From supply chains to demand networks. Agents in retailing: the electrical bazaar

A paradigm shift is taking place in logistics. The focus is changing from operational effectiveness to adaptation. Supply Chains will develop into networks that will adapt to consumer demand in almost real time. Time to market, capacity of adaptation and enrichment of customer experience seem to be the key elements of this new paradigm. In this environment emerging technologies like RFID (Radio Frequency ID), Intelligent Products and the Internet, are triggering a reconsideration of methods, procedures and goals. We present a Multiagent System framework specialized in retail that addresses these changes with the use of rational agents and takes advantages of the new market opportunities. Like in an old bazaar, agents able to learn, cooperate, take advantage of gossip and distinguish between collaborators and competitors, have the ability to adapt, learn and react to a changing environment better than any other structure. Keywords: Supply Chains, Distributed Artificial Intelligence, Multiagent System.Postprint (published version

Options for Economic Growth in Mali through the Application of Science and Technology to Agriculture

Prepared For The United States Agency for International Development Initiative To End Hunger In Africafood security, food policy, Mali science and technology research, research and extension, International Development, Q18,

A Framework for Developing Educational Psychologists’ Consultation Practice

Consultation is one of the five key functions of educational psychologists’ (EPs’) practice, and yet the profession’s understanding of its practical and psychological complexity has resulted in a lack of clarity and consensus around its definition and application. The current systematic literature review sought to consider how EPs are using consultation within their current practice to support children and young people. Ten papers were included in the final synthesis, following strict inclusion/exclusion criteria and reported using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Papers were assessed for consultation quality, regardless of methodological design, using a consultation analysis framework developed from National Association of School Psychology (NASP) guidelines, with key descriptive and evaluative information reported. The NASP consultation framework provided a clear outline of strengths and weaknesses within current practice and offers a practical and accessible model for supporting consultative EP practice. Implications for practice emerge, alongside a consideration of the limitations of the review and future directions for research

Datalog± Ontology Consolidation

Knowledge bases in the form of ontologies are receiving increasing attention as they allow to clearly represent both the available knowledge, which includes the knowledge in itself and the constraints imposed to it by the domain or the users. In particular, Datalog ± ontologies are attractive because of their property of decidability and the possibility of dealing with the massive amounts of data in real world environments; however, as it is the case with many other ontological languages, their application in collaborative environments often lead to inconsistency related issues. In this paper we introduce the notion of incoherence regarding Datalog± ontologies, in terms of satisfiability of sets of constraints, and show how under specific conditions incoherence leads to inconsistent Datalog ± ontologies. The main contribution of this work is a novel approach to restore both consistency and coherence in Datalog± ontologies. The proposed approach is based on kernel contraction and restoration is performed by the application of incision functions that select formulas to delete. Nevertheless, instead of working over minimal incoherent/inconsistent sets encountered in the ontologies, our operators produce incisions over non-minimal structures called clusters. We present a construction for consolidation operators, along with the properties expected to be satisfied by them. Finally, we establish the relation between the construction and the properties by means of a representation theorem. Although this proposal is presented for Datalog± ontologies consolidation, these operators can be applied to other types of ontological languages, such as Description Logics, making them apt to be used in collaborative environments like the Semantic Web.Fil: Deagustini, Cristhian Ariel David. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; ArgentinaFil: Martinez, Maria Vanina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; ArgentinaFil: Falappa, Marcelo Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; ArgentinaFil: Simari, Guillermo Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; Argentin

Age Minimization in Massive IoT via UAV Swarm: A Multi-agent Reinforcement Learning Approach

In many massive IoT communication scenarios, the IoT devices require coverage from dynamic units that can move close to the IoT devices and reduce the uplink energy consumption. A robust solution is to deploy a large number of UAVs (UAV swarm) to provide coverage and a better line of sight (LoS) for the IoT network. However, the study of these massive IoT scenarios with a massive number of serving units leads to high dimensional problems with high complexity. In this paper, we apply multi-agent deep reinforcement learning to address the high-dimensional problem that results from deploying a swarm of UAVs to collect fresh information from IoT devices. The target is to minimize the overall age of information in the IoT network. The results reveal that both cooperative and partially cooperative multi-agent deep reinforcement learning approaches are able to outperform the high-complexity centralized deep reinforcement learning approach, which stands helpless in large-scale networks

Aquaculture Asia, Vol. 10, No. 4, pp.1-42, October-December 2005

*Table of Contents* Sustainable aquaculture Peter Edwards writes on rural aquaculture: Small-scale pond culture in Bangladesh. People in aquaculture Community based aquaculture - issues and challenges H.K. De and G.S. Saha. Aquaculture as an action programme: An exercise in building confidence and self worth. B. Shanthi, V.S. Chandrasekaran, M. Kailasam, M. Muralidar, T. Ravisankar,.C. Saradad and M. Krishnan The STREAM Column: Transforming policy recommendations into pro-poor service provision Graham Haylor. Research & farming techniques. Grow out of juvenile spotted Babylon to marketable size in earthen ponds II: Polyculture with seabass. S. Kritsanapuntu, N. Chaitanawisuti, W. Santhaweesuk and Y. Natsukari Asia-Pacific Marine Finfish Aquaculture Network. Influence of economic conditions of importing nations and unforeseen global events on grouper markets. Sih Yang Sim. Present status of hatchery technology for cobia in Vietnam. Nhu Van Can. Report on grouper hatchery training course in Indonesia. Nguyen Quoc Thai. Aquatic animal health. Biosecured and improved penaeid shrimp production through organic nursery raceway system in India. Felix. S. and M. Samaya Kannan. Management of monogenean parasites in brackishwater finfish. K.P. Jithendran, M. Natarajan and I.S. Azad. Vembanad Lake: A potential spawner bank of the giant freshwater prawn Macrobrachium rosenbergii on the southwest coast of India. Paramaraj Balamurugan, Pitchaimuthu Mariappan & Chellam Balasundaram

Pragmatic Communication in Multi-Agent Collaborative Perception

Collaborative perception allows each agent to enhance its perceptual abilities by exchanging messages with others. It inherently results in a trade-off between perception ability and communication costs. Previous works transmit complete full-frame high-dimensional feature maps among agents, resulting in substantial communication costs. To promote communication efficiency, we propose only transmitting the information needed for the collaborator's downstream task. This pragmatic communication strategy focuses on three key aspects: i) pragmatic message selection, which selects task-critical parts from the complete data, resulting in spatially and temporally sparse feature vectors; ii) pragmatic message representation, which achieves pragmatic approximation of high-dimensional feature vectors with a task-adaptive dictionary, enabling communicating with integer indices; iii) pragmatic collaborator selection, which identifies beneficial collaborators, pruning unnecessary communication links. Following this strategy, we first formulate a mathematical optimization framework for the perception-communication trade-off and then propose PragComm, a multi-agent collaborative perception system with two key components: i) single-agent detection and tracking and ii) pragmatic collaboration. The proposed PragComm promotes pragmatic communication and adapts to a wide range of communication conditions. We evaluate PragComm for both collaborative 3D object detection and tracking tasks in both real-world, V2V4Real, and simulation datasets, OPV2V and V2X-SIM2.0. PragComm consistently outperforms previous methods with more than 32.7K times lower communication volume on OPV2V. Code is available at github.com/PhyllisH/PragComm.Comment: 18 page