Jan Ole Berndt

Deutsches Forschungszentrum für Künstliche Intelligenz | DFKI

Consumption of animal-sourced food is an important factor in broadening the diet of early hominins, promoting brain and body growth, and increasing behavioural complexity. However, whether early hominins obtained animal food by scavenging or hunting large mammals remains debated. Sabre-toothed felids have been proposed to facilitate the expansion o...

Recent advances in machine learning may be leveraged by researchers in the context of agent-based modelling. With the help of surrogate models, machine learned models based on samples of a more complex agent-based model, computationally expensive evaluation methods such as sensitivity analysis and calibration may be supported and sped up. To explor...

Multi-agent based systems offer the possibility to examine the effects of policies down to specific target groups while also considering the effects on a population-level scale. To examine the impact of different schooling strategies, an agent-based model is used in the context of the COVID-19 pandemic using a German city as an example. The simulat...

Multi-agent based systems offer the possibility to examine the effects of policies down to specific target groups while also considering the effects on a population-level scale. To examine the impact of different schooling strategies, an agent-based model is used in the context of the COVID-19 pandemic using a German city as an example. The simulat...

During the COVID-19 pandemic, a rise of (agent-based) simulation models for predicting future developments and assessing intervention scenarios has been observed. At the same time, dashboarding has become a popular way to aggregate and visualise large quantities of data. The AScore Pandemic Management Cockpit brings together multiagent-based simula...

Data-driven models with weak theoretical foundations for the examination of interventions and concepts to improve and maintain health lack explainability of results and suggestions. The use of agent-based models is a possible approach to remedy this issue. Modelling behaviour and the formation of habits using established theoretical psychological f...

Data-driven models with weak theoretical foundations for the examination of interventions and concepts to improve and maintain health lack explainability of results and suggestions. The use of agent-based models is a possible approach to remedy this issue. Modelling behaviour and the formation of habits using established theoretical psychological f...

During the COVID-19 pandemic, a rise of (agent-based) simulation models for predicting future developments and assessing intervention scenarios has been observed. At the same time, dashboarding has become a popular way to aggregate and visualise large quantities of data. The AScore Pandemic Management Cockpit brings together multiagent-based simula...

Multi-agent based systems offer the possibility to examine the effects of policies down to specific target groups while also considering the effects on a population-level scale. To examine the impact of different schooling strategies, an agent-based model is used in the context of the COVID-19 pandemic using a German city as an example. The simulat...

GAM, combining games and agent-based models, shows potential for investigating complex social phenomena. Games offer engaging environments generating insights into social dynamics, perceptions, and behaviours, while agent-based models support the analysis of complexity. Games and agent-based models share the important ability both to input and outp...

According to the Out-of-Africa theory, humans originated in Africa and from there expanded into Eurasia. Besides entering Eurasia via a terrestrial route, humans may have used sea straits. These routes would have shaped the subsequent expansions in Eurasia. Sea straits, in particular, are an additional option for entering Eurasia. However, the chan...

[This corrects the article DOI: 10.1371/journal.pone.0252885.].

Managing the COVID-19 pandemic is a major challenge for decision-makers in crisis staffs, especially on a regional level. Decisions on intervention measures to contain a pandemic must be made promptly and under uncertainty. The project AScore aims at supporting decision-makers by means of an information management cockpit that intertwines smart cit...

Understanding hominin expansions requires the comprehension of movement processes at different scales. In many models of hominin expansion these processes are viewed as being determined by large-scale effects, such as changes in climate and vegetation spanning continents and thousands or even millions of years. However, these large-scale patterns o...

Collaboration between humans and digital systems is increasingly taking place as a team-based interaction process. The use of digital systems as simple "tools" in the course of automation is changing to the effect that digital systems can now be understood as autonomous actors in socio-digital teams. To establish trust and acceptance in the form of...

Due to demographic change, there is an increasing demand for professional care services, whereby this demand cannot be met by available caregivers. To enable adequate care by relieving informal and formal care, the independence of people with chronic diseases has to be preserved for as long as possible. Assistance approaches can be used that suppor...

In multiagent organizations, the coordination of problem-solving capabilities builds the foundation for processing complex tasks. Roles provide a structured approach to consolidate task-processing responsibilities. However, designing roles remains a challenge since role configurations affect individual and team performance. On the one hand, roles c...

In organizations the distribution of tasks is a rising challenge in complex and dynamic environments. By structuring responsibilities and expectations for task processing in roles, organizations provide a transparent approach for collaboration. However, if tasks are being generated unexpectedly, actors who enact multiple roles might be overloaded i...

Emergency response teams have to decide fast on appropriate actions to be taken under high cognitive workload and stress. Psychological research shows that their ability to cope with that workload and avoid critical mistakes depends on whether a team assigns its tasks to predominantly specialist members or whether all team members are generalists h...

Purpose: One of the central ideas of Industry 4.0 is to increase flexibility. This involves collaboration of artificial decision-makers (intelligent agents) and human workers in cyber-physical social systems (CPSS). Information systems supporting those work processes must become cyber production management systems to provide knowledge for socio-dig...

