Essa dissertação apresenta um mecanismo para incorporar autonomia de planejamento em modelos organizacionais multiagentes. Para tanto, propõe-se um modelo formal para representar a presença e ausência de autonomia de planejamento, utilizando dois tipos de objetivos: procedurais e declarativos. O modelo é implementado na plataforma JaCaMo na qual se realiza um estudo de caso de uma organização, onde coexistem agentes que possuem ou não possuem autonomia de planejamento. / This dissertation presents a mechanism to incorporate planning autonomy in multiagent organizational models. Therefore, we propose a formal model to represent presence or absence of planning autonomy, using two types of objectives: procedural and declarative ones. The model is implemented using the JaCaMo platform, in which an organization case study is proposed, where agents who have or do not have planning autonomy co-exist.

Essa dissertação apresenta um mecanismo para incorporar autonomia de planejamento em modelos organizacionais multiagentes. Para tanto, propõe-se um modelo formal para representar a presença e ausência de autonomia de planejamento, utilizando dois tipos de objetivos: procedurais e declarativos. O modelo é implementado na plataforma JaCaMo na qual se realiza um estudo de caso de uma organização, onde coexistem agentes que possuem ou não possuem autonomia de planejamento. / This dissertation presents a mechanism to incorporate planning autonomy in multiagent organizational models. Therefore, we propose a formal model to represent presence or absence of planning autonomy, using two types of objectives: procedural and declarative ones. The model is implemented using the JaCaMo platform, in which an organization case study is proposed, where agents who have or do not have planning autonomy co-exist.

The electric power systems in U.S. Navy ships supply energy to sophisticated systems for weapons, communications, navigation and operation. The reliability and survivability of the Shipboard Power System (SPS) are critical to the mission of a surface combatant ship, especially under battle conditions. In the event of battle, various weapons might attack a ship. When a weapon hits the ship it can cause severe damage to the electrical system on the ship. This damage can lead to de-energization of critical loads on a ship that can eventually decrease a ship’s ability to survive the attack. It is very important, therefore, to maintain availability of energy to the connected loads that keep the power systems operational. Technology exists that enables the detection of an incoming weapon and prediction of the geographic area where the incoming weapon will hit the ship. This information can then be used to take reconfiguration actions before the actual hit so that the actual damage caused by the weapon hit is reduced. The Power System Automation Lab (PSAL) has proposed a unique concept called "Predictive Reconfiguration" which refers to performing reconfiguration of a ship’s power system before a weapon hit to reduce the potential damage to the electrical system caused by the impending weapon hit. The concept also includes reconfiguring the electrical system to restore power to as much of the healthy system as possible after the weapon hit. This dissertation presents a new methodology for Predictive Reconfiguration of a Shipboard Power System (SPS). This probabilistic approach includes a method to assess the damage that will be caused by a weapon hit. This method calculates the expected probability of damage for each electrical component on the ship. Also a heuristic method is included, which uses the expected probability of damage to determine reconfiguration steps to reconfigure the ship’s electrical network to reduce the damage caused by a weapon hit. This dissertation also presents a modified approach for performing a reconfiguration for restoration after the weapon hits the system. In this modified approach, an expert system based restoration method restores power to loads de-energized due to the weapon hit. These de-energized loads are restored in a priority order. The methods were implemented using multi-agent technology. A test SPS model based on the electrical layout of a non-nuclear surface combatant ship was presented. Complex scenarios representing electrical casualties caused due to a weapon hit, on the test SPS model, were presented. The results of the Predictive Reconfiguration methodology for complex scenarios were presented to illustrate the effectiveness of the developed methodology.

This thesis shows that the mapping of semantics to syntax can be more complex than is generally assumed. In general, the mapping of semantics to syntax is thought to be many-to-one; for instance, many types of external argument roles are mapped to a subject position, and a theme or patient role is mapped to an object position. Contrary to this view, I show, by studying the syntax and semantics of external arguments, that one-to-one mapping between syntax and semantics is possible. External arguments are generally assumed to be introduced by a functional head, called Voice or v, regardless of the semantics of the argument, rather than being actual arguments of the verbs. A high Appl head similar to Voice has recently been argued to introduce external arguments as well as arguments of other semantic types. At present, no theories propose how these heads are distinguished in argument structure. This thesis articulates the differences between the external argument introducing heads and explores the consequences of these differences. Moreover, this thesis proposes a new type of event-related applicative, namely peripheral Appl. Like Voice and high Appl, peripheral Appl introduces an argument external to the verb phrase. The key differences among the external argument introducing heads are in their semantics as well as their syntactic position. Semantically, Voice is specified for agentivity, but high and peripheral Appls are specified for non-agentivity. Syntactically, high Appl merges below Voice, not above, while peripheral Appl can merge above Voice. An important result emerging from this thesis is that not all external arguments are treated in the same way in syntax: not only are agent and non-agent external argument roles mapped into different positions, but different types of non-agent roles are also mapped into different positions.

