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Thinking Inside the Box: Controlling and Using an
Thinking Inside the Box: Controlling and Using an

... great power in such a malevolent or indifferent manner that humanity goes extinct. The last possibility could occur due to badly formulated initial motivations or goals, or gradual evolution towards human-unfriendly behaviours (Omohundro 2008). In the space of possible motivations1, likely a very sm ...
The DL-Lite Family - Dipartimento di Informatica e Sistemistica
The DL-Lite Family - Dipartimento di Informatica e Sistemistica

... of constructs expressible in the knowledge base does not pose particular difficulties to TBox reasoning. Indeed, in spite of the simplicity of DL-Litecore TBoxes, the ability of taking TBox knowledge into account during the process of answering (unions of) conjunctive queries goes beyond the two-var ...
Intelligence by Design: Principles of Modularity and Coordination for
Intelligence by Design: Principles of Modularity and Coordination for

... All intelligence relies on search — for example, the search for an intelligent agent’s next action. Search is only likely to succeed in resource-bounded agents if they have already been biased towards finding the right answer. In artificial agents, the primary source of bias is engineering. This dis ...
Intelligence by Design - Department of Computer Science
Intelligence by Design - Department of Computer Science

... All intelligence relies on search — for example, the search for an intelligent agent’s next action. Search is only likely to succeed in resource-bounded agents if they have already been biased towards finding the right answer. In artificial agents, the primary source of bias is engineering. This dis ...
Intelligent Distributed Agent Based Architecture
Intelligent Distributed Agent Based Architecture

... architecture that facilitates coordination and a novel social networks based approach to coordination. The field of multi-agent system research is undergoing tremendous expansion and it would be impossible to address all the issues related to the field. Instead, this thesis focuses on the coordinati ...
Viewpoints AI
Viewpoints AI

... are symbols describing a discrete state of some part of the world. For example, HEIGHT(TALL) describes an interactor (human or AI) standing at full height, with related predicates HEIGHT(SHORT) or HEIGHT(MEDIUM). The Viewpoints AI system’s reasoning module (Decision Making from Figure 1) uses this s ...
Viewpoints
Viewpoints

... are symbols describing a discrete state of some part of the world. For example, HEIGHT(TALL) describes an interactor (human or AI) standing at full height, with related predicates HEIGHT(SHORT) or HEIGHT(MEDIUM). The Viewpoints AI system’s reasoning module (Decision Making from Figure 1) uses this s ...
types of anticipatory behaving agents in artificial life
types of anticipatory behaving agents in artificial life

... This is the physics of the body consisting from a liquid (blood), pipes (the various blood vessels), and a pump (the heart). We can understand the mechanism by taking a rubber tube with liquid inside and manipulating it. The pressure of the fluid varies as we change its position from horizontal to v ...
Multiagent Systems: A Survey from a Machine Learning Perspective
Multiagent Systems: A Survey from a Machine Learning Perspective

... assign control of those subtasks to different agents. The difficult problem of splitting a single agent’s time among different parts of a task solves itself. Thus, when the choice is between using a multiagent system or a single-agent system, MAS may be the simpler option. Of course there are some d ...
Game World Implementation of Artificial Recognition
Game World Implementation of Artificial Recognition

... Other tool used in AI field is Artificial Neural Networks (ANN). This concept consists of an interconnected group of defined artificial neurons that processes information using what is known as a connectionist approach. At this point, the work done by a group of researchers, among them Paul Werbos, ...
The Simulation of Action Strategies of Different Personalities
The Simulation of Action Strategies of Different Personalities

... Perception and situation assessment ..………………………….…… 69 Recognition and categorization ..…………………………………...…70 Belief, desire and intention ..……………………………..……………71 Reasoning ..……………………………………………………...………72 Planning ..…………………………………………………………..……73 Decision making and choice ..…………………………………..……..75 Predicti ...
An Investigation of the Cost and Accuracy Tradeoffs of Supplanting... in Query Processing in the Presence of Incompleteness in Autonomous...
An Investigation of the Cost and Accuracy Tradeoffs of Supplanting... in Query Processing in the Presence of Incompleteness in Autonomous...

... varying levels of incompleteness in the underlying databases in terms of missing attribute values. Existing approaches such as Query Processing over Incomplete Autonomous Databases (QPIAD) aim to mine and use Approximate Functional Dependencies (AFDs) to predict and retrieve relevant incomplete tupl ...
Enactive Artificial Intelligence
Enactive Artificial Intelligence

... Although there are of course significant differences between these criticisms, what they all generally agree on is that computational systems, as traditionally conceived by these authors, cannot account for the property of intentional agency. And without this property there is no sense in saying tha ...
Zachary Dodds Associate Professor of Computer Science Harvey
Zachary Dodds Associate Professor of Computer Science Harvey

... the prize of a Sony AIBO canine robot. Technical Achievement Award for Overall Excellence in a Fully Autonomous System across all AAAI robotics competition categories, by the four students listed above, at AAAI 2005. Third place, 2005 ACM Student research competition, undergraduate division: Kamil W ...
Pdf - Text of NPTEL IIT Video Lectures
Pdf - Text of NPTEL IIT Video Lectures