Spreading information through social media can be beneficial in crisis situations as well as harmful for a person's or company's reputation. Which and how information is spread depends on network structures and individual behaviors. Simulation-based methods are suitable to systematically explore potential system behavior, its potentials, and its ri...

In times of Big Data and Industry 4.0, organizational information as well as knowledge availability and quantity are driving complex decision-making tasks. Especially for AI systems, increasing knowledge-bases for elaborate computations lead to a lower efficiency of their inference mechanisms. In contrast to AI, bounded cognitive capacity is a well...

Dieser Beitrag untersucht mikrosimulative Verfahren als Alternative für Makrosimulationsansätze zur Planung lokaler pflegerischer Versorgung. Dazu wird eine realitätsnahe georeferenzierte synthetische Population auf Personenebene anhand der Kreise Trier und Trier-Saarburg erzeugt. Diese wird durch die Kombination einer dynamischen Mikrosimulation m...

Social contagion is a process in which the behavior of a social group spreads across a population. We model and analyze this phenomenon with respect to fertility in an agent-based social simulation study. Our model integrates personal motivations for having children and social influences to allow for quantifying their respective impact on fertile b...

This paper reports on agent-based simulation as a social analysis method. It describes the goals, scenario, tasks, and the modeling procedure of a teaching example for understanding effects of inequality in the context of the Irish famine of 1845–52. Furthermore, it outlines further research questions resulting from the authors’ experiences with te...

Current trends like the digital transformation and Industry 4.0 are challenging logistics management: flexible process development and optimization has been a primary concern in research in the last two decades. However, flexibility is limited by its underlying distribution of action and task knowledge. Thus, our objective is to develop an approac...

This paper reports on agent-based simulation as a social analysis method. It describes the goals, scenario, tasks, and the modeling procedure of a teaching example for understanding effects of inequality in the context of the Irish famine of 1845–52. Furthermore, it outlines further research questions resulting from the authors’ experiences with te...

Current trends, like digital transformation and ubiquitous computing, yield in massive increase in available data and information. In artificial intelligence (AI) systems, capacity of knowledge bases is limited due to computational complexity of many inference algorithms. Consequently, continuously sampling information and unfiltered storing in kno...

Social contagion is a process in which the behavior of a social group spreads across a population. We model and analyze this phenomenon with respect to fertility in an agent-based social simulation study. Our model integrates personal motivations for having children and social influences to allow for quantifying their respective impact on fertile b...

Personal and professional communication increasingly take place on online platforms like Facebook, Twitter, and Google+. This trend is accompanied by new forms of communication and novel communication dynamics which can no longer be analyzed using conventional methods only. By means of agent-based social simulation, actors in social media can be mo...

Keynote speech on how to include sociological and psychological theory in agent-based social simulation.

Analyzing human behavior in organizational structures becomes more difficult due to a rising complexity of teamwork processes and interdependencies between team members. The pa- per proposes an interdisciplinary approach of agent-based model- ing and laboratory experiments from organizational psychology to overcome the shortcomings of each discipli...

The Fourth International Conference on Human and Social Analytics (HUSO 2018), held between June 24, 2018 and June 28, 2018 in Venice, Italy, aimed at bridging the concepts and the communities dealing with emotion-driven systems, sentiment analysis, personalized analytics, social human analytics, and social computing. The recent development of soc...

Agent-based social simulation has become a well-established research technique in computational social science. It complements network-theoretic and kinematics-inspired approaches to analysing emergent properties and effects in complex systems. To that end, intelligent agents provide information-processing, decision-making, and social interaction c...

Multiagent systems serve as an enabling technique for modern manufacturing and logistics applications; e.g., in “Industry 4.0”. However, these settings require agents to coordinate their actions in a complex environment. This gives rise to the following questions: How can autonomous agents coordinate their distributed activities a) with incomplete...

In simulation studies, the goal specifies the objective or purpose of the study and thus drives the entire experimentation process. Relevant experiments and respective experiment hypotheses are derived from the study’s goal and the model’s observed behavior provides evidence whether these hypotheses hold. Current assistance systems do not integrate...

Demographic change leads to an increasing demand of health care services. To provide the required services at the right locations, methods for forecasting future demands are needed. The goal of this research is to combine two different simulation techniques to forecast future care service demands. On the one hand, forecasts of demographic change ar...

Today’s workplace is driven by a high amount of available information and hereby the complexity of work processes increases. In this context the project AdaptPRO uses an interdisciplinary approach from business informatics and business psychology to analyze, model and simulate the concept of intentional forgetting by reorganizing roles and processe...

The modern workplace is driven by a high amount of available information which can be observed in various domains, e.g., in Industry 4.0. Hence, the question arises: Which competences do actors need to build and efficient work environment? This paper proposes an simulation-based optimization approach to adapt role configurations for team work scena...

Social media like Facebook, Twitter, or Google+ have become important communication channels. Nonetheless, the distribution and dynamics of that communication make it difficult to analyze and understand. To overcome this, we propose an agent architecture for modeling and simulating user behavior to analyze communication dynamics in social media. Ou...

