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LOGIC PROGRAMMING - University College Dublin
LOGIC PROGRAMMING - University College Dublin

... In his PUP6 system an agent was represented by a 'Being' which had to comply with a predefined structure. It consisted of a fixed number of 'parts', each part representing a question that the ks may be equipped to answer. If a part contained a value then the being is sufficiently knowledgeable with ...
marked
marked

...  Precision: did you get only pages you wanted?  Recall: did you get all pages you wanted?  Ratio of relevant hits to pages explored, resources expended ...
a CoMMUniCaTiVe CoMMUniTY oF aGenTs
a CoMMUniCaTiVe CoMMUniTY oF aGenTs

... Computer modelling is becoming an increasingly important tool for researching the problem of origin and evolution of language. A fundamental technique is that of multi-agent modelling, which simulates a system of dynamically interacting individuals called agents, equipped with strictly defined prope ...
A client-server computational tool for integrated artificial intelligence
A client-server computational tool for integrated artificial intelligence

... turn right, go forward, grab some gold, shoot an arrow straight ahead, and climb out of the cave. The player can only climb out of the cave from the start location. The player receives a score of -1 for each executed move. Gold bars are worth 1000 points, but only if the player successfully carries ...
Dennis/Bordini/Fisher/Farwer
Dennis/Bordini/Fisher/Farwer

... languages for ‘intelligent’ agents (Bordini et al. (2005a)). In our work, we are particularly concerned (at least initially) with approaches based on rational agent theories, primarily the BDI theory developed by Rao and Georgeff (1995). Such languages not only incorporate the autonomous behaviour r ...
A Methodology for Modeling and Representing Expert Knowledge
A Methodology for Modeling and Representing Expert Knowledge

... The long term research goal of our research group is to change the way a knowledge-based agent is built, from being programmed by a knowledge engineer (based on what he or she has learned from a domain expert) to being directly taught by a domain expert that receives limited or no support from a kno ...
Comprehensive Introduction to Intelligent Software Agents for
Comprehensive Introduction to Intelligent Software Agents for

... This is a dangerous time for professional accountants. Technology is changing very rapidly. For example, terms like “Big Data” and “Deep Learning” and “Artificial Intelligence” are being thrown about by software vendors, some of which are little more than snake oil salesman; with these new technolog ...
A conversation with a 3D face - Dipartimento di Informatica
A conversation with a 3D face - Dipartimento di Informatica

... In the architecture of our Agent, we make a main distinction between two components: the Agent’s Mind and its Body. This distinction is motivated by the opportunity to couple the Mind component to different Bodies (virtual humans, 3D faces, 2D characters, and so on), without constraining the symboli ...
“Intelligent” Agents
“Intelligent” Agents

... NO ...
Emotional Intelligence – Applications Based on Multi
Emotional Intelligence – Applications Based on Multi

... specification of how emotions should be implemented in an artificial agent. ...
CAD/CAPP/CAM INTEGRATION METHODOLOGY FOR THE
CAD/CAPP/CAM INTEGRATION METHODOLOGY FOR THE

... STEP standard for product modelling. Martino et al. (1998) propose an approach to integrate the design activities with the other manufacturing and production activities based on features, which supports Design by Features and Feature Recognition. However, although these works are conceptual in essen ...
Space-Time Embedded Intelligence
Space-Time Embedded Intelligence

... Artificial General Intelligence (AGI) is the field whose goal is to understand, design and build programs or machines that are or can become at least as intelligent as humans. We believe that this goal cannot be achieved without a formal, sound and practical theory of artificial intelligence. In the ...
Towards Model-Based Diagnosis of Coordination Failures
Towards Model-Based Diagnosis of Coordination Failures

... modeled as a discrete event system, and the faults are modeled in advance. The diagnoser infers unobservable fault events by computing possible paths in the discrete event system that match observable events. (Horling, Benyo, & Lesser 2001) and (Micalizio, Torasso, & Torta 2004) use causal models of ...
Towards Model-Based Diagnosis of Coordination Failures
Towards Model-Based Diagnosis of Coordination Failures

... Surprisingly, it is still often possible to detect and diagnose coordination failures, given the actions of agents, and the coordination constraints that should ideally hold between them. In the example above, knowing that the two agents should be in agreement as to their actions, and seeing that th ...
The CMUnited-99 Champion Simulator Team
The CMUnited-99 Champion Simulator Team

