How should tasks be allocated dynamically between people and intelligent machines? What are the initial issues? Previous work on static task allocation and work on human performance when multi-tasking and when interrupted provides suggestions on how to dynamically allocate tasks between humans and machines. We use these results to explore previous theories of task allocation. Some of these theo...

Problem statement: Cloud is purely a dynamic environment and the existing task scheduling algorithms are mostly static and considered various parameters like time, cost, make span, speed, scalability, throughput, resource utilization, scheduling success rate and so on. Available scheduling algorithms are mostly heuristic in nature and more complex, time consuming and does not consider reliabili...

Computer games are an increasingly popular form of entertainment. Typically, the quality of AI opponents in computer games leaves a lot to be desired, which poses many attractive challenges for AI researchers. In this respect, Turn-based Strategy (TBS) games are of particular interest. These games are focussed on high-level decision making, rather than low-level behavioural actions. Moreover, t...

The quality of AI opponents often leaves a lot to be desired, which poses many attractive challenges for AI researchers. In this respect, Turn-based Strategy (TBS) games are of particular interest. These games are focussed on high-level decision making, rather than low-level behavioural actions. For efficiently designing a TBS AI, in this paper we propose a game AI architecture named ADAPTA (Al...

Network-on-Chip (NoC) architecture is emerging as a practical interconnection architecture for future systems-on-chip products. In this paper, an energy-efficient static algorithm which optimizes the energy consumption of task communications in NoCs with voltage scalable links is proposed. In order to find optimal link speeds, the proposed algorithm (based on a genetic formulation) globally exp...

Distributed and dynamic task reallocation in multi-robot organization is motivated by the fact that most critical information for organizational performance must be obtained during problem solving and static techniques for task allocation cannot take the dynamic information into account. This paper presents Distributed Organizational Task Network (DOTN) as a representation for the problem, and ...

The Bandwidth Allocation Models (MAM, RDM, G-RDM and AllocTC-Sharing) are management alternatives currently available which propose different resource (bandwidth) allocation strategies in multiservice networks. The BAM adoption by a network is typically a management choice and configuration task executed by the network operations and management system setup in a static or nearly static way. Thi...

Nonlinear vehicle control allocation is achieved through distributing the task of vehicle control among individual tire forces, which are constrained to nonlinear saturation conditions. A highlevel sliding mode control with adaptive upper bounds is considered to assess the body yaw moment and lateral force for the vehicle motion. The proposed controller only requires the online adaptation of co...