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Author: David Ching-Wey Han Publisher: ISBN: Category : Languages : en Pages : 276
Book Description
Agents, by definition, (1) are situated in an environment upon which their actions affect changes and (2) have some level of autonomy from the control of humans or other agents. Being situated requires that the agent have a mechanism for sensing the environment as well as actuators for changing the environment. Autonomy implies that each agent has the freedom to make their own decisions. Rational agents are those agents that decide to execute actions that are in their "best interests" according to their desires, using a model of those desires on which they make those decisions. Action selection is complicated due to uncertainty when operating in a dynamic environment or where other actors (agents) can also influence the environment. This dissertation presents an action selection framework and algorithms that are (1) rational with respect to multiple desires and (2) responsive with respect to changing desires. Agents can use the concept of commitments, and the subsequent communication of those commitments, to coordinate their actions and reduce their uncertainty. Coordination is layered on top of this framework by describing and analyzing how commitments affect the agents' desires in their action selection models. This research uses the domain of UAV surveillance to experimentally explore the balance between under-commitment and over-commitment. Where previous approaches concentrate on the semantics of commitment, this research concentrates on the pragmatics of commitment, describing how to use utility calculations to enable an agent to decide when making a commitment is in its best interests.
Author: David Ching-Wey Han Publisher: ISBN: Category : Languages : en Pages : 276
Book Description
Agents, by definition, (1) are situated in an environment upon which their actions affect changes and (2) have some level of autonomy from the control of humans or other agents. Being situated requires that the agent have a mechanism for sensing the environment as well as actuators for changing the environment. Autonomy implies that each agent has the freedom to make their own decisions. Rational agents are those agents that decide to execute actions that are in their "best interests" according to their desires, using a model of those desires on which they make those decisions. Action selection is complicated due to uncertainty when operating in a dynamic environment or where other actors (agents) can also influence the environment. This dissertation presents an action selection framework and algorithms that are (1) rational with respect to multiple desires and (2) responsive with respect to changing desires. Agents can use the concept of commitments, and the subsequent communication of those commitments, to coordinate their actions and reduce their uncertainty. Coordination is layered on top of this framework by describing and analyzing how commitments affect the agents' desires in their action selection models. This research uses the domain of UAV surveillance to experimentally explore the balance between under-commitment and over-commitment. Where previous approaches concentrate on the semantics of commitment, this research concentrates on the pragmatics of commitment, describing how to use utility calculations to enable an agent to decide when making a commitment is in its best interests.
Author: Michal Pechoucek Publisher: Springer Science & Business Media ISBN: 3764385715 Category : Computers Languages : en Pages : 175
Book Description
This collection of recently published and refereed papers comes from workshops and colloquia held over the last two years. The papers describe the development of command and control systems, military communications systems, information systems, surveillance systems, autonomous vehicles, simulators, and HCI. The collection provides for the first time an overview of the most significant advances in the technology of intelligent agents.
Author: Adam R. Bell Publisher: ISBN: Category : Aerial observation (Military science) Languages : en Pages : 73
Book Description
Uninhabited aerial vehicles, also called UAVs are currently controller by a combination of a human pilot at a remote location, and autopilot systems similar to those found on commercial aircraft. As UAVs transition from remote piloting to fully autonomous operation, control laws must be developed for the tasks to be performed. Flight control and navigation are low-level tasks that must be performed by the UAV in order to complete more useful missions. In the domain of persistent aerial surveillance, in which UAVs are responsible for locating and continually observing points of interest (POIs) in the environment, such a mission can be accomplished much more efficiently by groups of cooperating UAVs. To develop the controller for a UAV, a discrete-time, physics-based simulator was developed in which an initially random neural network controller could be evolved over successive generations to produce the desired output. Because of the inherent complexity of navigating and maintaining stable flight, a novel state space utilizing an approximation of the flight path length between the aircraft and its navigational waypoint is developed and implemented. In choosing the controller output as the net thrust of the aircraft from all control surfaces and impellers, a controller suitable for a wide range of UAV types is reached. To develop a controller for each aircraft to cooperate in the persistent aerial surveillance domain, a behavior-based simulator was developed. Using this simulator, constraints on the flight dynamics are approximated to speed computation. Each UAV agent trains a neural network controller through successive episodes using sensory data about other aircraft and POIs. Testing of each controller was done by simulating in increasingly dynamic environments. The flight controller is shown to be able to successfully maintain heading and altitude and to make turns to ultimately reach a waypoint. The surveillance coordination controller is shown to coordinate UAVs well for both static and mobile POIs, and to scale well from systems of 3 agents to systems of 30 agents. Scaling of the controller to more agents is particularly effective when using a difference reward calculation in training the controllers.
