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 ...
... 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 ...
Software Reliability Prediction Using Multi-Objective
... has proven to perform well considering different project characteristics. The ability to predict the number of faults in the software during development and testing processes. In this paper, we explore Genetic Algorithms (GA) as an alternative approach to derive these models. GA is a powerful machin ...
... has proven to perform well considering different project characteristics. The ability to predict the number of faults in the software during development and testing processes. In this paper, we explore Genetic Algorithms (GA) as an alternative approach to derive these models. GA is a powerful machin ...
Expert Systems
... – Does not guarantee an optimal solution (often settles in a sub optimal solution / local minimum) – Not all problems can be put into GA formulation – Development and interpretation of GA solutions requires both programming and statistical skills – Relies heavily on the random number generators – Lo ...
... – Does not guarantee an optimal solution (often settles in a sub optimal solution / local minimum) – Not all problems can be put into GA formulation – Development and interpretation of GA solutions requires both programming and statistical skills – Relies heavily on the random number generators – Lo ...
Commonsense Reasoning by Integrating Simulation and Logic
... are currently difficult to directly exploit as a resource for commonsense reasoning, they do present a rich resource of implicit commonsense ‘know-how’. Some projects have attempted to exploit this resource indirectly [5]—placing an agent within a simulated environment to explore and learn about hu ...
... are currently difficult to directly exploit as a resource for commonsense reasoning, they do present a rich resource of implicit commonsense ‘know-how’. Some projects have attempted to exploit this resource indirectly [5]—placing an agent within a simulated environment to explore and learn about hu ...
Lecture Notes in Artificial Intelligence 5466
... social sciences. Epstein (2007) recently suggested a coherent manifesto to what he called “generative social science”, where agent-based models are used as the bestsuited modeling instrument to formalize micro-macro models of social and economic phenomena. In his influential manifesto of analytical ...
... social sciences. Epstein (2007) recently suggested a coherent manifesto to what he called “generative social science”, where agent-based models are used as the bestsuited modeling instrument to formalize micro-macro models of social and economic phenomena. In his influential manifesto of analytical ...
hybrid expert system agents - Universitatea"Petru Maior"
... component will select the best-fitted specialization (neural network) for the problem solving. Using the proposed architecture the neural networks can be used more flexibly in the problems solving. In the literature, there exist many definitions of the agents’ intelligence [2, 13, 16, 18]. A propose ...
... component will select the best-fitted specialization (neural network) for the problem solving. Using the proposed architecture the neural networks can be used more flexibly in the problems solving. In the literature, there exist many definitions of the agents’ intelligence [2, 13, 16, 18]. A propose ...
Stojanov
... (which brings in fresh oxygen and disposes the waste products). He calls these systems self-maintenant. Furthermore, a system that could maintain its condition of being self-maintenant is called recursively self-maintenant system. Candle flame certainly is not recursively selfmaintenant, because the ...
... (which brings in fresh oxygen and disposes the waste products). He calls these systems self-maintenant. Furthermore, a system that could maintain its condition of being self-maintenant is called recursively self-maintenant system. Candle flame certainly is not recursively selfmaintenant, because the ...
AI Chapter 3: Intelligent Agents - Foundations of Artificial Intelligence
... for, talking about that: Useful for a research field to establish a common language. ...
... for, talking about that: Useful for a research field to establish a common language. ...
Efficient Interdependent Value Combinatorial Auctions with Single Minded Bidders
... for bundle B2 ”. For this setting, Dasgupta and Maskin [2000] design an efficient auction, in which allocation is computed based on the fixed point of the vector of bids. They also show this auction can be implemented in an ex-post equilibrium, subject to the agent’s valuations satisfying single cro ...
... for bundle B2 ”. For this setting, Dasgupta and Maskin [2000] design an efficient auction, in which allocation is computed based on the fixed point of the vector of bids. They also show this auction can be implemented in an ex-post equilibrium, subject to the agent’s valuations satisfying single cro ...
CMSC 372 Artificial Intelligence
... • An agent should strive to "do the right thing", based on what it can perceive and the actions it can perform. The right action is the one that will cause the agent to be most successful • Performance measure: An objective criterion for success of an agent's behavior • E.g., performance measure of ...
... • An agent should strive to "do the right thing", based on what it can perceive and the actions it can perform. The right action is the one that will cause the agent to be most successful • Performance measure: An objective criterion for success of an agent's behavior • E.g., performance measure of ...
Towards Model-Based Diagnosis of Coordination Failures
... 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 their actions are not in agreement, is sufficient to (1) show that ...
... 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 their actions are not in agreement, is sufficient to (1) show that ...