This thesis shows that the mapping of semantics to syntax can be more complex than is generally assumed. In general, the mapping of semantics to syntax is thought to be many-to-one; for instance, many types of external argument roles are mapped to a subject position, and a theme or patient role is mapped to an object position. Contrary to this view, I show, by studying the syntax and semantics of external arguments, that one-to-one mapping between syntax and semantics is possible. External arguments are generally assumed to be introduced by a functional head, called Voice or v, regardless of the semantics of the argument, rather than being actual arguments of the verbs. A high Appl head similar to Voice has recently been argued to introduce external arguments as well as arguments of other semantic types. At present, no theories propose how these heads are distinguished in argument structure. This thesis articulates the differences between the external argument introducing heads and explores the consequences of these differences. Moreover, this thesis proposes a new type of event-related applicative, namely peripheral Appl. Like Voice and high Appl, peripheral Appl introduces an argument external to the verb phrase. The key differences among the external argument introducing heads are in their semantics as well as their syntactic position. Semantically, Voice is specified for agentivity, but high and peripheral Appls are specified for non-agentivity. Syntactically, high Appl merges below Voice, not above, while peripheral Appl can merge above Voice. An important result emerging from this thesis is that not all external arguments are treated in the same way in syntax: not only are agent and non-agent external argument roles mapped into different positions, but different types of non-agent roles are also mapped into different positions.

Biopile and landfarming systems are ex situ technologies developed for the remediation of contaminated soils. In this study, laboratory degradation experiments and a combined full-scale landfarming and biopile system were operated for the remediation of diesel fuel-contaminated soils. The effectiveness of bulking agents (wood chips and rice hulls), inorganic nutrients (N and P), and biological agent on petroleum hydrocarbon biodegradation were also evaluated. The ratios of contaminated soils to bulking agents applied in the experiments were 1:0, 3:1, 6:1, and 10:1. The soil to bulking agent ratio of 10.7:1 was applied in the full-scale system. After 93 days of incubation, the highest reduction rate for total petroleum hydrocarbon - diesel (TPHd) removal was observed in the experiment with a soil to bulking agent ratio of 3:1. Results show that TPHd degradation trend followed a typical first-order degradation pattern. The calculated regression coefficient ranged from 0.008 ¡V 0.0129. Results also indicate that the addition of biological agent had a significant enhancement of TPHd removal. Results from the full-scale study show that the average TPHd concentrations from 5,544 mg/kg to 488 mg/kg after 231 days of operation. This implies that approximately 91.2% of TPHd removal was obtained. Field results show that temperature affected biodegradation rates, production of CO2, total hererotrophic bacterial biomass, and TPHd reduction efficiencies. Thus, temperature plays an important role for the operation of is biopile and landfarming systems.

The concept of knowledge management has become a critical issue in both academic and practical area. Organizations invest huge resources in knowledge management work in order to maintain long term competitive advantage. Therefore, how to use information technology to support knowledge management in an efficient way is a critical success factor in organizations adopting knowledge management. However, the running effect of knowledge management system does not achieve organizations¡¦ expectancy. The main reason is that knowledge management system is designed for unstable form of knowledge; developing information system in a structural way can not process this abstract knowledge effectively. For the reason, this research applies intelligent agent technique in developing knowledge management system, hoping to make use of intelligent agents¡¦ autonomy, communication ability, adaptability and mobility to raise the efficiency of knowledge management. This research analysis the general knowledge management works in order to find out the general knowledge management requirements. And then, this research also checks which requirements are suitable for intelligent agent to process. After integrating these requirements, this research proposes a complete intelligent agent based knowledge management system framework and a detail definition of each intelligent agent, and a set of message communication protocols between these intelligent agents.

