Exemplo n.º 1
0
        /// <summary>
        ///     an agent ask for help, but he can choose different mediums like email, phone, ...
        /// </summary>
        /// <returns></returns>
        public static CommunicationMediums NextMedium(CommunicationMediums mediums)
        {
            var count = Count(mediums);

            if (count == 0)
            {
                return(CommunicationMediums.System);
            }

            var index    = DiscreteUniform.SampleToByte(count - 1);
            var channels = ToArray(mediums);

            return((CommunicationMediums)channels[index]);
        }
Exemplo n.º 2
0
 /// <summary>
 ///     Get a random knowledge Bit (index)index
 /// </summary>
 /// <returns></returns>
 public byte GetRandomBitIndex()
 {
     return(DiscreteUniform.SampleToByte(0, (byte)(Length - 1)));
 }
Exemplo n.º 3
0
        /// <summary>
        ///     The agent have received a message that ask for belief in return
        ///     stochastic Filtering agentKnowledge based on MinimumBitsOfKnowledgeToSend/MaximumBitsOfKnowledgeToSend
        ///     Work with non binary KnowledgeBits
        /// </summary>
        /// <returns>null if he don't have the belief or the right</returns>
        /// <returns>a beliefBits if he has the belief or the right</returns>
        /// <returns>With binary KnowledgeBits it will return a float of 0</returns>
        /// <example>KnowledgeBits[0,1,0.6] and MinimumKnowledgeToSend = 0.8 => KnowledgeBits[0,1,0]</example>
        public Bits FilterBeliefToSend(IAgentId beliefId, byte beliefBit, CommunicationTemplate medium)
        {
            if (medium is null)
            {
                throw new ArgumentNullException(nameof(medium));
            }

            // If don't have belief, can't send belief or no belief asked
            if (!_messageContent.CanSendBeliefs || !On)
            {
                return(null);
            }

            // intentionally after Cognitive.MessageContent.CanSendBeliefs test
            if (Beliefs == null)
            {
                throw new NullReferenceException(nameof(Beliefs));
            }

            // If Agent don't have the belief, he can't reply
            if (!BelievesEnough(beliefId, beliefBit,
                                _messageContent.MinimumBeliefToSendPerBit))
            {
                return(null);
            }

            var agentBelief = _actorBeliefNetwork.Edge <ActorBelief>(_agentId, beliefId);

            if (agentBelief is null)
            {
                throw new ArgumentNullException(nameof(agentBelief));
            }

            // Filter the belief to send, via the good communication channel// Filtering via the good channel
            var minBits = Math.Max(_messageContent.MinimumNumberOfBitsOfBeliefToSend,
                                   medium.MinimumNumberOfBitsOfBeliefToSend);
            var maxBits = Math.Min(_messageContent.MaximumNumberOfBitsOfBeliefToSend,
                                   medium.MaximumNumberOfBitsOfBeliefToSend);
            var minKnowledge = Math.Max(_messageContent.MinimumBeliefToSendPerBit,
                                        medium.MinimumBeliefToSendPerBit);

            // Random knowledgeBits to send
            if (minBits > maxBits)
            {
                minBits = maxBits;
            }

            var lengthToSend = DiscreteUniform.SampleToByte(minBits, maxBits);

            if (lengthToSend == 0)
            {
                return(null);
            }

            var beliefIndexToSend = DiscreteUniform.SamplesToByte(lengthToSend, agentBelief.Length - 1);

            // Force the first index of the knowledgeIndex To send to be the knowledgeBit asked by an agent
            beliefIndexToSend[0] = beliefBit;
            var beliefBitsToSend = agentBelief.CloneWrittenBeliefBits(_messageContent.MinimumBeliefToSendPerBit);

            // knowledgeBitsToSend full of 0 except for the random indexes knowledgeIndexToSend
            for (byte i = 0; i < beliefBitsToSend.Length; i++)
            {
                if (!beliefIndexToSend.Contains(i) || Math.Abs(beliefBitsToSend.GetBit(i)) < minKnowledge)
                {
                    beliefBitsToSend.SetBit(i, 0);
                }
            }

            // Check Length of message
            // We don't find always what we were looking for
            return(Math.Abs(beliefBitsToSend.GetSum()) < Tolerance ? null : beliefBitsToSend);
        }
Exemplo n.º 4
0
        /// <summary>
        ///     The agent have received a message that ask for knowledge in return
        ///     stochastic Filtering agentKnowledge based on MinimumBitsOfKnowledgeToSend/MaximumBitsOfKnowledgeToSend
        ///     Work with non binary KnowledgeBits
        /// </summary>
        /// <returns>null if he don't have the knowledge or the right</returns>
        /// <returns>a knowledgeBits if he has the knowledge or the right</returns>
        /// <returns>With binary KnowledgeBits it will return a float of 0</returns>
        /// <example>KnowledgeBits[0,1,0.6] and MinimumKnowledgeToSend = 0.8 => KnowledgeBits[0,1,0]</example>
        public Bits FilterKnowledgeToSend(IAgentId knowledgeId, byte knowledgeBit, CommunicationTemplate medium,
                                          ushort step, out byte[] knowledgeIndexToSend)
        {
            knowledgeIndexToSend = null;
            if (medium is null)
            {
                throw new ArgumentNullException(nameof(medium));
            }

            // If can't send knowledge or no knowledge asked
            if (!On || !_messageContent.CanSendKnowledge) //|| Expertise == null)
            {
                return(null);
            }

            if (!KnowsEnough(knowledgeId, knowledgeBit,
                             _messageContent.MinimumKnowledgeToSendPerBit, step))
            {
                return(null);
            }

            var agentKnowledge = GetActorKnowledge(knowledgeId);

            if (agentKnowledge is null)
            {
                throw new ArgumentNullException(nameof(agentKnowledge));
            }
            // Filter the Knowledge to send, via the good communication medium

            knowledgeIndexToSend = null;
            // Filtering via the good channel
            var minBits = Math.Max(_messageContent.MinimumNumberOfBitsOfKnowledgeToSend,
                                   medium.MinimumNumberOfBitsOfKnowledgeToSend);
            var maxBits = Math.Min(_messageContent.MaximumNumberOfBitsOfKnowledgeToSend,
                                   medium.MaximumNumberOfBitsOfKnowledgeToSend);
            var minKnowledge = Math.Max(_messageContent.MinimumKnowledgeToSendPerBit,
                                        medium.MinimumKnowledgeToSendPerBit);
            // Random knowledgeBits to send
            var lengthToSend = DiscreteUniform.SampleToByte(Math.Min(minBits, maxBits), Math.Max(minBits, maxBits));

            if (lengthToSend == 0)
            {
                return(null);
            }

            knowledgeIndexToSend = DiscreteUniform.SamplesToByte(lengthToSend, agentKnowledge.Length - 1);
            // Force the first index of the knowledgeIndex To send to be the knowledgeBit asked by an agent
            knowledgeIndexToSend[0] = knowledgeBit;
            var knowledgeBitsToSend = Bits.Initialize(agentKnowledge.Length, 0F);

            for (byte i = 0; i < knowledgeIndexToSend.Length; i++)
            {
                var index = knowledgeIndexToSend[i];
                if (agentKnowledge.GetKnowledgeBit(index) >= minKnowledge)
                {
                    knowledgeBitsToSend[index] = agentKnowledge.GetKnowledgeBit(index);
                }
            }

            var bitsToSend = new Bits(knowledgeBitsToSend, 0);

            // Check Length of message
            // We don't find always what we were looking for
            return(Math.Abs(bitsToSend.GetSum()) < Tolerance ? null : bitsToSend);
        }