Final Report.
... distributed simulation of that size and scale into an operational training environment. The problem is further complicated for systems such as the Joint Simulation System (JSIMS) that mandate much greater size and complexity than that achieved by STOW97 [Gajkowski98: STOW97 Lessons Learned]. To fit ...
... distributed simulation of that size and scale into an operational training environment. The problem is further complicated for systems such as the Joint Simulation System (JSIMS) that mandate much greater size and complexity than that achieved by STOW97 [Gajkowski98: STOW97 Lessons Learned]. To fit ...
1pp
... • There are two sources of complexity in AI tasks. • The first, which you, as computer scientists, should be familiar with, is computational complexity. We can solve useful problems in polynomial time, but most interesting AI problems — certainly the ones we looked at — are NP-hard. We will be cons ...
... • There are two sources of complexity in AI tasks. • The first, which you, as computer scientists, should be familiar with, is computational complexity. We can solve useful problems in polynomial time, but most interesting AI problems — certainly the ones we looked at — are NP-hard. We will be cons ...
Multi-Agent Path Finding with Kinematic Constraints
... events v and v 0 indicating that event v must be scheduled between LB(e) and U B(e) time units before event v 0 . We add two additional vertices. XS represents the start event and therefore has edges annotated with the STN bounds [0, 0] to all vertices without incoming edges. Similarly, XF represent ...
... events v and v 0 indicating that event v must be scheduled between LB(e) and U B(e) time units before event v 0 . We add two additional vertices. XS represents the start event and therefore has edges annotated with the STN bounds [0, 0] to all vertices without incoming edges. Similarly, XF represent ...
Methods for task allocation via agent coalition formation6
... algorithmic approach and concepts from operations research, with autonomous agents’ methods and distributed computing systems methods. The coalitions the agents form when using these algorithms are beneficial for systems of cooperative agents, as we show in this paper. We will concentrate on coaliti ...
... algorithmic approach and concepts from operations research, with autonomous agents’ methods and distributed computing systems methods. The coalitions the agents form when using these algorithms are beneficial for systems of cooperative agents, as we show in this paper. We will concentrate on coaliti ...
Implementing feedback in creative systems
... the generative codebase. This collection of patterns shows the likelihood of unexpected results coming out of the communication between author and critics. This suggests several guidelines for system development, which we will discussed in a later section. Further guidelines for structuring and part ...
... the generative codebase. This collection of patterns shows the likelihood of unexpected results coming out of the communication between author and critics. This suggests several guidelines for system development, which we will discussed in a later section. Further guidelines for structuring and part ...
An Intelligent Distributed System for Strategic Decision Making
... often generates incoherent and contradictory hypotheses and actions. Therefore, the main problem is to find a way to achieve coherence and coordination among decisions made locally by different agents, at different levels. A variety of knowledge-based systems have been developed to model strategic p ...
... often generates incoherent and contradictory hypotheses and actions. Therefore, the main problem is to find a way to achieve coherence and coordination among decisions made locally by different agents, at different levels. A variety of knowledge-based systems have been developed to model strategic p ...
Intelligent agent - Personal Web Pages
... ”Autonomous agents are computational systems that inhabit some complex dynamic environment, sense and act autonomously in this environment, and by doing so realize a set of goals or tasks for which they are designed”. ...
... ”Autonomous agents are computational systems that inhabit some complex dynamic environment, sense and act autonomously in this environment, and by doing so realize a set of goals or tasks for which they are designed”. ...
Implementing feedback in creative systems: A - CEUR
... can be difficult for humans and poses a range of challenges for computers – but also promises some interesting results. ...
... can be difficult for humans and poses a range of challenges for computers – but also promises some interesting results. ...
Preference Modeling and Preference Elicitation: an - CEUR
... systems for decision support (for example, in medicine) and robotics. Artificial intelligence has been dealing with preferences for quite some time. In order to get closer to the goal of realizing autonomous agents that can decide and act on behalf of humans, formal tools are needed in order to mode ...
... systems for decision support (for example, in medicine) and robotics. Artificial intelligence has been dealing with preferences for quite some time. In order to get closer to the goal of realizing autonomous agents that can decide and act on behalf of humans, formal tools are needed in order to mode ...
AAAI Proceedings Template
... commonly used test of intelligence. The literature suggests a variety of problem-solving methods for addressing RPM problems. For a graduate-level artificial intelligence class in Fall 2014, we asked students to develop intelligent agents that could address 123 RPM-inspired problems, essentially cro ...
... commonly used test of intelligence. The literature suggests a variety of problem-solving methods for addressing RPM problems. For a graduate-level artificial intelligence class in Fall 2014, we asked students to develop intelligent agents that could address 123 RPM-inspired problems, essentially cro ...
Joanna J. Bryson - Department of Computer Science
... Postdoctoral Fellow with Prof. Marc D. Hauser, working on modeling specialized learning in primates and its applications to safe learning in software agents. October 2001 – Sept 2002 ...
... Postdoctoral Fellow with Prof. Marc D. Hauser, working on modeling specialized learning in primates and its applications to safe learning in software agents. October 2001 – Sept 2002 ...
Intelligent approaches to manage changes and disturbances in
... expanding the adaptive characteristics of the agents 5.1. By applying the developed simulation-based, object-oriented framework for the modelling, evaluation and analysis of distributed manufacturing systems (Thesis 4), and by improving the rule set of the resource agent, I built a new resource agen ...
... expanding the adaptive characteristics of the agents 5.1. By applying the developed simulation-based, object-oriented framework for the modelling, evaluation and analysis of distributed manufacturing systems (Thesis 4), and by improving the rule set of the resource agent, I built a new resource agen ...
