By Yves Demazeau, Franco Zambonelli, Juan M. Corchado, Javier Bajo (eds.)
This e-book constitutes the refereed complaints of the twelfth overseas convention on functional purposes of brokers and Multi-Agent structures, PAAMS 2014, held in Salamanca, Spain, in June 2014. The 12 revised complete papers and 14 brief papers have been conscientiously reviewed and chosen from fifty two submissions and are provided including 19 demonstrations. The papers document at the program and validation of agent-based types, tools, and applied sciences in a couple of key software components, together with: agent-oriented software program engineering, conversations, movement coordination and unmanned aerial automobiles, net and repair structures, robotics exploration, shrewdpermanent towns and infrastructures, and social systems.
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Extra info for Advances in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection: 12th International Conference, PAAMS 2014, Salamanca, Spain, June 4-6, 2014. Proceedings
Based on this model,  describes how collective intentions from the team formation stage are build-up using information-seeking speech act based dialogues. Moreover,  proposed an agent based dialogue system by providing dialogue acts for collaborative problem Task-Oriented Conversational Behavior for Collaboration 27 solving between a user and a system. In contrast, C2 BDI agents coordinate with team members not only at the beginning, but also during the realisation of the shared task. Recently,  have proposed a theoretical framework on proactive information exchange in agent teamwork to establish shared mental model using shared-plan .
The C2 BDI architecture takes advantage of these theories to establish common grounding and mutual awareness among human-agent team members. Numbers of human-agent team models have been proposed. Collagen agent  is built upon the human discourse theory and collaborates with a user to solve domain problems such as planning a travel itinerary. In , collaboration in teams are governed by teamwork notiﬁcation policies, where agents inform the user when an important event occurs. To achieve collaboration,  proposed a four stage model that includes (i) recognising potential for cooperation, (ii) team formation (iii) plan formation, and (iv) plan execution.
Example of a map and its distance grid. Numbers in grid cells show the nearest Manhattan distance to ‘occupied’ (black) cells. Negative values (‘-‘) depict ‘unknown’ areas in map. Once the distance grids are computed, the algorithm uses two counters – ‘sim’ for similar cells and ‘dis’ for dissimilar cells – to compute the map similarity for each cell type. It must be noted, that the cell must be of the currently considered cell type at least in one map to initiate comparison: ─ If a cell value is ‘unknown’ in either map, then no counters are increased.