Browsing by Subject "Agent <Künstliche Intelligenz>"

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A hybrid model of electronic negotiation : integration of negotiation support and automated negotiation models
(2008) Rehman, Moez ur; Schoop, Mareike
Electronic business negotiations are enabled by different electronic negotiation models: automated negotiation models for software agents, negotiation support models for human negotiators, and auction models for both. To date, there is no electronic negotiation model that enables bilateral multi-issue negotiations between a human negotiator and a negotiation agent?an important task in electronic negotiation research. In this thesis, a model is presented that integrates the automated negotiation model and the negotiation support model. The resulting hybrid negotiation model paves the way for human-agent business negotiations. The integration of two models is realised at the levels of negotiation process, communication support and decision making. To this end, the negotiation design, negotiation process, negotiation decision making, and negotiation communication in negotiation support systems (NSSs) and agent negotiation systems (ANSs) are studied and analysed. The analyses on these points help in strengthening the motivation behind hybrid negotiation model and setting aims for the integration of an NSS and an ANS in hybrid negotiation model. We mainly propose a human-agent negotiation design, negotiation process protocols to support the design, a hybrid communication model for human-agent interaction, an agent decision-making model for negotiation with human, and a component for interoperability between NSS and ANS. The agent decision-making model is composed of heuristic and argumentation-based negotiation techniques. It is proposed after analysing different automated negotiation models for different human negotiation strategies. The proposed communication model supports human negotiator and negotiation agent to understand and process negotiation messages from each other. This communication model consists of negotiation ontology, a wrapper agent, and a proper selection of an agent communication language (ACL) and a content language. The wrapper agent plays a role for interoperability between agent system and NSS by providing a communication interface along with the negotiation ontology. The negotiation ontology, ACL and agent content language make the communication model of negotiation agent in ANS. The proposed hybrid model is realised by integrating an ANS into NSS Negoisst. The research aim is to show that a hybrid negotiation system, composed of two heterogeneous negotiation models, can enable human-agent multi-issue integrative negotiations.
Interdependenzen zwischen Planungsproblemen : ein multiagentenbasierter Koordinationsansatz
(2016) Schüle, Michael; Kirn, Stefan
In this thesis, interdependencies of planning problems in a supply chain in the context of a civil engineering logistic scenario are analysed. In this construction site scenario there are - within the scheduling of activities - the resource-constrained project scheduling problem (RCPSP) and - within the spatial distribution of activities - the asymmetric traveling salesman problem (ATSP) in an interdependence. The required coordination in order to resolve the impact caused by interdependencies of several planning is address as the core problem in this work. Since the individual planning processes do not consider the optimality of the planning of the respective other planning problem, there arise potentially in terms of the overall system and its objective function from the optimum material deviated solutions, although the isolated solutions of partial problems are optimally possibly. The coordination problem is exacerbated by the asymmetric distribution of information through the supply chain. From the perspective of the supply chain, this has the consequence that the service providers must be closely integrated as autonomous actors throughout all levels of the supply chain. In this context of the contractual relationship between the service providers with potentially different interests the coordination problem is extended to the coordination effort between the potentially autonomous providers. This decentralized decision situation must therefore be considered in the coordination of planning. Thereby software agents provide a suitable approach to represent autonomous, distributed, decentralized logistics systems. Especially the field of agent-based decentralized coordination for decentralized planning of decentralized plans offers this work a perspective to develop an approach for the coordination problem. Specifically, the agent-based coordination approach of the generalized partial global planning (GPGP) is used for the planning and coordination tasks, in which both the process of planning as well as the result of planning is distributed. Based on this method, a coordination approach along the interaction protocol engineering process model is developed. The result represents a coordination protocol. The evaluation is performed using the method of simulation as part of a multi-agent simulation. The simulation model is a reduced version of the construction site scenario. The aim of the simulation is to show that the presented multi-agent system and developed coordination protocol (1) are suitable for the optimization of the interdependent planning problems and (2) showing a sound system behaviour.