The Third International Conference on Human and Social Analytics (HUSO 2017), held between July 23 - 27, 2017 - Nice, France continued the inaugural event bridging the concepts and the communities dealing with emotion-driven systems, sentiment analysis, personalized analytics, social human analytics, and social computing. The recent development of...

Social media like Facebook, Twitter, or Google+ have become predominant means of communication. However, their distributed structure and dynamic interaction processes make it difficult to analyze and understand that communication. Thus, we propose agent-based modeling and simulation of user behavior for analyzing communication dynamics in social me...

The omnipresence of information technology and the increasing popularity of online social networks (OSN) has led to a change in communication behavior. While companies benefit from this, i.e., through viral marketing campaigns, they are also challenged by negative phenomena, like Twitterstorms. However, existing empirical approaches and theories fo...

This book constitutes the proceedings of the 15th German Conference on Multiagent System Technologies, MATES 2017, held in Lepzig, Germany, in August 2017. The 17 full papers presented in this volume were carefully reviewed and selected from 24 submissions for inclusion in the proceedings. Over these 15 years, the MATES conference series has been a...

Today’s digital workplaces are characterized by an increase in the amount of required knowledge as well as available information for teams of co-workers. Hence, the question arises: Which knowledge is necessary for team members to effectively and efficiently conduct their tasks in a given work context? To support the design and management of flexib...

Due to the omnipresence of information technology and the increasing popularity of online social networks (OSN), communication behavior has changed. While companies benefit from, i.e., viral marketing campaigns, they are challenged by negative phenomena, like Twitterstorms. Using existing empirical approaches and theories for analyzing the dynamics...

Software agents are a well-established approach for modeling autonomous entities in distributed artificial intelligence. Iterated negotiations allow for coordinating the activities of multiple autonomous agents by means of repeated interactions. However, if several agents interact concurrently, the participants’ activities can mutually influence ea...

Software agents are a well-established approach for modeling autonomous entities in distributed artificial intelligence. Iterated negotiations allow for coordinating the activities of multiple autonomous agents by means of repeated interactions. However, if several agents interact concurrently, the participants’ activities can mutually influence ea...

Multiagent systems serve as an enabling technique for modern manufacturing and logistics applications; e.g., in “Industry 4.0”. However, these settings require agents to coordinate their actions in a complex environment. This gives rise to the following questions: How can autonomous agents coordinate their distributed activities a) with incomplete...

This paper examines multi-agent coordination for resource allocation tasks in autonomous logistics processes. It identifies requirements for the learning of optimal behavior in a multi-agent setting. Based on a real-world logistics application, the paper distinguishes between single resource allocation by independent agents and joint activities by...

Logistics networks face the contradictory requirements of achieving high operational effectiveness and efficiency while retaining the ability to adapt to a changing environment. Changing customer demands and network participants entering or leaving the system cause these dynamics and hamper the collection of information which is necessary for effic...

Iterated negotiations are a well-established method for coordinating distributed activities in multiagent systems. However, if several of these take place concurrently, the participants' activities can mutually influence each other. In order to cope with the problem of interrelated interaction outcomes in partially observable environments, we apply...

Agent coordination is a fundamental task in designing and operating multiagent systems. However, in dynamically changing environments, coordination must balance proactive and reactive behaviors in order to enable efficient operations while retaining the necessary flexibility to react to unforeseen events. This paper introduces adaptive agent relati...

Supply networks are faced with the contradictory requirements of achieving high operational efficiency while retaining the ability to adapt to a changing environ- ment. Decentralized approaches representing logistics entities by autonomous artificial agents must therefore be enabled to structure and operate supply net- works efficiently according...

Autonomous control in logistics decreases the computational effort for process control by problem decomposition. To this end, decision-making is delegated to the participating logistics entities. The more process control is decentralised the more interaction effort arises for coordinating the participants for efficient resource utilisation. This in...

Supply networks are faced with the contradictory requirements of achieving high operational efficiency while retaining the ability to adapt to a changing environment. Decentralized approaches representing logistics entities by autonomous artificial agents must therefore be enabled to structure and operate supply networks efficiently according to th...

In dieser Arbeit befassen wir uns innerhalb dieses Problemfeldes mit dem Aspekt der Wissensrepräsentation. Aufgrund der Situiertheit eines rationalen Agenten in einer dynamischen Umgebung ergibt sich die Frage nach einer Repräsentation des Wissens über diese Umgebung, die eine angemessene Deliberation über die Vorgänge in der betreffenden Welt gest...

3: Informatik Zusammenfassung Diese Arbeit beschäftigt sich mit der Modellierung von Unsicherheit auf Basis der Dempster-Shafer Theorie. Sie gibt eine Einführung in Begriffe der Agenten-Programmierung, sowie der Grundlagen der Dempster-Shafer Theorie. Im Kern wird ein Paper von Kwisthout und Dastani behandelt, welches Modifikationen die-ser Theorie...