrete steps. simplifies...

By the experiment, the optimal technological conditions that the water and oil repellent finishing agent EX-910E is applied in polyester nonwovens were confirmed. The technological conditions include that EX-910E usage is 40g/l, the bridging agent F-2921E usage is 6g/l, the pre-curing condition is 100 × 2/3min, and the curing condition is 160 × 2.5 min. The results of the experiment indicated t...

Shimmering is a collective defence behaviour in Giant honeybees (Apis dorsata) whereby individual bees flip their abdomen upwards, producing Mexican wave-like patterns on the nest surface. Bucket bridging has been used to explain the spread of information in a chain of members including three testable concepts: first, linearity assumes that individual "agent bees" that participate in the wave w...