Author: Hailong Huang Publisher: John Wiley & Sons ISBN: 1119870836 Category : Technology & Engineering Languages : en Pages : 276
Book Description
Autonomous Navigation and Deployment of UAVs for Communication, Surveillance and Delivery Authoritative resource offering coverage of communication, surveillance, and delivery problems for teams of unmanned aerial vehicles (UAVs) Autonomous Navigation and Deployment of UAVs for Communication, Surveillance and Delivery studies various elements of deployment of networks of unmanned aerial vehicle (UAV) base stations for providing communication to ground users in disaster areas, covering problems like ground traffic monitoring, surveillance of environmental disaster areas (e.g. brush fires), using UAVs in rescue missions, converting UAV video surveillance, and more. The work combines practical problems, implementable and computationally efficient algorithms to solve these problems, and mathematically rigorous proofs of each algorithm’s convergence and performance. One such example provided by the authors is a novel biologically inspired motion camouflage algorithm to covert video surveillance of moving targets by an unmanned aerial vehicle (UAV). All autonomous navigation and deployment algorithms developed in the book are computationally efficient, easily implementable in engineering practice, and based only on limited information on other UAVs of each and the environment. Sample topics discussed in the work include: Deployment of UAV base stations for communication, especially with regards to maximizing coverage and minimizing interference Deployment of UAVs for surveillance of ground areas and targets, including surveillance of both flat and uneven areas Navigation of UAVs for surveillance of moving areas and targets, including disaster areas and ground traffic monitoring Autonomous UAV navigation for covert video surveillance, offering extensive coverage of optimization-based navigation Integration of UAVs and public transportation vehicles for parcel delivery, covering both one-way and round trips Professionals in navigation and deployment of unmanned aerial vehicles, along with researchers, engineers, scientists in intersecting fields, can use Autonomous Navigation and Deployment of UAVs for Communication, Surveillance and Delivery to gain general knowledge on the subject along with practical, precise, and proven algorithms that can be deployed in a myriad of practical situations.
Author: Henry Hexmoor Publisher: Springer Science & Business Media ISBN: 9781402074028 Category : Computers Languages : en Pages : 304
Book Description
A clear trend in the study and design of autonomous agents during the late 1990s and early 2000s, has been a growing concern with being able to adjust the autonomy, particularly in the context of interactions between artificial intelligences and humans during space missions. The 11 papers present the state of the field, illustrate maturing trends ranging from analytical and formal approaches to concrete attempts and application problems, and challenge researchers to return to that old- time artificial intelligence. Representing and analyzing adaptive decision-making frameworks, obligations and cooperation as two sides of social responsibility, and policy-based agent directability are among the topics. Annotation (c)2003 Book News, Inc., Portland, OR (booknews.com).
Author: Tina Balke Publisher: Springer ISBN: 3319073141 Category : Computers Languages : en Pages : 384
Book Description
This book constitutes the thoroughly refereed proceedings of the 9th International Workshops on Coordination, Organizations, Institutions and Norms in Agent Systems, COIN 2013. The workshops were co-located with AAMAS 2013, held in St. Paul, MN, USA in May 2013, and with PRIMA 2013, held in Dunedin, New Zealand, in December 2013. The 18 full papers were carefully reviewed and selected from 28 submissions and are presented together with two invited papers. The papers are organized in topical sections such as coordination, organizations, institutions, norms, norm conflict, and norm-aware agents.
Author: Nick Bassiliades Publisher: Springer Nature ISBN: 3030664120 Category : Computers Languages : en Pages : 612
Book Description
This book constitutes the revised post-conference proceedings of the 17th European Conference on Multi-Agent Systems, EUMAS 2020, and the 7th International Conference on Agreement Technologies, AT 2020, which were originally planned to be held as a joint event in Thessaloniki, Greece, in April 2020. Due to COVID-19 pandemic the conference was postponed to September 2020 and finally became a fully virtual conference. The 38 full papers presented in this volume were carefully reviewed and selected from a total of 53 submissions. The papers report on both early and mature research and cover a wide range of topics in the field of autonomous agents and multi-agent systems.
Author: Lance Menthe Publisher: Rand Corporation ISBN: 083304494X Category : Political Science Languages : en Pages : 20
Book Description
The RAND Corporation's Collection Operations Model (COM) is a stochastic, agent-based simulation tool designed to support the analysis of command, control, communications, intelligence, surveillance, and reconnaissance (C3ISR) processes and scenarios. Written for the System Effectiveness Analysis Simulation modeling environment, the COM is used to study processes that require the real-time interaction of many players and to answer questions about force mix, system effectiveness, concepts of operations, basing and logistics, and capability-based assessment. It can represent thousands of autonomous, interacting platforms and explore the capabilities of a wide range of intelligence, surveillance, and reconnaissance assets. Through its flexible and friendly text-based input tables, the model represents a wide array of sensor capabilities, target properties, terrain and weather effects, and resource limitations. Its final output is a minute-by-minute account of each agent's changing operational picture. Since 2005, the COM has been used to model counterinsurgency, counterpiracy, and maritime surveillance scenarios and two major combat operations, and to study ad hoc collections, sensor cueing, dynamic retasking, and resource allocation. RAND has planned a number of upgrades to the COM, including the addition of space-based assets; a more robust model of sensor data fusion; communications modules that more accurately represent the advantages of a networked force; a more realistic representation of C3ISR workflow; sensor capability to generate false positives; and agent capability to practice deception. These extensions and enhancements are intended to result in a COM that can represent the entire C3ISR process specifically and network-centric operations in general.
Author: David Ching-Wey Han
Author: David Ching-Wey Han
Author: Michal Pechoucek
Author: Adam R. Bell
Author: Hailong Huang
Author: Henry Hexmoor
Author: Tina Balke
Author: Michael Boyle Johnson
Author: Mohamad Bdiwi
Author: Nick Bassiliades
Author: Lance Menthe