Lecture 1 Course Introduction Artificial Intelligence
... action and pursuit, is thought to aim at some good However, humans do not always act rationally 1) Approach more amenable to scientific development than approaches based on human behaviour or human thought. 2) Leads to study correct inference and general laws of thought ...
... action and pursuit, is thought to aim at some good However, humans do not always act rationally 1) Approach more amenable to scientific development than approaches based on human behaviour or human thought. 2) Leads to study correct inference and general laws of thought ...
Learning Action Models for Multi-Agent Planning
... might interfere with φi ’s action. Creating action models for these agents by hand is difficult and time-consuming due to the complex interactions among agents. Our objective is to explore learning algorithms that can automatically learn action models in multi-agent environments that can then be fed ...
... might interfere with φi ’s action. Creating action models for these agents by hand is difficult and time-consuming due to the complex interactions among agents. Our objective is to explore learning algorithms that can automatically learn action models in multi-agent environments that can then be fed ...
Creativity in Configuring Affective Agents for Interactive Storytelling
... and the set of capabilities available to a specific agent. Examples of architectures that add an operationalization of affective appraisal are FAtiMA (Dias and Paiva 2005) or ActAffAct (Rank 2005). The addition of affective appraisal results in further parameters for exploring configurations: the re ...
... and the set of capabilities available to a specific agent. Examples of architectures that add an operationalization of affective appraisal are FAtiMA (Dias and Paiva 2005) or ActAffAct (Rank 2005). The addition of affective appraisal results in further parameters for exploring configurations: the re ...
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 ...
... 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 ...
Intelligent Environmental Decision Support Systems - Model
... 8,1.2 New tools for a new paradigm Over the last few decades, lllathematicall statistical models, numerical algorithms and cOtnputer simulations have been used as an appropriate means to gain insight into environmental Inanagemcnt probleIlls and provide useful infonnation to decision makers. To this ...
... 8,1.2 New tools for a new paradigm Over the last few decades, lllathematicall statistical models, numerical algorithms and cOtnputer simulations have been used as an appropriate means to gain insight into environmental Inanagemcnt probleIlls and provide useful infonnation to decision makers. To this ...
S - GdR-IQFA
... • As part of the simulation, new clips may be created by variation or composition. Such internally generated fictitious clips can influence factual actions of the agent. • If a resulting action is rewarded, new clips will become integrated into memory. ( basis for new behavioral patterns). ...
... • As part of the simulation, new clips may be created by variation or composition. Such internally generated fictitious clips can influence factual actions of the agent. • If a resulting action is rewarded, new clips will become integrated into memory. ( basis for new behavioral patterns). ...
Reorganisation and Self-organisation in Multi
... Changing the organisation may imply changes within the system at different levels and at different extents. These changes strongly depend on the chosen view (ACPV or OCVP) and on the organisational capabilities of agents (being or not aware of the organisation). Considering the emergence-based MAS, ...
... Changing the organisation may imply changes within the system at different levels and at different extents. These changes strongly depend on the chosen view (ACPV or OCVP) and on the organisational capabilities of agents (being or not aware of the organisation). Considering the emergence-based MAS, ...
NEST: An Environment for Neural Systems Simulations
... It is a well established idea that information processing in the central nervous system relies on the electric discharges (action potentials or spikes) of a certain class of cells, the neurons, which interact at specialized points of contacts, the synapses. A generated spike arrives at one or more t ...
... It is a well established idea that information processing in the central nervous system relies on the electric discharges (action potentials or spikes) of a certain class of cells, the neurons, which interact at specialized points of contacts, the synapses. A generated spike arrives at one or more t ...
Exploiting Anonymity and Homogeneity in Factored
... While homogeneity and anonymity have broad applicability in multi-agent systems, we specifically focus on multiagent planning problems represented using the rich framework of Decentralized Markov Decision Process (Dec-MDP) [2]. Dec-MDP provides a framework to represent decentralized decision-making ...
... While homogeneity and anonymity have broad applicability in multi-agent systems, we specifically focus on multiagent planning problems represented using the rich framework of Decentralized Markov Decision Process (Dec-MDP) [2]. Dec-MDP provides a framework to represent decentralized decision-making ...
Using Sentence-Level LSTM Language Models for Script Inference
... Pichotta and Mooney (2014) give a cooccurrence based script system that models and infers more complex multi-argument events from text. For example, in the above example, their model would ideally be able to infer a single event like accept(Wiles, prize), as opposed to the two simpler pairs from whi ...
... Pichotta and Mooney (2014) give a cooccurrence based script system that models and infers more complex multi-argument events from text. For example, in the above example, their model would ideally be able to infer a single event like accept(Wiles, prize), as opposed to the two simpler pairs from whi ...