Modeling Decentralized Organizational Change in Honeybee Societies

Multi-agent organizations in dynamic environments, need to have the ability to adapt to environmental changes to ensure a continuation of proper functioning. Such adaptations can be made through a centralized decision process or come from the individuals within the organization. In the domain of social insects, such as honeybees and wasps, organizations are known to adapt in a decentralized fashion to environmental changes. An organizational model for decentralized organizational change is presented that can aid in analyzing and designing such organizations. The model is specified by dynamic properties at different aggregation levels. At the lowest level such properties characterize the behavior of individual roles, which can be related to higher level properties that express important elements such as survival of an organization. A honeybee colony is used as a case study

Sting, Carry and Stock: How Corpse Availability Can Regulate de-Centralized Task Allocation in a Ponerine Ant Colony

We develop a model to produce plausible patterns of task partitioning in the ponerine ant Ectatomma ruidum based on the availability of living prey and prey corpses. The model is based on the organizational capabilities of a common stomach through which the colony utilizes the availability of a natural (food) substance as a major communication channel to regulate the income and expenditure of the very same substance. This communication channel has also a central role in regulating task partitioning of collective hunting behavior in a supply&demand-driven manner. Our model shows that task partitioning of the collective hunting behavior in E. ruidum can be explained by regulation due to a common stomach system. The saturation of the common stomach provides accessible information to individual ants so that they can adjust their hunting behavior accordingly by engaging in or by abandoning from stinging or transporting tasks. The common stomach is able to establish and to keep stabilized an effective mix of workforce to exploit the prey population and to transport food into the nest. This system is also able to react to external perturbations in a de-centralized homeostatic way, such as to changes in the prey density or to accumulation of food in the nest. In case of stable conditions the system develops towards an equilibrium concerning colony size and prey density. Our model shows that organization of work through a common stomach system can allow Ectatomma ruidum to collectively forage for food in a robust, reactive and reliable way. The model is compared to previously published models that followed a different modeling approach. Based on our model analysis we also suggest a series of experiments for which our model gives plausible predictions. These predictions are used to formulate a set of testable hypotheses that should be investigated empirically in future experimentation

Violating Social Norms when Choosing Friends: How Rule-Breakers Affect Social Networks

Social networks rely on basic rules of conduct to yield functioning societies in both human and animal populations. As individuals follow established rules, their behavioral decisions shape the social network and give it structure. Using dynamic, self-organizing social network models we demonstrate that defying conventions in a social system can affect multiple levels of social and organizational success independently. Such actions primarily affect actors' own positions within the network, but individuals can also affect the overall structure of a network even without immediately affecting themselves or others. These results indicate that defying the established social norms can help individuals to change the properties of a social system via seemingly neutral behaviors, highlighting the power of rule-breaking behavior to transform convention-based societies, even before direct impacts on individuals can be measured

Calling The Dead: Resilience In The WTC Communication Networks

Organizations in emergency settings must cope with various sources of disruption, most notably personnel loss. Death, incapacitation, or isolation of individuals within an organizational communication network can impair information passing, coordination, and connectivity, and may drive maladaptive responses such as repeated attempts to contact lost personnel (``calling the dead'') that themselves consume scarce resources. At the same time, organizations may respond to such disruption by reorganizing to restore function, a behavior that is fundamental to organizational resilience. Here, we use empirically calibrated models of communication for 17 groups of responders to the World Trade Center Disaster to examine the impact of exogenous removal of personnel on communication activity and network resilience. We find that removal of high-degree personnel and those in institutionally coordinative roles is particularly damaging to these organizations, with specialist responders being slower to adapt to losses. However, all organizations show adaptations to disruption, in some cases becoming better connected and making more complete use of personnel relative to control after experiencing losses

Redefining the Organizational Resilience Construct using a Frame Based Methodology : A New Perspective from the Ecology Based Approach

Open Access via the Elsevier AgreementPeer reviewedPostprin

Inspired Design: Using Interdisciplinarity And Biomimicry For Software Innovation

This thesis presents research and proposes a framework for increasing the breadth and depth of interdisciplinary knowledge in the field of computer science. The intent is to address an increasing problem of complexity in software and computing systems. The approach is to equip software developers and computer scientists with a contextual perspective and a set of strategies for injecting innovation and creativity into the solutions they design by leveraging knowledge and models outside the traditional realm of computer science. A review of current and historical forms of interdisciplinarity and biomimicry are presented to build that context. The strategies presented include interdisciplinary education, interdisciplinary collaboration, interdisciplinary tools, biomimetic design, and the creation of new pattern languages based on nature\u27s design solutions. Each of these strategies stems from and leads to an open exchange of knowledge across disciplinary boundaries. When taken together, the knowledge and strategies presented are intended to inspire and foster a paradigm that recognizes the value of human and natural diversity as a source of innovation

Scalability of multi-agent systems : proposal for a dissertation

This work proposes a generic approach for achieving scalability of multi-agent-systems (MAS). The key to reach that goal is to introduce a self-organization mechanism allowing systems to configure themselves to any application scale and nature. The work outlines such a mechanism, which can be introduced to any multi-agent system. Focus is put on two systems, InteRRaP and MECCA, and on two applications, the transportation domain, realized using InteRRaP agents, and a traffic telematics application modelled with MECCA agents. All systems and applications are briefly characterized in this work and relations to other fields of research are pointed out