Nash Social Welfare in Multiagent Resource Allocation
... – Pigou-Dalton transfer principle: An SWO that satisfies this principle prefers or is at least indifferent to any change that involves only two agents and that is both mean-preserving and inequality-reducing as far as the utilities of these two agents are concerned. This is the most basic fairness p ...
... – Pigou-Dalton transfer principle: An SWO that satisfies this principle prefers or is at least indifferent to any change that involves only two agents and that is both mean-preserving and inequality-reducing as far as the utilities of these two agents are concerned. This is the most basic fairness p ...
View - Association for Computational Creativity
... commonly used test of intelligence. The literature suggests a variety of problem-solving methods for addressing RPM problems. For a graduate-level artificial intelligence class in Fall 2014, we asked students to develop intelligent agents that could address 123 RPM-inspired problems, essentially cro ...
... commonly used test of intelligence. The literature suggests a variety of problem-solving methods for addressing RPM problems. For a graduate-level artificial intelligence class in Fall 2014, we asked students to develop intelligent agents that could address 123 RPM-inspired problems, essentially cro ...
A Survey of the Eighth National Conference on Artificial Intelligence
... underpinnings of these functions such as conceded in Anticipating Arguments against commonsense knowledge and reasoning. We Modeling, Analysis, and Design. could debate whether it makes sense to study I acknowledge that methodological papers intelligence piecewise—you solve vision and I are unpalata ...
... underpinnings of these functions such as conceded in Anticipating Arguments against commonsense knowledge and reasoning. We Modeling, Analysis, and Design. could debate whether it makes sense to study I acknowledge that methodological papers intelligence piecewise—you solve vision and I are unpalata ...
Why would I talk to you?
... perceived as easy to use and the users preferred it over a menu-driven search. This was because people liked being able to express their needs in their own language, they felt that the computer did most of the work for them (i.e. retrieving the relevant information), and thought the chatbot reduced ...
... perceived as easy to use and the users preferred it over a menu-driven search. This was because people liked being able to express their needs in their own language, they felt that the computer did most of the work for them (i.e. retrieving the relevant information), and thought the chatbot reduced ...
Slayt 1
... Drawbacks of Centralized and Hierarchical Scheduling Systems Existence of one central computer; bottleneck of the system Modification of configuration is expensive and time consuming Latency time of decision-making; late response to the realtime events In highly dynamic environment, centralize ...
... Drawbacks of Centralized and Hierarchical Scheduling Systems Existence of one central computer; bottleneck of the system Modification of configuration is expensive and time consuming Latency time of decision-making; late response to the realtime events In highly dynamic environment, centralize ...
Universal Artificial Intelligence: Practical Agents and Fundamental
... state many times, which is the basis of most learning in standard RL. This section will describe how this type of learning is possible, and relate it to some classical philosophical principles about learning. A good image of a UAI agent is that of a newborn baby. Knowing nothing about the world, the ...
... state many times, which is the basis of most learning in standard RL. This section will describe how this type of learning is possible, and relate it to some classical philosophical principles about learning. A good image of a UAI agent is that of a newborn baby. Knowing nothing about the world, the ...
Influence of Psychoanalytic Defense Mechanisms on the Decision
... in this paper we introduce psychoanalytic defense mechanisms to be implemented in multi-agent systems to resolve these conflicts. We give a general insight into defense mechanisms in psychoanalysis and how we transfer this theory to multi-agent systems. We describe the kinds of conflicts in the deci ...
... in this paper we introduce psychoanalytic defense mechanisms to be implemented in multi-agent systems to resolve these conflicts. We give a general insight into defense mechanisms in psychoanalysis and how we transfer this theory to multi-agent systems. We describe the kinds of conflicts in the deci ...
Towards a Programming Paradigm for Artificial Intelligence
... Next, we sketch how to model different scenarios in SBP. Note that we use high-level pseudo code for expressing transition descriptions and emphasise that in an implementation we suggest to use different high-level programming languages tailored to the specific needs of the task handled by the trans ...
... Next, we sketch how to model different scenarios in SBP. Note that we use high-level pseudo code for expressing transition descriptions and emphasise that in an implementation we suggest to use different high-level programming languages tailored to the specific needs of the task handled by the trans ...
A Neural Schema Architecture for Autonomous Robots
... To enable the development and execution of complex behaviors in autonomous robots involving adaptation and learning, sophisticated software architectures are required. The neural schema architecture provides such a system, supporting the development and execution of complex behaviors, or schemas [3] ...
... To enable the development and execution of complex behaviors in autonomous robots involving adaptation and learning, sophisticated software architectures are required. The neural schema architecture provides such a system, supporting the development and execution of complex behaviors, or schemas [3] ...
Intelligent Agents: Theory and Practice
... closes with a discussion, in which we give a brief critical review of current work and open problems, and a section pointing the reader to further relevant reading. Finally, some notes on the scope and aims of the article. First, it is important to realise that we are writing very much from the poin ...
... closes with a discussion, in which we give a brief critical review of current work and open problems, and a section pointing the reader to further relevant reading. Finally, some notes on the scope and aims of the article. First, it is important to realise that we are writing very much from the poin ...
Intentional Embodied Agents
... of geometry in the avatar. A simple example of this is shown in figure 3, where the embodiment consists of three elements, the eyes, the nose, the moustache and mouth. The main advantage of such a system is that it allows independent animation of the various elements. In this example the eyes could ...
... of geometry in the avatar. A simple example of this is shown in figure 3, where the embodiment consists of three elements, the eyes, the nose, the moustache and mouth. The main advantage of such a system is that it allows independent animation of the various elements. In this example the eyes could ...