The electric power systems in U.S. Navy ships supply energy to sophisticated systems for weapons, communications, navigation and operation. The reliability and survivability of the Shipboard Power System (SPS) are critical to the mission of a surface combatant ship, especially under battle conditions. In the event of battle, various weapons might attack a ship. When a weapon hits the ship it can cause severe damage to the electrical system on the ship. This damage can lead to de-energization of critical loads on a ship that can eventually decrease a ship’s ability to survive the attack. It is very important, therefore, to maintain availability of energy to the connected loads that keep the power systems operational. Technology exists that enables the detection of an incoming weapon and prediction of the geographic area where the incoming weapon will hit the ship. This information can then be used to take reconfiguration actions before the actual hit so that the actual damage caused by the weapon hit is reduced. The Power System Automation Lab (PSAL) has proposed a unique concept called "Predictive Reconfiguration" which refers to performing reconfiguration of a ship’s power system before a weapon hit to reduce the potential damage to the electrical system caused by the impending weapon hit. The concept also includes reconfiguring the electrical system to restore power to as much of the healthy system as possible after the weapon hit. This dissertation presents a new methodology for Predictive Reconfiguration of a Shipboard Power System (SPS). This probabilistic approach includes a method to assess the damage that will be caused by a weapon hit. This method calculates the expected probability of damage for each electrical component on the ship. Also a heuristic method is included, which uses the expected probability of damage to determine reconfiguration steps to reconfigure the ship’s electrical network to reduce the damage caused by a weapon hit. This dissertation also presents a modified approach for performing a reconfiguration for restoration after the weapon hits the system. In this modified approach, an expert system based restoration method restores power to loads de-energized due to the weapon hit. These de-energized loads are restored in a priority order. The methods were implemented using multi-agent technology. A test SPS model based on the electrical layout of a non-nuclear surface combatant ship was presented. Complex scenarios representing electrical casualties caused due to a weapon hit, on the test SPS model, were presented. The results of the Predictive Reconfiguration methodology for complex scenarios were presented to illustrate the effectiveness of the developed methodology.

The theory of Agency, specifically that developed by Jesen and Meckling (1976), will be the subject of examination. Agency theory has been the subject of extensive research since its introduction in modern form by Jensen and Meckling (1976). The generality of the theory of Agency appears unquestionable and it has been widely adopted. Surprisingly, however, the model correctly predicts particular phenomena under investigation in only the simplest of instances, and even in the simplest of instances there are cases where the simple agency model has limited success. Possible reasons for this failure may lie in the assumed universalist foundation and in the common formulation regarding agent behaviour, that all agents are self-interested rationalists seeking to maximise their own utility to the disregard of their principal's interest. While the hypothesis of self-interested rationalism may be apt in some contexts it may be misleading or inadequate in others. This is especially so when the narrow interpretations of self-interested rationalism are used. Human beings are more complex in their totality than can be represented in any parsimonious model. This is particularly a problem when model predictions are not empirically supported. Aspects omitted in a model may be a source of the misfit between prediction and observation. An extended conceptualisation and reformulation of agent behaviour is presented. An approach is developed that addresses the context of agent behaviour, the socio-environment within which the agent interacts. The context particularly refers to the institutional affiliations and interactions that influence agent behaviour through their belief structure (i.e., their Belief-Desire-Intention, BDI, model of rational action). Through the use of an institutional framework contextual analysis is incorporated into the theory of agency and ultimately agent behaviour. This agent is termed a socio-environmental rationalist agent (SERA) which is contrasted with the self-interested rationalist (SIR) agent in the existing agency literature. This research utilises an object-oriented approach to develop a simulation of the extended conceptualisation and reformulation of agent behaviour. Simulations investigate agent behaviours and outcomes at the micro (specifically through individualised SERA and SIR formulations) and macro (specifically through a multi-agent SERA community formulation in the context of the EU financial accounting harmonisation process) levels. Netlogo is the simulation tool through which this is attained. The simulation demonstrates how alternative formulations of rationality lead to different outcomes and these differences are evident at both levels. Importantly the extended model has outputs that are more in tune with current empirical evidence. The analysis thus demonstrates the plausibility of the extended conceptualisation and reformulation and the need to incorporate the context of behaviour more fully within the analysis of the principal-agent relationship. Through this extended examination of agent behaviour further theoretical and practical insights regarding the understanding of agent behaviour, the principal-agent problem and relationship, multi-agent communities, and of business and society in general may be attained. This dissertation provides one step in advancing our fundamental understanding of the principal-agent problem. The scope and power of agency analysis can be substantially extended using the approach and methods outlined, particularly beyond that present in existing Agency research.

Univ., Diss., 2008--Marburg.