... Then, if you look at the aspect of determinism again environments can be divided into two or three types. Deterministic environments: In deterministic environments the next state of the environment is completely described by the current state and the agent’s action. When we looked at diagram of agen ...
PDF
PDF

... • a demonstration in the form of experimental results in two domains that structured intelligence can lead to robust and reactive behaviour, • a review of recent research results and paradigmatic trends within artificial intelligence, and • a similar examination of related research in natural intell ...
PDF file
PDF file

... universe. Other partitions may not necessarily be as intuitive and concise as the one defined here for our purpose. Table 1 gives some major muddiness factors, grouped into the above five categories. Let us examine the additional factors of muddiness. ...
Document
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... muMonSleep(100); searchlight_flag = false; Behaviour Routines ...
Risks and Mitigation Strategies for Oracle AI
Risks and Mitigation Strategies for Oracle AI

... other organs, the requirement of using biological materials) which do not exist for an artificial system. Beside different hardware an AI might employ more effective algorithms that cannot be implemented well in the human cognitive architecture (e.g. making use of very large and exact working memory ...
Compositional Design of a Generic Design Agent
Compositional Design of a Generic Design Agent

... The generic model of a design agent is based on both the generic agent model discussed in Section 2, and a generic model of the design task, used to model the agent specific task component. In this section the structure of this agent specific task component for a design agent is described. A Generic ...
as a PDF
as a PDF

... Recently, Burger (1985) proposed a four-step model outlining the relationship between desire for control and achievement behavior. People with high desire for control were found to have a higher aspiration level, to respond to challenges with increased effort, to persist longer at difficult tasks, a ...
The influence of robots on the human society
The influence of robots on the human society

... The origin of robotics has its source in the automations built in the pre-robotic period, as ...
PDF - Foundational Research Institute
PDF - Foundational Research Institute

... prediction of strong AI and can refer to several distinct sub-meanings. Like with most ideas, there’s a lot of fantasy and exaggeration associated with "the singularity," but at least the core idea that technology will progress at an accelerating rate for some time to come, absent major setbacks, is ...
query expansion using wordnet with a logical model - CiTIUS
query expansion using wordnet with a logical model - CiTIUS

... functions. Let us regard a query q as a logical theory and a document d as a new information. In the revision process q οD d, a measure of distance from a given document interpretation to the set of models of the query is defined. An important circumstance is that the semantics of this measure is ap ...
Autonomous Units
Autonomous Units

... Focus on the rational decision-making process under uncertain environments Agent can generate a series of actions to influence the evolution of a stochastic dynamic system Underlying control problem is often modeled as a Markov Decision Process (MDP). ...
1 2 3 4 5 ... 19 >

Adaptive collaborative control

Adaptive collaborative control is the decision-making approach used in hybrid models consisting of finite-state machines with functional models as subcomponents to simulate behavior of systems formed through the partnerships of multiple agents for the execution of tasks and the development of work products. The term “collaborative control” originated from work developed in the late 90’s and early 2000 by Fong, Thorpe, and Baur (1999). It is important to note that according to Fong et al. in order for robots to function in collaborative control, they must be self-reliant, aware, and adaptive. In literature, the adjective “adaptive” is not always shown but is noted in the official sense as it is an important element of collaborative control. The adaptation of traditional applications of control theory in teleoperations sought initially to reduce the sovereignty of “humans as controllers/robots as tools” and had humans and robots working as peers, collaborating to perform tasks and to achieve common goals. Early implementations of adaptive collaborative control centered on vehicle teleoperation. Recent uses of adaptive collaborative control cover training, analysis, and engineering applications in teleoperations between humans and multiple robots, multiple robots collaborating among themselves, unmanned vehicle control, and fault tolerant controller design.Like traditional control methodologies, adaptive collaborative control takes inputs into the system and regulates the output based on a predefined set of rules. The difference is that those rules or constraints only apply to the higher-level strategy (goals and tasks) set by humans. Lower tactical level decisions are more adaptive, flexible, and accommodating to varying levels of autonomy, interaction and agent (human and/or robotic) capabilities. Models under this methodology may query sources in the event there is some uncertainty in a task that affects the overarching strategy. That interaction will produce an alternative course of action if it provides more certainty in support of the overarching strategy. If not or there is no response, the model will continue performing as originally anticipated.Several important considerations are necessary for the implementation of adaptive collaborative control for simulation. As discussed earlier, data is provided from multiple collaborators to perform necessary tasks. This basic function requires data fusion on behalf of the model and potentially a need to set a prioritization scheme for handling continuous streaming of recommendations. The degree of autonomy of the robot in the case of human-robot interaction and weighting of decisional authority in robot-robot interaction are important for the control architecture. The design of interfaces is an important human system integration consideration that must be addressed. Due to the inherent varied interpretational scheme in humans, it becomes an important design factor to ensure the robot(s) are correctly conveying its message when interacting with humans.
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