... shoot were made based on one of three things: (1) the distance to the goal, (2) the number of opponents between the ball and the goal, and (3) a decision tree. All these methods have significant problems in this domain. Distance to the goal completely ignores how the opponents are positioned. The nu ...
IMPROVING THE PERFORMANCES OF ASYNCHRONOUS
IMPROVING THE PERFORMANCES OF ASYNCHRONOUS

... In the distributed constraint satisfaction area, the asynchronous weak commitment search algorithm (AWCS) [17, 18] plays a fundamental and pioneer role among algorithms for solving the distributed CSPs. The algorithm is characterized by an explosion of the nogood values, but by dynamically changing ...
hybrid expert system agents - Universitatea"Petru Maior"
hybrid expert system agents - Universitatea"Petru Maior"

... diagnosis system is proposed for difficult problems solving, like the diagnoses of combinations of illnesses (patients that suffer from combinations of illnesses). In the papers [5, 6] are analyzed different aspects related with a novel hybrid diagnosis system. The novelty consists in the diagnosis ...
Economic reasoning and artificial intelligence
Economic reasoning and artificial intelligence

... on the design of systems populated by multiple AIs. These multi-agent systems will function as AI economies, with AIs engaged in transactions with other AIs as well as with firms and people. This prospect has spawned interest in expanding theories of normative design from economics, optimizing rules ...
Economic reasoning and artificial intelligence
Economic reasoning and artificial intelligence

... on the design of systems populated by multiple AIs. These multi-agent systems will function as AI economies, with AIs engaged in transactions with other AIs as well as with firms and people. This prospect has spawned interest in expanding theories of normative design from economics, optimizing rules ...
Agent-based Abstractions for Verifying Alternating
Agent-based Abstractions for Verifying Alternating

... A key issue concerning these logics for strategic reasoning regards the development of techniques for verifying multiagent systems (MAS) with respect to properties expressed in these rich formal languages. This endeavour is problematic as the typical verification problems for several of these formal ...
Distributed case-based reasoning
Distributed case-based reasoning

... Several types of cooperation among CBR agents (CoopCBR) have been proposed by Plaza and Ontañón. In ensemble CBR (Plaza & Ontañón, 2001) they study the “ensemble effect” where a collection of agents with uncorrelated case bases improve the accuracy of any individual. The ensemble effect diminish ...
Reasoning and Acting in Time - Association for the Advancement of
Reasoning and Acting in Time - Association for the Advancement of

... what this exactly means, a number of general assumptions about what is reasonably to be expected from an embodied cognitive agent should first be pointed out. First, to appropriately behave in a changing world, an agent must be aware of its environment and the outcome of its acts, and ready to recov ...
The Liability Problem for Autonomous Artificial Agents
The Liability Problem for Autonomous Artificial Agents

... with traditional engineering. But when AI systems are allowed to continue modifying their functions and learn after they are deployed, their behavior will become dependent on novel input data, which designers and users cannot predict or control. As a result, the behavior of the learned functions wil ...
Swarm intelligence (SI) is the collective
Swarm intelligence (SI) is the collective

... Charged System Search (CSS) [9] is a new optimization algorithm based on some principles from physics and mechanics. CSS utilizes the governing laws of Coulomb and Gauss from electrostatics and the Newtonian laws of mechanics. CSS is a multi-agent approach in which each agent is a Charged Particle ( ...
Stojanov
Stojanov

... representations are useful for their human interpreters. It is not clear, once they are made internal for some system where and who is supposed to be the interpreter. From within the cognitive system, and not having a direct (whatever that could mean) contact with the world how could the system ever ...
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Agent (The Matrix)

Agents are a group of characters in The Matrix franchise. They are sentient computer programs carefully disguised like average-looking human males, displaying a high-level of artificial intelligence.Agents are representatives within the Matrix fictional universe. They are guardians within the computer-generated world of the Matrix, protecting it from anyone or anything (most often Redpills) that could reveal it as a false reality or threaten it in any other way.Agents also hunt down and terminate any rogue programs, such as The Keymaker, which no longer serves a purpose to the overall Machine objective. They physically appear human, but have a tendency to speak and act in highly precise and mechanical ways.
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